Advances in Mountain Gazelle Optimizer: A Comprehensive Study on its Classification and Applications

The Mountain Gazelle Optimizer (MGO) is a newly emerging nature-inspired metaheuristic algorithm based on mountain gazelles' regionally and adaptively directed behavior. It is intended to solve complex optimization problems with an effective balance of exploration and exploitation. The MGO has...

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Veröffentlicht in:International journal of computational intelligence systems Jg. 18; H. 1; S. 247 - 49
Hauptverfasser: Anka, Ferzat, Gharehchopogh, Farhad Soleimanian, Tejani, Ghanshyam G., Mousavirad, Seyed Jalaleddin
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Dordrecht Springer Netherlands 06.10.2025
Springer Nature B.V
Springer
Schlagworte:
Adjustment
Artificial Intelligence
Classification
Complexity
Computational Intelligence
Control
Engineering
Exploitation
Genetic algorithms
Heuristic methods
Hybrid methods
Hybrid methods
Improved performance
Improved performance
Mathematical Logic and Foundations
Mechatronics
Metaheuristic algorithm
Mountain gazelle optimizer
Mountains
Multiple objective analysis
Mutation
Optimization
Optimization algorithms
Real time
Robotics
Improved performance
Metaheuristic algorithm
Hybrid methods
Mountain gazelle optimizer
Classification
ISSN:1875-6883, 1875-6891, 1875-6883
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Abstract The Mountain Gazelle Optimizer (MGO) is a newly emerging nature-inspired metaheuristic algorithm based on mountain gazelles' regionally and adaptively directed behavior. It is intended to solve complex optimization problems with an effective balance of exploration and exploitation. The MGO has several benefits: it is scalable, adaptable, parameter-free, capable of multi-objective optimization , and offers real-world application opportunities. The drawbacks of MGO include susceptibility to premature convergence, high computational complexity, and limited scalability to solve higher dimensional problems. The focus of the work is to investigate the development of MGO in the optimization field thoroughly. This review addresses the capabilities and limitations and express its growing relevance across applications. The investigation will refer to 89 studies published on MGO, categorized into four headings: adapted, variants, hybrid, and enhanced, contributing 37, 3, 33, and 27%, respectively, of all studies. This review is to supply researchers and practitioners with a comprehensive overview of potential optimization strategies. The review will compile and synthesize relevant studies to portray potential development opportunities for MGO and practical applications.
AbstractList The Mountain Gazelle Optimizer (MGO) is a newly emerging nature-inspired metaheuristic algorithm based on mountain gazelles' regionally and adaptively directed behavior. It is intended to solve complex optimization problems with an effective balance of exploration and exploitation. The MGO has several benefits: it is scalable, adaptable, parameter-free, capable of multi-objective optimization , and offers real-world application opportunities. The drawbacks of MGO include susceptibility to premature convergence, high computational complexity, and limited scalability to solve higher dimensional problems. The focus of the work is to investigate the development of MGO in the optimization field thoroughly. This review addresses the capabilities and limitations and express its growing relevance across applications. The investigation will refer to 89 studies published on MGO, categorized into four headings: adapted, variants, hybrid, and enhanced, contributing 37, 3, 33, and 27%, respectively, of all studies. This review is to supply researchers and practitioners with a comprehensive overview of potential optimization strategies. The review will compile and synthesize relevant studies to portray potential development opportunities for MGO and practical applications.
Abstract The Mountain Gazelle Optimizer (MGO) is a newly emerging nature-inspired metaheuristic algorithm based on mountain gazelles' regionally and adaptively directed behavior. It is intended to solve complex optimization problems with an effective balance of exploration and exploitation. The MGO has several benefits: it is scalable, adaptable, parameter-free, capable of multi-objective optimization , and offers real-world application opportunities. The drawbacks of MGO include susceptibility to premature convergence, high computational complexity, and limited scalability to solve higher dimensional problems. The focus of the work is to investigate the development of MGO in the optimization field thoroughly. This review addresses the capabilities and limitations and express its growing relevance across applications. The investigation will refer to 89 studies published on MGO, categorized into four headings: adapted, variants, hybrid, and enhanced, contributing 37, 3, 33, and 27%, respectively, of all studies. This review is to supply researchers and practitioners with a comprehensive overview of potential optimization strategies. The review will compile and synthesize relevant studies to portray potential development opportunities for MGO and practical applications.
The Mountain Gazelle Optimizer (MGO) is a newly emerging nature-inspired metaheuristic algorithm based on mountain gazelles' regionally and adaptively directed behavior. It is intended to solve complex optimization problems with an effective balance of exploration and exploitation. The MGO has several benefits: it is scalable, adaptable, parameter-free, capable of multi-objective optimization , and offers real-world application opportunities. The drawbacks of MGO include susceptibility to premature convergence, high computational complexity, and limited scalability to solve higher dimensional problems. The focus of the work is to investigate the development of MGO in the optimization field thoroughly. This review addresses the capabilities and limitations and express its growing relevance across applications. The investigation will refer to 89 studies published on MGO, categorized into four headings: adapted, variants, hybrid, and enhanced, contributing 37, 3, 33, and 27%, respectively, of all studies. This review is to supply researchers and practitioners with a comprehensive overview of potential optimization strategies. The review will compile and synthesize relevant studies to portray potential development opportunities for MGO and practical applications.
ArticleNumber 247
Author Gharehchopogh, Farhad Soleimanian
Anka, Ferzat
Tejani, Ghanshyam G.
Mousavirad, Seyed Jalaleddin
Author_xml – sequence: 1
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  surname: Anka
  fullname: Anka, Ferzat
  organization: Data Science Application and Research Center (VEBIM), Fatih Sultan Mehmet Vakif University
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  givenname: Farhad Soleimanian
  surname: Gharehchopogh
  fullname: Gharehchopogh, Farhad Soleimanian
  organization: Department of Computer Engineering, Urmia Branch, Islamic Azad University
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  givenname: Ghanshyam G.
  orcidid: 0000-0001-9106-0313
  surname: Tejani
  fullname: Tejani, Ghanshyam G.
  email: p.shyam23@gmail.com
  organization: Department of Research Analytics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Department of Industrial Engineering and Management, Yuan Ze University
– sequence: 4
  givenname: Seyed Jalaleddin
  surname: Mousavirad
  fullname: Mousavirad, Seyed Jalaleddin
  email: Seyedjalaleddin.mousavirad@miun.se
  organization: Department of Computer and Electrical Engineering, Mid Sweden University
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Cites_doi 10.1016/j.asej.2024.102876
10.1109/ACCESS.2025.3543594
10.1016/B978-0-443-13925-3.00017-0
10.1007/978-981-99-7969-1_2
10.1016/j.clet.2024.100808
10.1016/j.suscom.2025.101098
10.1049/iet-wss.2019.0153
10.1007/s12530-024-09585-6
10.1016/j.apacoust.2024.110200
10.3390/biomimetics8050386
10.1109/ICCSN.2010.98
10.1016/j.est.2023.108864
10.1038/s41598-024-54384-3
10.26740/vubeta.v1i1.34073
10.1109/ICRTCST61793.2024.10578430
10.1007/s11831-022-09872-y
10.1007/s11227-024-05930-3
10.1109/ACCESS.2023.3332666
10.1007/s42235-023-00394-2
10.1016/j.conbuildmat.2024.138955
10.1016/j.jksuci.2023.101655
10.1155/int/5054424
10.1109/IATMSI60426.2024.10503033
10.3390/math12020186
10.1007/s11831-022-09817-5
10.3390/math11102340
10.1016/j.aej.2024.11.016
10.1109/ICITDA64560.2024.10809637
10.1080/19648189.2024.2428979
10.1109/SC2.2017.18
10.1016/j.energy.2023.128317
10.1007/s00500-022-07470-5
10.1016/j.asoc.2011.05.008
10.1016/j.eswa.2023.121544
10.1016/B978-0-443-13925-3.00002-9
10.1007/s00202-024-02871-1
10.1016/j.bspc.2024.107136
10.1109/GEC61857.2024.10881408
10.3390/math11224565
10.1016/j.ejrh.2024.101703
10.1007/s10462-024-11023-7
10.1016/j.eswa.2023.120069
10.1109/CERA59325.2023.10455360
10.1109/ICEE63041.2024.10668359
10.1016/j.knosys.2022.108457
10.1016/j.cma.2022.115764
10.1007/s11356-023-26447-x
10.3390/en17122968
10.1080/19427867.2024.2404358
10.1016/j.energy.2024.132407
10.1007/s12065-024-00917-8
10.1016/j.asoc.2024.111696
10.1007/s10462-023-10613-1
10.1109/ICPEICES62430.2024.10719199
10.1111/exsy.13826
10.1007/s00500-018-3102-4
10.1186/s44147-024-00396-9
10.1007/978-3-030-70542-8_12
10.1007/s00366-022-01604-x
10.1016/j.advengsoft.2017.07.002
10.1007/s11831-024-10217-0
10.1016/j.asoc.2024.111574
10.1109/COMITCon.2019.8862255
10.1177/1687814019866062
10.1016/j.knosys.2023.111218
10.1137/130915303
10.1016/j.knosys.2024.111412
10.1109/TCE.2024.3371774
10.1007/s00521-019-04570-6
10.23919/CCC63176.2024.10661970
10.3934/aci.2023007
10.1007/s00202-024-02441-5
10.55145/ajest.2025.04.01.011
10.1515/mt-2023-0332
10.1016/j.yofte.2024.104014
10.1002/oca.3230
10.1016/j.engappai.2022.105622
10.1016/j.cie.2021.107408
10.1016/j.compbiomed.2023.107674
10.1016/j.advengsoft.2023.103423
10.1016/j.jksuci.2023.101812
10.1007/s00500-022-07115-7
10.1016/j.uclim.2024.101916
10.1109/icSmartGrid61824.2024.10578139
10.1016/j.ref.2024.100550
10.1007/s10115-025-02422-5
10.1109/GEC61857.2024.10881615
10.1016/j.aei.2024.102464
10.3390/en18020379
10.1016/j.csite.2025.106437
10.1007/s10462-023-10567-4
10.1109/ICJECE.2024.3351152
10.1111/itor.12001
10.21608/auej.2024.250791.1483
10.53106/160792642021072204003
10.1007/s12063-024-00526-9
10.54554/ijeeas.2024.7.01.006
10.1007/s11831-025-10307-7
10.1007/s00521-022-07854-6
10.1137/S1052623493250780
10.1007/s00202-024-02353-4
10.1371/journal.pone.0252754
10.1016/j.advengsoft.2015.01.010
10.1109/GTSD62346.2024.10675057
10.1007/s00500-016-2474-6
10.1109/JSEN.2023.3334819
10.1007/s00366-019-00837-7
10.1016/j.heliyon.2024.e35887
10.1109/PhDEDITS64207.2024.10838663
10.1007/s11831-024-10202-7
10.1016/j.egyr.2024.03.060
10.1016/j.eswa.2024.125055
10.1007/s12530-024-09654-w
10.1007/s11063-023-11230-3
10.1007/s00521-024-09433-3
10.1007/s10586-023-04221-5
10.1038/s41598-024-54910-3
10.1016/j.engappai.2022.105082
10.1002/9781119551621.ch2
10.1109/ACCESS.2024.3474184
10.1088/2631-8695/ad4cb7
10.1007/s44196-024-00444-5
10.1109/ISMSIT63511.2024.10757294
10.1007/978-3-642-00185-7_1
10.1111/itor.13176
10.3390/pr9050859
10.1016/j.compind.2024.104209
10.1016/j.yofte.2024.104111
10.1109/ICoICI62503.2024.10696036
10.1007/s00202-024-02375-y
10.1109/JSEN.2024.3389991
10.1007/s11227-024-06616-6
10.1049/esi2.12111
10.3390/smartcities8010037
10.5937/IMCSM24014J
10.1108/MEQ-02-2024-0061
10.1007/s41870-024-02399-4
10.1016/j.mtcomm.2024.109394
10.1371/journal.pone.0307288
10.1016/j.eswa.2023.119877
10.1016/j.advengsoft.2022.103282
10.1016/j.asoc.2024.111946
10.1007/s40435-023-01381-5
10.3390/diagnostics13203211
10.1007/s10462-020-09911-9
10.1007/s43995-025-00160-x
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Keywords Improved performance
Metaheuristic algorithm
Hybrid methods
Mountain gazelle optimizer
Classification
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References MH Amiri (968_CR158) 2024; 14
M Verma (968_CR53) 2024; 88
TM Nasser (968_CR123) 2023; 13
AA Aloukili (968_CR124) 2024; 19
MH Zafar (968_CR66) 2023; 282
968_CR138
968_CR136
F Kiani (968_CR47) 2023; 178
F Kiani (968_CR62) 2019; 11
968_CR75
K Joni (968_CR95) 2024; 1
S Mirjalili (968_CR140) 2015; 83
968_CR139
N Khodadadi (968_CR160) 2023; 3
S Santra (968_CR127) 2023; 5
968_CR145
G Chen (968_CR119) 2025; 55
R Rajabioun (968_CR144) 2011; 11
FEZ Magdy (968_CR52) 2024; 15
A Kumar (968_CR135) 2024
R Salgotra (968_CR90) 2024; 286
L Deng (968_CR16) 2024; 164
F Shannaq (968_CR38) 2025; 42
F Ergen (968_CR68) 2024; 40
R Rani (968_CR78) 2025; 16
M Elseddik (968_CR164) 2023; 13
F Anka (968_CR25) 2025
K Sörensen (968_CR9) 2015; 22
F Kiani (968_CR8) 2023; 11
MZ Iftikhar (968_CR76) 2024; 49
JP Vielma (968_CR74) 2015; 57
968_CR147
968_CR146
A Ebrahimzadeh (968_CR87) 2025; 15
U Mumtahina (968_CR88) 2025; 18
968_CR82
N Ramachandra (968_CR92) 2024
M Shehab (968_CR43) 2023; 30
968_CR81
968_CR84
968_CR83
968_CR156
L Deng (968_CR20) 2023; 55
968_CR80
968_CR154
L Deng (968_CR11) 2024; 237
JN Hasoon (968_CR63) 2025; 4
D Izci (968_CR77) 2024; 106
Y Meraihi (968_CR33) 2021; 54
A Pratap (968_CR107) 2024
L Wang (968_CR31) 2022; 114
M Abdelsattar (968_CR133) 2024; 36
M Zellagui (968_CR128) 2023; 56
ME Abd-Elmaboud (968_CR50) 2024; 52
M Shehab (968_CR27) 2024; 17
R Salgotra (968_CR7) 2024; 14
L Abualigah (968_CR86) 2021
A Seyyedabbasi (968_CR35) 2023; 39
L Deng (968_CR23) 2025; 164
968_CR159
968_CR157
MA Abu-Hashem (968_CR28) 2024; 41
968_CR97
R Salgotra (968_CR4) 2024
W Song (968_CR67) 2024
L Zhou (968_CR59) 2025
B Abdollahzadeh (968_CR36) 2021; 158
L Deng (968_CR17) 2023; 404
M Al-Dhaifallah (968_CR79) 2024; 11
M Braik (968_CR105) 2022; 243
A Salim (968_CR153) 2024
L Deng (968_CR19) 2023; 56
Y Li (968_CR98) 2024; 19
DM Utama (968_CR142) 2024; 17
L Abualigah (968_CR39) 2024
S Arora (968_CR104) 2019; 23
SK Bodapatla (968_CR101) 2024; 106
SM Said (968_CR93) 2023; 73
P Mehta (968_CR49) 2024; 66
AFS Yussif (968_CR112) 2023; 10
R Abbassi (968_CR130) 2023; 11
RR Mostafa (968_CR165) 2024; 283
P Sarangi (968_CR120) 2024; 17
J Gao (968_CR96) 2024; 306
F Kiani (968_CR6) 2021; 22
RR Mostafa (968_CR162) 2024; 15
Y Xiao (968_CR24) 2025; 2025
A Alorf (968_CR1) 2023; 117
L Mohammad Abualigah (968_CR54) 2020
Y Xiao (968_CR21) 2024; 61
RR Mostafa (968_CR14) 2023; 27
968_CR34
AJ Sánchez-Medina (968_CR56) 2025
F Anka (968_CR152) 2025; 142
968_CR100
F Anka (968_CR41) 2024
M Shehab (968_CR42) 2024; 21
JO Agushaka (968_CR72) 2023; 35
FEZ Magdy (968_CR137) 2023; 11
L Deng (968_CR32) 2023; 225
H Alamro (968_CR65) 2025; 113
J Choudhary (968_CR129) 2025; 36
H Kou (968_CR58) 2024; 452
B Abdollahzadeh (968_CR29) 2022; 174
A Seyyedabbasi (968_CR48) 2021; 37
P Sarangi (968_CR102) 2024
L Deng (968_CR15) 2025
L Deng (968_CR18) 2023; 222
K Chandrasekaran (968_CR108) 2023; 30
E Gomes (968_CR121) 2024; 17
968_CR110
J Lu (968_CR141) 2025; 90
AM Khedr (968_CR85) 2024; 45
S Chauhan (968_CR149) 2024; 225
B Arasteh (968_CR3) 2024; 12
B Arasteh (968_CR89) 2023; 35
F Kiani (968_CR26) 2025
H Yang (968_CR57) 2024; 55
A Seyyedabbasi (968_CR155) 2020; 10
A Abdollahpour (968_CR99) 2024; 80
L Deng (968_CR13) 2024; 158
Y Xiao (968_CR22) 2025; 58
968_CR116
AK Pandey (968_CR131) 2025; 8
V Torczon (968_CR73) 1997; 7
Z Montazeri (968_CR5) 2023; 8
M Al-Shalabi (968_CR2) 2025
968_CR117
M Maashi (968_CR151) 2024
L Deng (968_CR12) 2024; 160
M Shehab (968_CR46) 2020; 32
968_CR122
Y Xu (968_CR55) 2024; 71
BB Al-Onazi (968_CR64) 2023
A Pourbasir (968_CR51) 2024
M Shehab (968_CR94) 2022; 26
B Mahdad (968_CR111) 2024; 6
KK Lella (968_CR61) 2025; 103
SY Abdul-Fatawu (968_CR113) 2023
S Mirjalili (968_CR71) 2017; 114
MS Daoud (968_CR37) 2023; 20
S Talatahari (968_CR161) 2021; 9
968_CR126
968_CR125
J Zhao (968_CR60) 2024
968_CR69
D Izci (968_CR148) 2024; 12
W Alomoush (968_CR106) 2024; 17
MA Abu-Hashem (968_CR143) 2025; 46
P Sarangi (968_CR103) 2023; 35
CL Camacho-Villalón (968_CR10) 2023; 30
H Jia (968_CR70) 2023; 56
968_CR134
CBJ Schafftar (968_CR118) 2025; 101
K Geetha (968_CR150) 2023; 24
968_CR132
F Anka (968_CR40) 2025
MS Daoud (968_CR45) 2023; 30
RR Mostafa (968_CR109) 2025; 81
D Wang (968_CR30) 2018; 22
M Shehab (968_CR44) 2024
H Zheng (968_CR91) 2025
NM Ashraf (968_CR163) 2021; 16
S Osama (968_CR114) 2023; 167
SA Salimon (968_CR115) 2024; 22
References_xml – volume: 15
  start-page: 102876
  issue: 8
  year: 2024
  ident: 968_CR52
  publication-title: Ain Shams Eng. J.
  doi: 10.1016/j.asej.2024.102876
– ident: 968_CR116
  doi: 10.1109/ACCESS.2025.3543594
– start-page: 231
  volume-title: Metaheuristic Optimization Algorithms
  year: 2024
  ident: 968_CR39
  doi: 10.1016/B978-0-443-13925-3.00017-0
– ident: 968_CR117
  doi: 10.1007/978-981-99-7969-1_2
– volume: 21
  start-page: 815
  issue: 5
  year: 2024
  ident: 968_CR42
  publication-title: Int. Arab J. Inf. Technol.
– volume: 142
  start-page: 2691
  issue: 3
  year: 2025
  ident: 968_CR152
  publication-title: Comput. Model. Eng. Sci.
– volume: 22
  start-page: 100808
  year: 2024
  ident: 968_CR115
  publication-title: Clean. Eng. Technol.
  doi: 10.1016/j.clet.2024.100808
– year: 2025
  ident: 968_CR91
  publication-title: Sustain. Comput. Inform. Syst.
  doi: 10.1016/j.suscom.2025.101098
– volume: 10
  start-page: 130
  issue: 3
  year: 2020
  ident: 968_CR155
  publication-title: IET Wirel. Sens. Syst.
  doi: 10.1049/iet-wss.2019.0153
– volume: 15
  start-page: 1701
  issue: 5
  year: 2024
  ident: 968_CR162
  publication-title: Evol. Syst.
  doi: 10.1007/s12530-024-09585-6
– volume: 225
  start-page: 110200
  year: 2024
  ident: 968_CR149
  publication-title: Appl. Acoust.
  doi: 10.1016/j.apacoust.2024.110200
– volume: 8
  start-page: 386
  issue: 5
  year: 2023
  ident: 968_CR5
  publication-title: Biomimetics
  doi: 10.3390/biomimetics8050386
– ident: 968_CR83
  doi: 10.1109/ICCSN.2010.98
– volume: 73
  start-page: 108864
  year: 2023
  ident: 968_CR93
  publication-title: J. Energy Storage
  doi: 10.1016/j.est.2023.108864
– volume: 14
  start-page: 4877
  issue: 1
  year: 2024
  ident: 968_CR7
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-024-54384-3
– volume: 1
  start-page: 30
  year: 2024
  ident: 968_CR95
  publication-title: Vokasi Unesa Bull. Eng. Technol. Appl. Sci.
  doi: 10.26740/vubeta.v1i1.34073
– ident: 968_CR136
  doi: 10.1109/ICRTCST61793.2024.10578430
– volume: 30
  start-page: 2431
  issue: 4
  year: 2023
  ident: 968_CR45
  publication-title: Arch. Comput. Methods Eng.
  doi: 10.1007/s11831-022-09872-y
– volume: 80
  start-page: 12813
  issue: 9
  year: 2024
  ident: 968_CR99
  publication-title: J. Supercomput.
  doi: 10.1007/s11227-024-05930-3
– volume: 11
  start-page: 129479
  year: 2023
  ident: 968_CR137
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2023.3332666
– volume: 41
  start-page: 100949
  year: 2024
  ident: 968_CR28
  publication-title: Sustain. Comput. Inform. Syst.
– volume: 20
  start-page: 2896
  issue: 6
  year: 2023
  ident: 968_CR37
  publication-title: J. Bionic Eng.
  doi: 10.1007/s42235-023-00394-2
– volume: 452
  start-page: 138955
  year: 2024
  ident: 968_CR58
  publication-title: Constr. Build. Mater.
  doi: 10.1016/j.conbuildmat.2024.138955
– volume: 35
  start-page: 101655
  issue: 8
  year: 2023
  ident: 968_CR89
  publication-title: J. King Saud Univ. Comput. Inf. Sci.
  doi: 10.1016/j.jksuci.2023.101655
– volume: 2025
  start-page: 5054424
  issue: 1
  year: 2025
  ident: 968_CR24
  publication-title: Int. J. Intell. Syst.
  doi: 10.1155/int/5054424
– ident: 968_CR139
  doi: 10.1109/IATMSI60426.2024.10503033
– volume: 12
  start-page: 186
  issue: 2
  year: 2024
  ident: 968_CR3
  publication-title: Mathematics
  doi: 10.3390/math12020186
– volume: 30
  start-page: 765
  issue: 2
  year: 2023
  ident: 968_CR43
  publication-title: Arch. Comput. Methods Eng.
  doi: 10.1007/s11831-022-09817-5
– volume: 11
  start-page: 2340
  issue: 10
  year: 2023
  ident: 968_CR8
  publication-title: Mathematics
  doi: 10.3390/math11102340
– volume: 113
  start-page: 366
  year: 2025
  ident: 968_CR65
  publication-title: Alex. Eng. J.
  doi: 10.1016/j.aej.2024.11.016
– ident: 968_CR75
  doi: 10.1109/ICITDA64560.2024.10809637
– year: 2024
  ident: 968_CR60
  publication-title: Eur. J. Environ. Civ. Eng.
  doi: 10.1080/19648189.2024.2428979
– ident: 968_CR82
  doi: 10.1109/SC2.2017.18
– volume: 282
  start-page: 128317
  year: 2023
  ident: 968_CR66
  publication-title: Energy
  doi: 10.1016/j.energy.2023.128317
– volume: 15
  start-page: 163
  issue: 1
  year: 2025
  ident: 968_CR87
  publication-title: Iran. J. Numer. Anal. Optim.
– volume: 26
  start-page: 11669
  issue: 21
  year: 2022
  ident: 968_CR94
  publication-title: Soft. Comput.
  doi: 10.1007/s00500-022-07470-5
– volume: 10
  start-page: 810
  issue: 7
  year: 2023
  ident: 968_CR112
  publication-title: Int. Res. J. Eng. Technol.
– volume: 11
  start-page: 5508
  issue: 8
  year: 2011
  ident: 968_CR144
  publication-title: Appl. Soft Comput.
  doi: 10.1016/j.asoc.2011.05.008
– volume: 237
  start-page: 121544
  year: 2024
  ident: 968_CR11
  publication-title: Expert Syst. Appl.
  doi: 10.1016/j.eswa.2023.121544
– ident: 968_CR84
  doi: 10.1016/B978-0-443-13925-3.00002-9
– volume: 45
  start-page: 100729
  year: 2024
  ident: 968_CR85
  publication-title: Veh. Commun.
– year: 2024
  ident: 968_CR107
  publication-title: Electr. Eng.
  doi: 10.1007/s00202-024-02871-1
– volume: 101
  start-page: 107136
  year: 2025
  ident: 968_CR118
  publication-title: Biomed. Signal Process. Control
  doi: 10.1016/j.bspc.2024.107136
– ident: 968_CR134
  doi: 10.1109/GEC61857.2024.10881408
– volume: 11
  start-page: 4565
  issue: 22
  year: 2023
  ident: 968_CR130
  publication-title: Mathematics
  doi: 10.3390/math11224565
– volume: 52
  start-page: 101703
  year: 2024
  ident: 968_CR50
  publication-title: J. Hydrol. Reg. Stud.
  doi: 10.1016/j.ejrh.2024.101703
– volume: 58
  start-page: 84
  issue: 3
  year: 2025
  ident: 968_CR22
  publication-title: Artif. Intell. Rev.
  doi: 10.1007/s10462-024-11023-7
– volume: 225
  start-page: 120069
  year: 2023
  ident: 968_CR32
  publication-title: Expert Syst. Appl.
  doi: 10.1016/j.eswa.2023.120069
– ident: 968_CR126
  doi: 10.1109/CERA59325.2023.10455360
– ident: 968_CR146
  doi: 10.1109/ICEE63041.2024.10668359
– volume: 243
  start-page: 108457
  year: 2022
  ident: 968_CR105
  publication-title: Knowl. Based Syst.
  doi: 10.1016/j.knosys.2022.108457
– volume: 404
  start-page: 115764
  year: 2023
  ident: 968_CR17
  publication-title: Comput. Methods Appl. Mech. Eng.
  doi: 10.1016/j.cma.2022.115764
– volume: 30
  start-page: 57683
  issue: 20
  year: 2023
  ident: 968_CR108
  publication-title: Environ. Sci. Pollut. Res.
  doi: 10.1007/s11356-023-26447-x
– volume: 17
  start-page: 2968
  issue: 12
  year: 2024
  ident: 968_CR121
  publication-title: Energies
  doi: 10.3390/en17122968
– year: 2024
  ident: 968_CR67
  publication-title: Transp. Lett.
  doi: 10.1080/19427867.2024.2404358
– volume: 306
  start-page: 132407
  year: 2024
  ident: 968_CR96
  publication-title: Energy
  doi: 10.1016/j.energy.2024.132407
– volume: 17
  start-page: 2865
  issue: 4
  year: 2024
  ident: 968_CR106
  publication-title: Evol. Intell.
  doi: 10.1007/s12065-024-00917-8
– volume: 160
  start-page: 111696
  year: 2024
  ident: 968_CR12
  publication-title: Appl. Soft Comput.
  doi: 10.1016/j.asoc.2024.111696
– volume: 56
  start-page: 3705
  issue: Suppl 3
  year: 2023
  ident: 968_CR19
  publication-title: Artif. Intell. Rev.
  doi: 10.1007/s10462-023-10613-1
– ident: 968_CR110
  doi: 10.1109/ICPEICES62430.2024.10719199
– volume: 42
  start-page: e13826
  issue: 2
  year: 2025
  ident: 968_CR38
  publication-title: Expert. Syst.
  doi: 10.1111/exsy.13826
– volume: 23
  start-page: 715
  year: 2019
  ident: 968_CR104
  publication-title: Soft. Comput.
  doi: 10.1007/s00500-018-3102-4
– volume: 71
  start-page: 75
  issue: 1
  year: 2024
  ident: 968_CR55
  publication-title: J. Eng. Appl. Sci.
  doi: 10.1186/s44147-024-00396-9
– start-page: 267
  volume-title: Metaheuristics in Machine Learning: Theory and Applications
  year: 2021
  ident: 968_CR86
  doi: 10.1007/978-3-030-70542-8_12
– volume: 39
  start-page: 2627
  issue: 4
  year: 2023
  ident: 968_CR35
  publication-title: Eng. Comput.
  doi: 10.1007/s00366-022-01604-x
– volume: 114
  start-page: 163
  year: 2017
  ident: 968_CR71
  publication-title: Adv. Eng. Softw.
  doi: 10.1016/j.advengsoft.2017.07.002
– year: 2025
  ident: 968_CR40
  publication-title: Arch. Comput. Methods Eng.
  doi: 10.1007/s11831-024-10217-0
– volume: 158
  start-page: 111574
  year: 2024
  ident: 968_CR13
  publication-title: Appl. Soft Comput.
  doi: 10.1016/j.asoc.2024.111574
– ident: 968_CR34
  doi: 10.1109/COMITCon.2019.8862255
– volume: 11
  start-page: 168781401986606
  issue: 10
  year: 2019
  ident: 968_CR62
  publication-title: Adv. Mech. Eng.
  doi: 10.1177/1687814019866062
– volume: 283
  start-page: 111218
  year: 2024
  ident: 968_CR165
  publication-title: Knowl. Based Syst.
  doi: 10.1016/j.knosys.2023.111218
– volume: 57
  start-page: 3
  issue: 1
  year: 2015
  ident: 968_CR74
  publication-title: SIAM Rev.
  doi: 10.1137/130915303
– volume: 286
  start-page: 111412
  year: 2024
  ident: 968_CR90
  publication-title: Knowl. Based Syst.
  doi: 10.1016/j.knosys.2024.111412
– year: 2024
  ident: 968_CR151
  publication-title: IEEE Trans. Consum. Electron.
  doi: 10.1109/TCE.2024.3371774
– start-page: 1
  volume-title: Neural Computing and Applications
  year: 2024
  ident: 968_CR44
– volume: 17
  start-page: 609
  issue: 2
  year: 2024
  ident: 968_CR142
  publication-title: Int. J. Intell. Eng. Syst.
– volume: 32
  start-page: 9859
  issue: 14
  year: 2020
  ident: 968_CR46
  publication-title: Neural Comput. Appl.
  doi: 10.1007/s00521-019-04570-6
– ident: 968_CR156
  doi: 10.23919/CCC63176.2024.10661970
– volume: 3
  start-page: 116
  issue: 2
  year: 2023
  ident: 968_CR160
  publication-title: Appl. Comput. Intell.
  doi: 10.3934/aci.2023007
– ident: 968_CR97
– volume: 56
  start-page: 176
  issue: 1
  year: 2023
  ident: 968_CR128
  publication-title: Eng. Proc.
– year: 2024
  ident: 968_CR135
  publication-title: Electr. Eng.
  doi: 10.1007/s00202-024-02441-5
– volume: 4
  start-page: 113
  issue: 1
  year: 2025
  ident: 968_CR63
  publication-title: Al-Salam J. Eng. Technol.
  doi: 10.55145/ajest.2025.04.01.011
– volume: 66
  start-page: 544
  issue: 4
  year: 2024
  ident: 968_CR49
  publication-title: Mater. Test.
  doi: 10.1515/mt-2023-0332
– volume: 88
  start-page: 104014
  year: 2024
  ident: 968_CR53
  publication-title: Opt. Fiber Technol.
  doi: 10.1016/j.yofte.2024.104014
– volume: 46
  start-page: 775
  issue: 2
  year: 2025
  ident: 968_CR143
  publication-title: Optim. Control Appl. Methods
  doi: 10.1002/oca.3230
– volume: 117
  start-page: 105622
  year: 2023
  ident: 968_CR1
  publication-title: Eng. Appl. Artif. Intell.
  doi: 10.1016/j.engappai.2022.105622
– volume: 158
  start-page: 107408
  year: 2021
  ident: 968_CR36
  publication-title: Comput. Ind. Eng.
  doi: 10.1016/j.cie.2021.107408
– volume: 167
  start-page: 107674
  year: 2023
  ident: 968_CR114
  publication-title: Comput. Biol. Med.
  doi: 10.1016/j.compbiomed.2023.107674
– volume: 55
  start-page: 1
  issue: 6
  year: 2025
  ident: 968_CR119
  publication-title: Appl. Intell.
– volume: 178
  start-page: 103423
  year: 2023
  ident: 968_CR47
  publication-title: Adv. Eng. Softw.
  doi: 10.1016/j.advengsoft.2023.103423
– volume: 35
  start-page: 101812
  issue: 10
  year: 2023
  ident: 968_CR103
  publication-title: J. King Saud Univ. Comput. Inf. Sci.
  doi: 10.1016/j.jksuci.2023.101812
– volume: 27
  start-page: 13553
  issue: 18
  year: 2023
  ident: 968_CR14
  publication-title: Soft. Comput.
  doi: 10.1007/s00500-022-07115-7
– volume: 55
  start-page: 101916
  year: 2024
  ident: 968_CR57
  publication-title: Urban Clim.
  doi: 10.1016/j.uclim.2024.101916
– ident: 968_CR138
  doi: 10.1109/icSmartGrid61824.2024.10578139
– volume: 49
  start-page: 100550
  year: 2024
  ident: 968_CR76
  publication-title: Renew. Energy Focus
  doi: 10.1016/j.ref.2024.100550
– year: 2025
  ident: 968_CR25
  publication-title: Knowl. Inf. Syst.
  doi: 10.1007/s10115-025-02422-5
– ident: 968_CR122
  doi: 10.1109/GEC61857.2024.10881615
– volume: 61
  start-page: 102464
  year: 2024
  ident: 968_CR21
  publication-title: Adv. Eng. Inform.
  doi: 10.1016/j.aei.2024.102464
– volume: 18
  start-page: 379
  issue: 2
  year: 2025
  ident: 968_CR88
  publication-title: Energies
  doi: 10.3390/en18020379
– ident: 968_CR132
– volume-title: ACM Transactions on Asian and Low-Resource Language Information Processing
  year: 2023
  ident: 968_CR64
– year: 2025
  ident: 968_CR2
  publication-title: Case Stud. Therm. Eng.
  doi: 10.1016/j.csite.2025.106437
– volume: 56
  start-page: 1919
  issue: Suppl 2
  year: 2023
  ident: 968_CR70
  publication-title: Artif. Intell. Rev.
  doi: 10.1007/s10462-023-10567-4
– ident: 968_CR80
  doi: 10.1109/ICJECE.2024.3351152
– volume: 22
  start-page: 3
  issue: 1
  year: 2015
  ident: 968_CR9
  publication-title: Int. Trans. Oper. Res.
  doi: 10.1111/itor.12001
– volume: 19
  start-page: 234
  issue: 72
  year: 2024
  ident: 968_CR124
  publication-title: J. Al-Azhar Univ. Eng. Sector
  doi: 10.21608/auej.2024.250791.1483
– volume: 22
  start-page: 743
  issue: 4
  year: 2021
  ident: 968_CR6
  publication-title: J. Internet Technol.
  doi: 10.53106/160792642021072204003
– year: 2024
  ident: 968_CR51
  publication-title: Oper. Manag. Res.
  doi: 10.1007/s12063-024-00526-9
– year: 2023
  ident: 968_CR113
  publication-title: Int. J. Electr. Eng. Appl. Sci. (IJEEAS)
  doi: 10.54554/ijeeas.2024.7.01.006
– year: 2025
  ident: 968_CR15
  publication-title: Arch. Comput. Methods Eng.
  doi: 10.1007/s11831-025-10307-7
– volume: 35
  start-page: 4099
  issue: 5
  year: 2023
  ident: 968_CR72
  publication-title: Neural Comput. Appl.
  doi: 10.1007/s00521-022-07854-6
– volume: 7
  start-page: 1
  issue: 1
  year: 1997
  ident: 968_CR73
  publication-title: SIAM J. Optim.
  doi: 10.1137/S1052623493250780
– volume: 106
  start-page: 6019
  issue: 5
  year: 2024
  ident: 968_CR101
  publication-title: Electr. Eng.
  doi: 10.1007/s00202-024-02353-4
– volume: 16
  start-page: e0252754
  issue: 6
  year: 2021
  ident: 968_CR163
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0252754
– volume: 83
  start-page: 80
  year: 2015
  ident: 968_CR140
  publication-title: Adv. Eng. Softw.
  doi: 10.1016/j.advengsoft.2015.01.010
– ident: 968_CR157
  doi: 10.1109/GTSD62346.2024.10675057
– volume: 22
  start-page: 387
  year: 2018
  ident: 968_CR30
  publication-title: Soft. Comput.
  doi: 10.1007/s00500-016-2474-6
– volume: 24
  start-page: 596
  issue: 1
  year: 2023
  ident: 968_CR150
  publication-title: IEEE Sens. J.
  doi: 10.1109/JSEN.2023.3334819
– volume: 37
  start-page: 509
  issue: 1
  year: 2021
  ident: 968_CR48
  publication-title: Eng. Comput.
  doi: 10.1007/s00366-019-00837-7
– year: 2024
  ident: 968_CR92
  publication-title: Heliyon
  doi: 10.1016/j.heliyon.2024.e35887
– ident: 968_CR81
  doi: 10.1109/PhDEDITS64207.2024.10838663
– year: 2024
  ident: 968_CR41
  publication-title: Arch. Comput. Methods Eng.
  doi: 10.1007/s11831-024-10202-7
– volume: 11
  start-page: 4143
  year: 2024
  ident: 968_CR79
  publication-title: Energy Rep.
  doi: 10.1016/j.egyr.2024.03.060
– year: 2024
  ident: 968_CR4
  publication-title: Expert Syst. Appl.
  doi: 10.1016/j.eswa.2024.125055
– volume: 16
  start-page: 35
  issue: 1
  year: 2025
  ident: 968_CR78
  publication-title: Evol. Syst.
  doi: 10.1007/s12530-024-09654-w
– volume: 55
  start-page: 9851
  issue: 7
  year: 2023
  ident: 968_CR20
  publication-title: Neural. Process. Lett.
  doi: 10.1007/s11063-023-11230-3
– volume: 36
  start-page: 6839
  issue: 12
  year: 2024
  ident: 968_CR133
  publication-title: Neural Comput. Appl.
  doi: 10.1007/s00521-024-09433-3
– ident: 968_CR159
  doi: 10.1007/s10586-023-04221-5
– volume: 14
  start-page: 5032
  issue: 1
  year: 2024
  ident: 968_CR158
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-024-54910-3
– volume: 114
  start-page: 105082
  year: 2022
  ident: 968_CR31
  publication-title: Eng. Appl. Artif. Intell.
  doi: 10.1016/j.engappai.2022.105082
– start-page: 19
  volume-title: Recent Advances in Hybrid Metaheuristics for Data Clustering
  year: 2020
  ident: 968_CR54
  doi: 10.1002/9781119551621.ch2
– start-page: 1
  volume-title: Computational Economics
  year: 2025
  ident: 968_CR56
– year: 2024
  ident: 968_CR102
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2024.3474184
– volume: 6
  start-page: 025341
  issue: 2
  year: 2024
  ident: 968_CR111
  publication-title: Eng. Res. Express
  doi: 10.1088/2631-8695/ad4cb7
– volume: 17
  start-page: 110
  issue: 1
  year: 2024
  ident: 968_CR120
  publication-title: Int. J. Comput. Intell. Syst.
  doi: 10.1007/s44196-024-00444-5
– ident: 968_CR147
  doi: 10.1109/ISMSIT63511.2024.10757294
– ident: 968_CR125
  doi: 10.1007/978-3-642-00185-7_1
– volume: 30
  start-page: 2945
  issue: 6
  year: 2023
  ident: 968_CR10
  publication-title: Int. Trans. Oper. Res.
  doi: 10.1111/itor.13176
– volume: 9
  start-page: 859
  issue: 5
  year: 2021
  ident: 968_CR161
  publication-title: Processes
  doi: 10.3390/pr9050859
– ident: 968_CR100
– volume: 164
  start-page: 104209
  year: 2025
  ident: 968_CR23
  publication-title: Comput. Ind.
  doi: 10.1016/j.compind.2024.104209
– volume: 90
  start-page: 104111
  year: 2025
  ident: 968_CR141
  publication-title: Opt. Fiber Technol.
  doi: 10.1016/j.yofte.2024.104111
– ident: 968_CR69
  doi: 10.1109/ICoICI62503.2024.10696036
– volume: 106
  start-page: 6565
  issue: 5
  year: 2024
  ident: 968_CR77
  publication-title: Electr. Eng.
  doi: 10.1007/s00202-024-02375-y
– year: 2024
  ident: 968_CR153
  publication-title: IEEE Sens. J.
  doi: 10.1109/JSEN.2024.3389991
– volume: 81
  start-page: 140
  issue: 1
  year: 2025
  ident: 968_CR109
  publication-title: J. Supercomput.
  doi: 10.1007/s11227-024-06616-6
– volume: 5
  start-page: 405
  issue: 4
  year: 2023
  ident: 968_CR127
  publication-title: IET Energy Syst. Integr.
  doi: 10.1049/esi2.12111
– volume: 8
  start-page: 37
  issue: 1
  year: 2025
  ident: 968_CR131
  publication-title: Smart Cities
  doi: 10.3390/smartcities8010037
– ident: 968_CR145
  doi: 10.5937/IMCSM24014J
– volume: 36
  start-page: 21
  issue: 1
  year: 2025
  ident: 968_CR129
  publication-title: Manag. Environ. Qual.
  doi: 10.1108/MEQ-02-2024-0061
– ident: 968_CR154
  doi: 10.1007/s41870-024-02399-4
– volume: 40
  start-page: 109394
  year: 2024
  ident: 968_CR68
  publication-title: Mater. Today Commun.
  doi: 10.1016/j.mtcomm.2024.109394
– volume: 103
  start-page: 111
  issue: 4
  year: 2025
  ident: 968_CR61
  publication-title: J. Theor. Appl. Inf. Technol.
– volume: 19
  start-page: e0307288
  issue: 7
  year: 2024
  ident: 968_CR98
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0307288
– volume: 17
  start-page: 21389
  issue: 5
  year: 2024
  ident: 968_CR27
  publication-title: Int. J. Intell. Eng. Syst.
– volume: 222
  start-page: 119877
  year: 2023
  ident: 968_CR18
  publication-title: Expert Syst. Appl.
  doi: 10.1016/j.eswa.2023.119877
– volume: 174
  start-page: 103282
  year: 2022
  ident: 968_CR29
  publication-title: Adv. Eng. Softw.
  doi: 10.1016/j.advengsoft.2022.103282
– volume: 164
  start-page: 111946
  year: 2024
  ident: 968_CR16
  publication-title: Appl. Soft Comput.
  doi: 10.1016/j.asoc.2024.111946
– volume: 12
  start-page: 2550
  issue: 7
  year: 2024
  ident: 968_CR148
  publication-title: Int. J. Dyn. Control.
  doi: 10.1007/s40435-023-01381-5
– volume-title: IEEE Consumer Electronics Magazine
  year: 2025
  ident: 968_CR59
– volume: 13
  start-page: 3211
  issue: 20
  year: 2023
  ident: 968_CR164
  publication-title: Diagnostics
  doi: 10.3390/diagnostics13203211
– volume: 54
  start-page: 2669
  issue: 4
  year: 2021
  ident: 968_CR33
  publication-title: Artif. Intell. Rev.
  doi: 10.1007/s10462-020-09911-9
– year: 2025
  ident: 968_CR26
  publication-title: J. Umm Al-Qura Univ. Eng. Arch.
  doi: 10.1007/s43995-025-00160-x
– volume: 13
  start-page: 1632
  issue: 4
  year: 2023
  ident: 968_CR123
  publication-title: Int. J. Renew. Energy Res. (IJRER)
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Snippet The Mountain Gazelle Optimizer (MGO) is a newly emerging nature-inspired metaheuristic algorithm based on mountain gazelles' regionally and adaptively directed...
Abstract The Mountain Gazelle Optimizer (MGO) is a newly emerging nature-inspired metaheuristic algorithm based on mountain gazelles' regionally and adaptively...
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StartPage 247
SubjectTerms Adjustment
Artificial Intelligence
Classification
Complexity
Computational Intelligence
Control
Engineering
Exploitation
Genetic algorithms
Heuristic methods
Hybrid methods
Hybrid methods
Improved performance
Improved performance
Mathematical Logic and Foundations
Mechatronics
Metaheuristic algorithm
Mountain gazelle optimizer
Mountains
Multiple objective analysis
Mutation
Optimization
Optimization algorithms
Real time
Robotics
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Title Advances in Mountain Gazelle Optimizer: A Comprehensive Study on its Classification and Applications
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