An improved FOX optimization algorithm using adaptive exploration and exploitation for global optimization
Optimization algorithms are essential for solving many real-world problems. However, challenges such as getting trapped in local minima and effectively balancing exploration and exploitation often limit their performance. This paper introduces an improved variation of the FOX optimization algorithm...
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| Vydáno v: | PloS one Ročník 20; číslo 9; s. e0331965 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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United States
Public Library of Science
18.09.2025
Public Library of Science (PLoS) |
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| ISSN: | 1932-6203, 1932-6203 |
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| Abstract | Optimization algorithms are essential for solving many real-world problems. However, challenges such as getting trapped in local minima and effectively balancing exploration and exploitation often limit their performance. This paper introduces an improved variation of the FOX optimization algorithm (FOX), termed Improved FOX (IFOX), incorporating a new adaptive method using a dynamically scaled step-size parameter to balance exploration and exploitation based on the current solution’s fitness value. The proposed IFOX also reduces the number of hyperparameters by removing four parameters (C1, C2, a, Mint) and refines the primary equations of FOX. To evaluate its performance, IFOX was tested on 20 classical benchmark functions, 61 benchmark test functions from the congress on evolutionary computation (CEC), and ten real-world problems. The experimental results showed that IFOX achieved a 40% improvement in overall performance metrics over the original FOX. Additionally, it achieved 880 wins, 228 ties, and 348 losses against 16 optimization algorithms across all involved functions and problems. Furthermore, non-parametric statistical tests, including the Friedman and Wilcoxon signed-rank tests, confirmed its competitiveness against recent and state-of-the-art optimization algorithms, such as LSHADE and NRO, with an average rank of 5.92 among 17 algorithms. These findings highlight the significant potential of IFOX for solving diverse optimization problems, establishing it as a competitive and effective optimization algorithm. |
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| AbstractList | Optimization algorithms are essential for solving many real-world problems. However, challenges such as getting trapped in local minima and effectively balancing exploration and exploitation often limit their performance. This paper introduces an improved variation of the FOX optimization algorithm (FOX), termed Improved FOX (IFOX), incorporating a new adaptive method using a dynamically scaled step-size parameter to balance exploration and exploitation based on the current solution's fitness value. The proposed IFOX also reduces the number of hyperparameters by removing four parameters (C1, C2, a, Mint) and refines the primary equations of FOX. To evaluate its performance, IFOX was tested on 20 classical benchmark functions, 61 benchmark test functions from the congress on evolutionary computation (CEC), and ten real-world problems. The experimental results showed that IFOX achieved a 40% improvement in overall performance metrics over the original FOX. Additionally, it achieved 880 wins, 228 ties, and 348 losses against 16 optimization algorithms across all involved functions and problems. Furthermore, non-parametric statistical tests, including the Friedman and Wilcoxon signed-rank tests, confirmed its competitiveness against recent and state-of-the-art optimization algorithms, such as LSHADE and NRO, with an average rank of 5.92 among 17 algorithms. These findings highlight the significant potential of IFOX for solving diverse optimization problems, establishing it as a competitive and effective optimization algorithm.Optimization algorithms are essential for solving many real-world problems. However, challenges such as getting trapped in local minima and effectively balancing exploration and exploitation often limit their performance. This paper introduces an improved variation of the FOX optimization algorithm (FOX), termed Improved FOX (IFOX), incorporating a new adaptive method using a dynamically scaled step-size parameter to balance exploration and exploitation based on the current solution's fitness value. The proposed IFOX also reduces the number of hyperparameters by removing four parameters (C1, C2, a, Mint) and refines the primary equations of FOX. To evaluate its performance, IFOX was tested on 20 classical benchmark functions, 61 benchmark test functions from the congress on evolutionary computation (CEC), and ten real-world problems. The experimental results showed that IFOX achieved a 40% improvement in overall performance metrics over the original FOX. Additionally, it achieved 880 wins, 228 ties, and 348 losses against 16 optimization algorithms across all involved functions and problems. Furthermore, non-parametric statistical tests, including the Friedman and Wilcoxon signed-rank tests, confirmed its competitiveness against recent and state-of-the-art optimization algorithms, such as LSHADE and NRO, with an average rank of 5.92 among 17 algorithms. These findings highlight the significant potential of IFOX for solving diverse optimization problems, establishing it as a competitive and effective optimization algorithm. Optimization algorithms are essential for solving many real-world problems. However, challenges such as getting trapped in local minima and effectively balancing exploration and exploitation often limit their performance. This paper introduces an improved variation of the FOX optimization algorithm (FOX), termed Improved FOX (IFOX), incorporating a new adaptive method using a dynamically scaled step-size parameter to balance exploration and exploitation based on the current solution's fitness value. The proposed IFOX also reduces the number of hyperparameters by removing four parameters (C1, C2, a, Mint) and refines the primary equations of FOX. To evaluate its performance, IFOX was tested on 20 classical benchmark functions, 61 benchmark test functions from the congress on evolutionary computation (CEC), and ten real-world problems. The experimental results showed that IFOX achieved a 40% improvement in overall performance metrics over the original FOX. Additionally, it achieved 880 wins, 228 ties, and 348 losses against 16 optimization algorithms across all involved functions and problems. Furthermore, non-parametric statistical tests, including the Friedman and Wilcoxon signed-rank tests, confirmed its competitiveness against recent and state-of-the-art optimization algorithms, such as LSHADE and NRO, with an average rank of 5.92 among 17 algorithms. These findings highlight the significant potential of IFOX for solving diverse optimization problems, establishing it as a competitive and effective optimization algorithm. |
| Audience | Academic |
| Author | Rashid, Tarik A. Jumaah, Mahmood A. Ali, Yossra H. |
| Author_xml | – sequence: 1 givenname: Mahmood A. orcidid: 0000-0002-6232-3900 surname: Jumaah fullname: Jumaah, Mahmood A. – sequence: 2 givenname: Yossra H. surname: Ali fullname: Ali, Yossra H. – sequence: 3 givenname: Tarik A. surname: Rashid fullname: Rashid, Tarik A. |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/40966273$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.3934/mbe.2022512 10.1016/j.matpr.2023.06.393 10.1016/j.ins.2018.08.030 10.3390/bioengineering10030320 10.1038/d41586-022-01332-8 10.1109/CEC.2019.8790158 10.1002/int.22535 10.1109/ACCESS.2024.3427632 10.1016/j.knosys.2023.111257 10.1016/j.energy.2024.131259 10.1016/j.ejor.2024.03.020 10.1016/j.asoc.2023.110031 10.1007/s00521-015-1920-1 10.1007/s10462-022-10281-7 10.3390/app11073235 10.1038/s41598-024-54910-3 10.1016/j.eswa.2021.116158 10.1109/CEC45853.2021.9504795 10.1016/j.arcontrol.2024.100941 10.1007/s00607-025-01429-8 10.1016/j.engappai.2022.105622 10.1016/j.ins.2022.05.058 10.1016/j.cja.2020.09.020 10.1109/ACCESS.2019.2907012 10.1007/s00521-025-11225-2 10.1016/j.eswa.2020.113377 10.1016/j.knosys.2022.110011 10.70403/3008-1084.1001 10.1109/CEC.2019.8789904 10.1007/s00500-023-09276-5 10.1016/j.engappai.2019.103330 10.1109/JAS.2021.1004129 10.1016/j.swevo.2021.100888 10.1201/9781003337003 10.1016/j.cie.2020.106559 10.1016/j.knosys.2021.107486 10.1504/IJMMNO.2013.055204 10.1080/08839514.2023.2166232 10.1109/CEC55065.2022.9870433 10.1016/S0377-0427(00)00425-8 10.1109/ACCESS.2019.2918406 10.1007/s10489-022-03533-0 10.1016/j.jcde.2019.02.002 10.1016/j.dcan.2022.03.003 10.1162/106365603321828970 10.33103/uot.ijccce.23.2.2 10.1109/MCI.2006.329691 10.1007/s00500-020-04721-1 10.1016/j.engappai.2019.103249 10.1016/j.engappai.2019.103300 10.1016/j.knosys.2020.106131 10.1016/j.future.2020.03.055 10.1016/j.apm.2019.09.029 10.3390/en15062205 10.1051/shsconf/202214001044 10.1016/j.asoc.2023.110908 10.1016/j.eswa.2022.119495 10.33103/uot.ijccce.23.4.5 10.1109/ACCESS.2021.3061288 10.3390/math10030351 10.1007/s10462-023-10542-z 10.1016/j.eswa.2023.121219 10.1016/j.ress.2023.109204 10.1016/j.cie.2021.107250 10.1007/s00521-022-07530-9 10.1016/j.knosys.2021.107625 10.1108/02644401211235834 10.1007/s10462-023-10568-3 10.1007/s11831-022-09859-9 10.1016/j.asej.2024.103185 |
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| DOI | 10.1371/journal.pone.0331965 |
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| References | A Faramarzi (pone.0331965.ref050) 2020; 152 K Zervoudakis (pone.0331965.ref051) 2020; 145 AK Feda (pone.0331965.ref073) 2024; 10 Y Li (pone.0331965.ref035) 2022; 606 L Abualigah (pone.0331965.ref043) 2022; 191 Q Luo (pone.0331965.ref066) 2023; 66 H Mohammed (pone.0331965.ref010) 2022; 53 AP Piotrowski (pone.0331965.ref034) 2018; 468 F Rezaei (pone.0331965.ref021) 2022; 10 A Ghasemi-Marzbali (pone.0331965.ref047) 2020; 24 Y Xiao (pone.0331965.ref065) 2022; 19 MH Amiri (pone.0331965.ref039) 2024; 14 S Han (pone.0331965.ref032) 2022; 140 SA Aula (pone.0331965.ref070) 2025; 16 V Hayyolalam (pone.0331965.ref048) 2020; 87 G Shial (pone.0331965.ref022) 2023; 37 S Mostafa Bozorgi (pone.0331965.ref033) 2019; 6 I Rahimi (pone.0331965.ref001) 2022; 30 E Osaba (pone.0331965.ref056) 2021; 64 (pone.0331965.ref017) 2023 AI Hammouri (pone.0331965.ref028) 2020; 203 U Sadana (pone.0331965.ref054) 2025; 320 L Abualigah (pone.0331965.ref042) 2021; 157 M Garzón (pone.0331965.ref057) 2025; 107 AM Aladdin (pone.0331965.ref041) 2025; 37 H ALRahhal (pone.0331965.ref071) 2023; 56 J Tang (pone.0331965.ref019) 2022; 56 C He (pone.0331965.ref002) 2023; 217 AT Salawudeen (pone.0331965.ref013) 2021; 232 J Tang (pone.0331965.ref015) 2021; 8 S Mirjalili (pone.0331965.ref027) 2015; 27 A Alorf (pone.0331965.ref052) 2023; 117 AE Ezugwu (pone.0331965.ref064) 2022; 34 MH Sulaiman (pone.0331965.ref046) 2020; 87 H Pan (pone.0331965.ref023) 2023; 135 Z Wei (pone.0331965.ref040) 2019; 7 L Pinciroli (pone.0331965.ref004) 2023; 234 (pone.0331965.ref005) 2023 B Toaza (pone.0331965.ref053) 2023; 148 N Hansen (pone.0331965.ref036) 2003; 11 H Choi (pone.0331965.ref012) 2021; 11 Y Hussain Ali (pone.0331965.ref075) 2023; 10 W Kaidi (pone.0331965.ref076) 2022; 235 M Jamil (pone.0331965.ref058) 2013; 4 J Zhu (pone.0331965.ref003) 2021; 34 T Qiuyun (pone.0331965.ref031) 2021; 9 P Sharma (pone.0331965.ref059) 2023; 28 R Sauerheber (pone.0331965.ref074) 2024 X Yang (pone.0331965.ref029) 2012; 29 MA Jumaah (pone.0331965.ref069) 2024; 1 J Liu (pone.0331965.ref078) 2022; 15 M Dorigo (pone.0331965.ref055) 2006; 1 X Li (pone.0331965.ref025) 2024; 296 A Vagaská (pone.0331965.ref014) 2022; 15 A Hauswirth (pone.0331965.ref008) 2024; 57 M Abdel-Basset (pone.0331965.ref037) 2024; 284 pone.0331965.ref062 pone.0331965.ref063 pone.0331965.ref068 E-J Wagenmakers (pone.0331965.ref079) 2022; 605 pone.0331965.ref067 K Sadatdiynov (pone.0331965.ref006) 2023; 9 PM Pardalos (pone.0331965.ref016) 2000; 124 pone.0331965.ref060 pone.0331965.ref061 HK AbdulKarim (pone.0331965.ref020) 2024; 12 L Schönenberger (pone.0331965.ref011) 2023; 2023 H Yu (pone.0331965.ref030) 2020; 77 W Zhao (pone.0331965.ref049) 2020; 87 JM Abdullah (pone.0331965.ref077) 2019; 7 F Zhu (pone.0331965.ref009) 2024; 236 E Osaba (pone.0331965.ref007) 2021; 64 Z-M Gao (pone.0331965.ref024) 2019; 2019 H ALRahhal (pone.0331965.ref072) 2023; 56 pone.0331965.ref026 B Abdollahzadeh (pone.0331965.ref044) 2021; 36 S Li (pone.0331965.ref045) 2020; 111 J Tang (pone.0331965.ref018) 2021; 8 M Dehghani (pone.0331965.ref038) 2023; 259 |
| References_xml | – volume: 19 start-page: 10963 issue: 11 year: 2022 ident: pone.0331965.ref065 article-title: IHAOAVOA: an improved hybrid aquila optimizer and African vultures optimization algorithm for global optimization problems publication-title: Math Biosci Eng. doi: 10.3934/mbe.2022512 – ident: pone.0331965.ref068 doi: 10.1016/j.matpr.2023.06.393 – volume: 468 start-page: 117 year: 2018 ident: pone.0331965.ref034 article-title: L-SHADE optimization algorithms with population-wide inertia publication-title: Information Sciences. doi: 10.1016/j.ins.2018.08.030 – volume: 10 start-page: 320 issue: 3 year: 2023 ident: pone.0331965.ref075 article-title: Optimization system based on convolutional neural network and internet of medical things for early diagnosis of lung cancer publication-title: Bioengineering (Basel). doi: 10.3390/bioengineering10030320 – volume: 605 start-page: 423 issue: 7910 year: 2022 ident: pone.0331965.ref079 article-title: One statistical analysis must not rule them all publication-title: Nature. doi: 10.1038/d41586-022-01332-8 – ident: pone.0331965.ref060 doi: 10.1109/CEC.2019.8790158 – volume: 36 start-page: 5887 issue: 10 year: 2021 ident: pone.0331965.ref044 article-title: Artificial gorilla troops optimizer: a new nature-inspired metaheuristic algorithm for global optimization problems publication-title: Int J Intell Syst. doi: 10.1002/int.22535 – volume: 12 start-page: 98407 year: 2024 ident: pone.0331965.ref020 article-title: In search of excellence: SHOA as a competitive shrike optimization algorithm for multimodal problems publication-title: IEEE Access. doi: 10.1109/ACCESS.2024.3427632 – volume: 2023 start-page: 848 year: 2023 ident: pone.0331965.ref011 article-title: On a population sizing model for evolution strategies optimizing the highly multimodal rastrigin function publication-title: Genet Evol Comput Conf. – volume: 284 start-page: 111257 year: 2024 ident: pone.0331965.ref037 article-title: Crested porcupine optimizer: a new nature-inspired metaheuristic publication-title: Knowledge-Based Systems. doi: 10.1016/j.knosys.2023.111257 – volume: 15 issue: 1 year: 2022 ident: pone.0331965.ref078 article-title: T-Friedman test: a new statistical test for multiple comparison with an adjustable conservativeness measure publication-title: Int J Comput Intell Syst. – volume: 2019 start-page: 2981282 year: 2019 ident: pone.0331965.ref024 article-title: An improved grey wolf optimization algorithm with variable weights publication-title: Comput Intell Neurosci. – volume: 296 start-page: 131259 year: 2024 ident: pone.0331965.ref025 article-title: An advanced framework for net electricity consumption prediction: incorporating novel machine learning models and optimization algorithms publication-title: Energy. doi: 10.1016/j.energy.2024.131259 – volume: 320 start-page: 271 issue: 2 year: 2025 ident: pone.0331965.ref054 article-title: A survey of contextual optimization methods for decision-making under uncertainty publication-title: European Journal of Operational Research. doi: 10.1016/j.ejor.2024.03.020 – volume: 135 start-page: 110031 year: 2023 ident: pone.0331965.ref023 article-title: A high-dimensional feature selection method based on modified Gray Wolf Optimization publication-title: Applied Soft Computing. doi: 10.1016/j.asoc.2023.110031 – volume: 27 start-page: 1053 issue: 4 year: 2015 ident: pone.0331965.ref027 article-title: Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems publication-title: Neural Comput & Applic. doi: 10.1007/s00521-015-1920-1 – volume: 56 start-page: 4295 issue: 5 year: 2022 ident: pone.0331965.ref019 article-title: Swarm intelligence algorithms for multiple unmanned aerial vehicles collaboration: a comprehensive review publication-title: Artif Intell Rev. doi: 10.1007/s10462-022-10281-7 – volume: 11 start-page: 3235 issue: 7 year: 2021 ident: pone.0331965.ref012 article-title: A survey of machine learning-based system performance optimization techniques publication-title: Applied Sciences. doi: 10.3390/app11073235 – volume: 14 start-page: 5032 issue: 1 year: 2024 ident: pone.0331965.ref039 article-title: Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm publication-title: Sci Rep. doi: 10.1038/s41598-024-54910-3 – volume: 191 start-page: 116158 year: 2022 ident: pone.0331965.ref043 article-title: Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer publication-title: Expert Systems with Applications. doi: 10.1016/j.eswa.2021.116158 – ident: pone.0331965.ref062 doi: 10.1109/CEC45853.2021.9504795 – volume: 57 start-page: 100941 year: 2024 ident: pone.0331965.ref008 article-title: Optimization algorithms as robust feedback controllers publication-title: Annual Reviews in Control. doi: 10.1016/j.arcontrol.2024.100941 – volume: 107 issue: 3 year: 2025 ident: pone.0331965.ref057 article-title: From collective intelligence to global optimisation: an agent-based model approach publication-title: Computing. doi: 10.1007/s00607-025-01429-8 – volume: 117 start-page: 105622 year: 2023 ident: pone.0331965.ref052 article-title: A survey of recently developed metaheuristics and their comparative analysis publication-title: Engineering Applications of Artificial Intelligence. doi: 10.1016/j.engappai.2022.105622 – volume: 606 start-page: 350 year: 2022 ident: pone.0331965.ref035 article-title: A novel adaptive L-SHADE algorithm and its application in UAV swarm resource configuration problem publication-title: Information Sciences. doi: 10.1016/j.ins.2022.05.058 – volume: 34 start-page: 91 issue: 1 year: 2021 ident: pone.0331965.ref003 article-title: A review of topology optimization for additive manufacturing: Status and challenges publication-title: Chinese Journal of Aeronautics. doi: 10.1016/j.cja.2020.09.020 – volume: 7 start-page: 43473 year: 2019 ident: pone.0331965.ref077 article-title: Fitness dependent optimizer: inspired by the bee swarming reproductive process publication-title: IEEE Access. doi: 10.1109/ACCESS.2019.2907012 – volume: 37 start-page: 14365 issue: 19 year: 2025 ident: pone.0331965.ref041 article-title: LEO: lagrange elementary optimization publication-title: Neural Comput & Applic. doi: 10.1007/s00521-025-11225-2 – volume: 152 start-page: 113377 year: 2020 ident: pone.0331965.ref050 article-title: Marine predators algorithm: a nature-inspired metaheuristic publication-title: Expert Systems with Applications. doi: 10.1016/j.eswa.2020.113377 – volume: 259 start-page: 110011 year: 2023 ident: pone.0331965.ref038 article-title: Coati optimization algorithm: a new bio-inspired metaheuristic algorithm for solving optimization problems publication-title: Knowledge-Based Systems. doi: 10.1016/j.knosys.2022.110011 – volume: 1 issue: 1 year: 2024 ident: pone.0331965.ref069 article-title: FOXANN: a method for boosting neural network performance publication-title: Journal of Soft Computing and Computer Applications. doi: 10.70403/3008-1084.1001 – ident: pone.0331965.ref061 doi: 10.1109/CEC.2019.8789904 – volume: 28 start-page: 3123 issue: 4 year: 2023 ident: pone.0331965.ref059 article-title: Metaheuristic optimization algorithms: a comprehensive overview and classification of benchmark test functions publication-title: Soft Comput. doi: 10.1007/s00500-023-09276-5 – volume: 87 start-page: 103330 year: 2020 ident: pone.0331965.ref046 article-title: Barnacles mating optimizer: a new bio-inspired algorithm for solving engineering optimization problems publication-title: Engineering Applications of Artificial Intelligence. doi: 10.1016/j.engappai.2019.103330 – volume: 8 start-page: 1627 issue: 10 year: 2021 ident: pone.0331965.ref015 article-title: A review on representative swarm intelligence algorithms for solving optimization problems: applications and trends publication-title: IEEE/CAA J Autom Sinica. doi: 10.1109/JAS.2021.1004129 – volume: 64 start-page: 100888 year: 2021 ident: pone.0331965.ref056 article-title: A tutorial on the design, experimentation and application of metaheuristic algorithms to real-world optimization problems publication-title: Swarm and Evolutionary Computation. doi: 10.1016/j.swevo.2021.100888 – ident: pone.0331965.ref026 doi: 10.1201/9781003337003 – volume: 145 start-page: 106559 year: 2020 ident: pone.0331965.ref051 article-title: A mayfly optimization algorithm publication-title: Computers & Industrial Engineering. doi: 10.1016/j.cie.2020.106559 – volume: 232 start-page: 107486 year: 2021 ident: pone.0331965.ref013 article-title: A Novel Smell Agent Optimization (SAO): An extensive CEC study and engineering application publication-title: Knowledge-Based Systems. doi: 10.1016/j.knosys.2021.107486 – volume: 4 start-page: 150 issue: 2 year: 2013 ident: pone.0331965.ref058 article-title: A literature survey of benchmark functions for global optimisation problems publication-title: IJMMNO. doi: 10.1504/IJMMNO.2013.055204 – volume: 37 issue: 1 year: 2023 ident: pone.0331965.ref022 article-title: An enhanced GWO algorithm with improved explorative search capability for global optimization and data clustering publication-title: Applied Artificial Intelligence. doi: 10.1080/08839514.2023.2166232 – ident: pone.0331965.ref063 doi: 10.1109/CEC55065.2022.9870433 – volume: 64 start-page: 100888 year: 2021 ident: pone.0331965.ref007 article-title: A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems publication-title: Swarm and Evolutionary Computation. doi: 10.1016/j.swevo.2021.100888 – ident: pone.0331965.ref067 doi: 10.1016/j.matpr.2023.06.393 – volume: 124 start-page: 209 year: 2000 ident: pone.0331965.ref016 article-title: Recent developments and trends in global optimization publication-title: Journal of Computational and Applied Mathematics. doi: 10.1016/S0377-0427(00)00425-8 – volume: 7 start-page: 66084 year: 2019 ident: pone.0331965.ref040 article-title: Nuclear reaction optimization: a novel and powerful physics-based algorithm for global optimization publication-title: IEEE Access. doi: 10.1109/ACCESS.2019.2918406 – volume: 53 start-page: 1030 issue: 1 year: 2022 ident: pone.0331965.ref010 article-title: FOX: a FOX-inspired optimization algorithm publication-title: Appl Intell. doi: 10.1007/s10489-022-03533-0 – volume: 6 start-page: 243 issue: 3 year: 2019 ident: pone.0331965.ref033 article-title: IWOA: An improved whale optimization algorithm for optimization problems publication-title: Journal of Computational Design and Engineering. doi: 10.1016/j.jcde.2019.02.002 – volume: 9 start-page: 450 issue: 2 year: 2023 ident: pone.0331965.ref006 article-title: A review of optimization methods for computation offloading in edge computing networks publication-title: Digital Communications and Networks. doi: 10.1016/j.dcan.2022.03.003 – volume: 11 start-page: 1 issue: 1 year: 2003 ident: pone.0331965.ref036 article-title: Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES) publication-title: Evol Comput. doi: 10.1162/106365603321828970 – start-page: 13 year: 2023 ident: pone.0331965.ref005 article-title: Analytical Study for Optimization Techniques to Prolong WSNs Life publication-title: IJCCCE. doi: 10.33103/uot.ijccce.23.2.2 – volume: 1 start-page: 28 issue: 4 year: 2006 ident: pone.0331965.ref055 article-title: Ant colony optimization publication-title: IEEE Comput Intell Mag. doi: 10.1109/MCI.2006.329691 – volume: 24 start-page: 13003 issue: 17 year: 2020 ident: pone.0331965.ref047 article-title: A novel nature-inspired meta-heuristic algorithm for optimization: bear smell search algorithm publication-title: Soft Comput. doi: 10.1007/s00500-020-04721-1 – volume: 87 start-page: 103249 year: 2020 ident: pone.0331965.ref048 article-title: Black widow optimization algorithm: a novel meta-heuristic approach for solving engineering optimization problems publication-title: Engineering Applications of Artificial Intelligence. doi: 10.1016/j.engappai.2019.103249 – volume: 87 start-page: 103300 year: 2020 ident: pone.0331965.ref049 article-title: Manta ray foraging optimization: an effective bio-inspired optimizer for engineering applications publication-title: Engineering Applications of Artificial Intelligence. doi: 10.1016/j.engappai.2019.103300 – volume: 203 start-page: 106131 year: 2020 ident: pone.0331965.ref028 article-title: An improved Dragonfly Algorithm for feature selection publication-title: Knowledge-Based Systems. doi: 10.1016/j.knosys.2020.106131 – volume: 111 start-page: 300 year: 2020 ident: pone.0331965.ref045 article-title: Slime mould algorithm: a new method for stochastic optimization publication-title: Future Generation Computer Systems. doi: 10.1016/j.future.2020.03.055 – volume: 77 start-page: 1201 year: 2020 ident: pone.0331965.ref030 article-title: Chaos-enhanced synchronized bat optimizer publication-title: Applied Mathematical Modelling. doi: 10.1016/j.apm.2019.09.029 – volume: 15 start-page: 2205 issue: 6 year: 2022 ident: pone.0331965.ref014 article-title: Selected mathematical optimization methods for solving problems of engineering practice publication-title: Energies. doi: 10.3390/en15062205 – volume: 10 issue: 2 year: 2024 ident: pone.0331965.ref073 article-title: S-shaped grey wolf optimizer-based FOX algorithm for feature selection publication-title: Heliyon. – volume: 140 start-page: 01044 year: 2022 ident: pone.0331965.ref032 article-title: An improved adaptive genetic algorithm publication-title: SHS Web Conf. doi: 10.1051/shsconf/202214001044 – volume: 148 start-page: 110908 year: 2023 ident: pone.0331965.ref053 article-title: A review of metaheuristic algorithms for solving TSP-based scheduling optimization problems publication-title: Applied Soft Computing. doi: 10.1016/j.asoc.2023.110908 – year: 2024 ident: pone.0331965.ref074 article-title: Light and sound speed mechanisms, relative velocities, simultaneity, and special relativity publication-title: SSRN Journal. – volume: 217 start-page: 119495 year: 2023 ident: pone.0331965.ref002 article-title: A review of surrogate-assisted evolutionary algorithms for expensive optimization problems publication-title: Expert Systems with Applications. doi: 10.1016/j.eswa.2022.119495 – start-page: 46 year: 2023 ident: pone.0331965.ref017 article-title: Analytical and Comparative Study for Optimization Problems publication-title: IJCCCE. doi: 10.33103/uot.ijccce.23.4.5 – volume: 9 start-page: 33522 year: 2021 ident: pone.0331965.ref031 article-title: Improved particle swarm optimization algorithm for AGV path planning publication-title: IEEE Access. doi: 10.1109/ACCESS.2021.3061288 – volume: 10 start-page: 351 issue: 3 year: 2022 ident: pone.0331965.ref021 article-title: An enhanced grey wolf optimizer with a velocity-aided global search mechanism publication-title: Mathematics. doi: 10.3390/math10030351 – volume: 56 start-page: 15523 issue: 12 year: 2023 ident: pone.0331965.ref071 article-title: AFOX: a new adaptive nature-inspired optimization algorithm publication-title: Artif Intell Rev. doi: 10.1007/s10462-023-10542-z – volume: 236 start-page: 121219 year: 2024 ident: pone.0331965.ref009 article-title: Dung beetle optimization algorithm based on quantum computing and multi-strategy fusion for solving engineering problems publication-title: Expert Systems with Applications. doi: 10.1016/j.eswa.2023.121219 – volume: 234 start-page: 109204 year: 2023 ident: pone.0331965.ref004 article-title: Maintenance optimization in industry 4.0 publication-title: Reliability Engineering & System Safety. doi: 10.1016/j.ress.2023.109204 – volume: 157 start-page: 107250 year: 2021 ident: pone.0331965.ref042 article-title: Aquila optimizer: a novel meta-heuristic optimization algorithm publication-title: Computers & Industrial Engineering. doi: 10.1016/j.cie.2021.107250 – volume: 8 start-page: 1627 issue: 10 year: 2021 ident: pone.0331965.ref018 article-title: A review on representative swarm intelligence algorithms for solving optimization problems: applications and trends publication-title: IEEE/CAA J Autom Sinica. doi: 10.1109/JAS.2021.1004129 – volume: 34 start-page: 20017 issue: 22 year: 2022 ident: pone.0331965.ref064 article-title: Prairie dog optimization algorithm publication-title: Neural Comput & Applic. doi: 10.1007/s00521-022-07530-9 – volume: 66 issue: 5 year: 2023 ident: pone.0331965.ref066 article-title: Multi-objective equilibrium optimizer slime mould algorithm and its application in solving engineering problems publication-title: Struct Multidisc Optim. – volume: 235 start-page: 107625 year: 2022 ident: pone.0331965.ref076 article-title: Dynamic levy flight chimp optimization publication-title: Knowledge-Based Systems. doi: 10.1016/j.knosys.2021.107625 – volume: 29 start-page: 464 issue: 5 year: 2012 ident: pone.0331965.ref029 article-title: Bat algorithm: a novel approach for global engineering optimization publication-title: Engineering Computations. doi: 10.1108/02644401211235834 – volume: 56 start-page: 1981 year: 2023 ident: pone.0331965.ref072 article-title: RNN-AFOX: adaptive FOX-inspired-based technique for automated tuning of recurrent neural network hyper-parameters publication-title: Artif Intell Rev. doi: 10.1007/s10462-023-10568-3 – volume: 30 start-page: 2181 issue: 3 year: 2022 ident: pone.0331965.ref001 article-title: A Review on Constraint Handling Techniques for Population-based Algorithms: from single-objective to multi-objective optimization publication-title: Arch Computat Methods Eng. doi: 10.1007/s11831-022-09859-9 – volume: 16 start-page: 103185 issue: 1 year: 2025 ident: pone.0331965.ref070 article-title: FOX-TSA: navigating complex search spaces and superior performance in benchmark and real-world optimization problems publication-title: Ain Shams Engineering 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| SubjectTerms | Adaptive algorithms Algorithms Analysis Benchmarks Birds Competitiveness Computer science Design engineering Evolution Evolutionary computation Exploitation Feature selection Foraging behavior Genetic algorithms Global optimization Literature reviews Mathematical optimization Models, Theoretical Optimization algorithms Parameters Performance evaluation Performance measurement Problem solving Rank tests Statistical analysis Statistical tests |
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| Title | An improved FOX optimization algorithm using adaptive exploration and exploitation for global optimization |
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