Výsledky vyhľadávania - "population-based algorithm"

Recent applications and advances of African Vultures Optimization Algorithm

Autori: Hussien, Abdelazim Gharehchopogh, Farhad Soleimanian Bouaouda, Anas a ďalší

Zdroj: Artificial Intelligence Review. 57(12)

Predmety: Swarm Intelligence, Variants, Engineering problems, Metaheuristic, Population-based algorithm

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-208887
https://liu.diva-portal.org/smash/get/diva2:1908728/FULLTEXT01.pdf

Extension of CMSA with a Learning Mechanism: Application to the Far from Most String Problem

Autori: Pedro Pinacho-Davidson Christian Blum M. Angélica Pinninghoff a ďalší

Zdroj: International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-16 (2024)

Predmety: Hybrid metaheuristics, Population-based algorithm, Optimization, String consensus problems, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1875-6883

Prístupová URL adresa: https://doaj.org/article/75683e72ae0440c6a970b766af02e38d

An energy-aware scheme for solving the routing problem in the internet of things based on jaya and flower pollination algorithms

Autori: Sadrishojaei, M. Navimipour, N.J. Reshadi, M. a ďalší

Zdroj: Journal of Ambient Intelligence and Humanized Computing. 14:11363-11372

Predmety: Internet of things, Routing problems, Clustering algorithms, Jaya algorithm, Routing algorithms, 02 engineering and technology, Population-based algorithm, Clustering, Network throughput, Routing protocols, 0202 electrical engineering, electronic engineering, information engineering, Flower pollination optimization, Lifespans, Clusterings, Optimisations, Network lifespan, Power management (telecommunication), Clustering protocol

Popis súboru: application/pdf

Prístupová URL adresa: https://hdl.handle.net/20.500.12469/4842

Comparison of algorithms for multi-objective optimization of radio technical device characteristics

Autori: A. V. Smirnov

Zdroj: Российский технологический журнал, Vol 10, Iss 6, Pp 42-51 (2022)

Predmety: pareto front, population-based algorithm, quality index, Information theory, multi-objective optimization, pareto optimality, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Q350-390, scalarizing objective function

Prístupová URL adresa: https://doaj.org/article/a060aa79f6904b4786ff5425f503bcc8

Hierarchical Approaches to Solve Optimization Problems

Autori: Ferda Nur ARICI Ersin KAYA

Zdroj: Volume: 10, Issue: 3 124-139
Academic Platform Journal of Engineering and Smart Systems

Predmety: Yapay Zeka, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Population-based Algorithm, Optimization, CEC'17, Hierarchical Approaches

Popis súboru: application/pdf

Prístupová URL adresa: https://dergipark.org.tr/tr/pub/apjess/issue/72618/1065912

An ant system with direct communication for the capacitated vehicle routing problem

Autori: Mavrovouniotis, Michalis Yang, Shengxiang

Predmety: Capacitated vehicle routing problem, Artificial intelligence, Computer and Information Sciences, Local optimum solution, Communication range, Population-based algorithm, Ant Colony Optimization algorithms, Vehicle routing, Direct communications, Ant colony optimization, Indirect communication, Vehicle to vehicle communications, Natural Sciences, Optimization problems

Prístupová URL adresa: https://api.elsevier.com/content/abstract/scopus_id/84880411000
https://hdl.handle.net/20.500.14279/30871

A comprehensive survey of sine cosine algorithm: variants and applications

Autori: Benmessaoud Gabis, Asma Meraihi, Yassine Mirjalili, Seyedali a ďalší

Prispievatelia: Benmessaoud Gabis, Asma Meraihi, Yassine Mirjalili, Seyedali a ďalší

Zdroj: Artif Intell Rev

Predmety: Optimization, Artificial intelligence, Science & Technology, Meta-heuristics, 02 engineering and technology, [INFO] Computer Science [cs], Article, Computer Science, Information and computing sciences, 0202 electrical engineering, electronic engineering, information engineering, Psychology, [INFO]Computer Science [cs], Population-based Algorithm, Sine Cosine Algorithm, Cognitive and computational psychology

Prístupová URL adresa: https://link.springer.com/content/pdf/10.1007/s10462-021-10026-y.pdf
https://pubmed.ncbi.nlm.nih.gov/34092884
https://hal.science/hal-04376815v1
https://doi.org/10.1007/s10462-021-10026-y
https://hal.science/hal-03434982v1
https://doi.org/10.1007/s10462-021-10026-y
https://europepmc.org/article/MED/34092884
https://link.springer.com/content/pdf/10.1007/s10462-021-10026-y.pdf
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8171367
https://hal.archives-ouvertes.fr/hal-03434982
https://dblp.uni-trier.de/db/journals/air/air54.html#GabisMMR21
https://research-repository.griffith.edu.au/handle/10072/405238

Grasshopper Optimization Algorithm: Theory, Variants, and Applications

Autori: Yassine Meraihi Asma Benmessaoud Gabis Seyedali Mirjalili a ďalší

Prispievatelia: Yassine Meraihi Asma Benmessaoud Gabis Seyedali Mirjalili a ďalší

Zdroj: IEEE Access, Vol 9, Pp 50001-50024 (2021)

Predmety: population-based algorithm, Artificial intelligence, Grasshopper, Electricity Price and Load Forecasting Methods, Swarm intelligence, 0211 other engineering and technologies, Energy Engineering and Power Technology, 02 engineering and technology, Engineering, GOA, Artificial Intelligence, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, [INFO]Computer Science [cs], Swarm Intelligence Optimization Algorithms, Electrical and Electronic Engineering, Biology, Energy, Global Optimization, Ecology, swarm intelligence, Particle swarm optimization, Optimization Applications, Mathematical optimization, Load Forecasting, Computer science, TK1-9971, Algorithm, Optimization algorithm, meta-heuristics, Particle Swarm Optimization, FOS: Biological sciences, Electrical engineering, Computer Science, Physical Sciences, Nature-Inspired Algorithms, Feature selection, Information and computing sciences, Grasshopper optimization algorithm, Electrical engineering. Electronics. Nuclear engineering, Energy Storage in Power Systems, Wind power, optimization, Mathematics

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/9312710/09381863.pdf
https://doaj.org/article/3750d162cc9f4d3f8b9599c28cc27303

Adaptation of Population Size in Sine Cosine Algorithm

Autori: Hala R. Al-Faisal Imtiaz Ahmad Ayed A. Salman a ďalší

Zdroj: IEEE Access, Vol 9, Pp 25258-25277 (2021)

Predmety: sine cosine algorithm (SCA), 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Metaheuristic, population size manipulation, population based algorithm, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, optimization, TK1-9971

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/9312710/09344590.pdf
https://doaj.org/article/68f03ecd5d09475ba657125e19bc35d2
https://ieeexplore.ieee.org/document/9344590
https://dblp.uni-trier.de/db/journals/access/access9.html#Al-FaisalASA21

Population-Based Algorithm for Solving the Traveling Salesman Problem

Autori: Elena Polupanova Aleksey Polyakov

Zdroj: Современные информационные технологии и IT-образование, Vol 17, Iss 2, Pp 324-333 (2021)

Predmety: population-based algorithm, hybrid algorithm, genetic algorithm, heuristic algorithm, evolutionary algorithm, swarm particle algorithm, traveling salesman problem, nearest neighbor algorithm, ant colony algorithm, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: http://sitito.cs.msu.ru/index.php/SITITO/article/view/744; https://doaj.org/toc/2411-1473

Prístupová URL adresa: https://doaj.org/article/f6f978a9b5d042c08310507527db6934

A New Approach to Detecting and Preventing Populations Stagnation Through Dynamic Changes in Multi-Population-Based Algorithms

Autori: Lapa K. Rutkowska D. Byrski A. a ďalší

Prispievatelia: Lapa K. Rutkowska D. Byrski A. a ďalší

Predmety: migration topologie, multi-population-based algorithm, population stagnation

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:001094732400005; volume:13; issue:4; firstpage:289; lastpage:306; numberofpages:18; journal:JOURNAL OF ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING RESEARCH; https://hdl.handle.net/11573/1692302

Dostupnosť: https://hdl.handle.net/11573/1692302
https://doi.org/10.2478/jaiscr-2023-0020

Aircraft Optimal Control for Longitudinal Maneuvers Using Population-Based Algorithm

Autori: Oleg Korsun Alexandr Poliyev Alexandr Stulovskii

Zdroj: Engineering Proceedings, Vol 33, Iss 1, p 53 (2023)

Predmety: optimal control, direct optimization, population-based algorithm, aircraft, Engineering machinery, tools, and implements, TA213-215

Relation: https://www.mdpi.com/2673-4591/33/1/53; https://doaj.org/toc/2673-4591; https://doaj.org/article/66cb6f27d299414cbce4e073fbe056e7

Dostupnosť: https://doi.org/10.3390/engproc2023033053
https://doaj.org/article/66cb6f27d299414cbce4e073fbe056e7

Multi-Scale Quantum Harmonic Oscillator Algorithm With Truncated Mean Stabilization Strategy for Global Numerical Optimization Problems

Autori: Xinggui Ye Peng Wang Gang Xin a ďalší

Zdroj: IEEE Access, Vol 7, Pp 18926-18939 (2019)

Predmety: population-based algorithm, Multi-scale quantum harmonic oscillator algorithm, swarm intelligence, truncated mean stabilization strategy, 0202 electrical engineering, electronic engineering, information engineering, stochastic algorithm, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, TK1-9971

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08618400.pdf
https://doaj.org/article/501440849e27432a832e0f05fe0493a0
https://dblp.uni-trier.de/db/journals/access/access7.html#YeWXJH19
https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=201902271837661864

Algorithm Based on Population With a Flexible Search Mechanism

Autori: Krystian Lapa Krzysztof Cpalka Marcin Zalasinski

Zdroj: IEEE Access, Vol 7, Pp 132253-132270 (2019)

Predmety: population-based algorithm, particle swarm optimization, selection of operators, 0202 electrical engineering, electronic engineering, information engineering, selection of the search mechanism, Evolutionary computation, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, genetic algorithms, TK1-9971

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08835032.pdf
https://doaj.org/article/82d08f2f78a54f09ad4f230b19da8266
https://dblp.uni-trier.de/db/journals/access/access7.html#LapaCZ19
https://ieeexplore.ieee.org/document/8835032
https://doi.org/10.1109/ACCESS.2019.2941182

Multi-Scale Quantum Harmonic Oscillator Algorithm With Centroid Motion for Global Numerical Optimization Problems

Autori: Xinggui Ye Peng Wang

Zdroj: IEEE Access, Vol 7, Pp 90055-90068 (2019)

Predmety: population-based algorithm, Multi-scale quantum harmonic oscillator algorithm, global optimization, 0202 electrical engineering, electronic engineering, information engineering, heuristic algorithm, centroid motion, Electrical engineering. Electronics. Nuclear engineering, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences, TK1-9971

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08756068.pdf
https://doaj.org/article/1b00ee094cd34ea5b5cef627b7b62f7c
https://ieeexplore.ieee.org/document/8756068/
https://dblp.uni-trier.de/db/journals/access/access7.html#YeW19
https://doi.org/10.1109/ACCESS.2019.2927044
https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=201902216138625527

A comprehensive survey of sine cosine algorithm: variants and applications

Autori: Seyedali Mirjalili

Predmety: Intelligent robotics, Meta-heuristics, optimization, Population-based Algorithm, Sine Cosine Algorithm

Relation: https://figshare.com/articles/journal_contribution/A_comprehensive_survey_of_sine_cosine_algorithm_variants_and_applications/21728696

Dostupnosť: https://doi.org/10.25905/21728696.v1

Selecting Some Variables to Update-Based Algorithm for Solving Optimization Problems

Autori: Mohammad Dehghani Pavel Trojovský

Zdroj: Sensors, Vol 22, Iss 1795, p 1795 (2022)

Predmety: stochastic methods, optimization, selected variables, optimization problem, population-based algorithm, population updating, Chemical technology, TP1-1185

Relation: https://www.mdpi.com/1424-8220/22/5/1795; https://doaj.org/toc/1424-8220; https://doaj.org/article/78c1e936405a484dae70f6de11b54d45

Dostupnosť: https://doi.org/10.3390/s22051795
https://doaj.org/article/78c1e936405a484dae70f6de11b54d45

Pelican Optimization Algorithm: A Novel Nature-Inspired Algorithm for Engineering Applications

Autori: Pavel Trojovský Mohammad Dehghani

Zdroj: Sensors, Vol 22, Iss 855, p 855 (2022)

Predmety: optimization, nature inspired, swarm intelligence, optimization problem, pelican, population-based algorithm, Chemical technology, TP1-1185

Relation: https://www.mdpi.com/1424-8220/22/3/855; https://doaj.org/toc/1424-8220; https://doaj.org/article/0e6acf041ae34b9f86ff3db1193b41e0

Dostupnosť: https://doi.org/10.3390/s22030855
https://doaj.org/article/0e6acf041ae34b9f86ff3db1193b41e0

GBUO: “The Good, the Bad, and the Ugly” Optimizer

Autori: Hadi Givi Mohammad Dehghani Zeinab Montazeri a ďalší

Zdroj: Applied Sciences, Vol 11, Iss 5, p 2042 (2021)

Predmety: optimization, optimization algorithm, population-based algorithm, exploration, exploitation, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/11/5/2042; https://doaj.org/toc/2076-3417; https://doaj.org/article/59d34abcf9354f88a8d98412aad83f1e

Dostupnosť: https://doi.org/10.3390/app11052042
https://doaj.org/article/59d34abcf9354f88a8d98412aad83f1e

A New “Good and Bad Groups-Based Optimizer” for Solving Various Optimization Problems

Autori: Ali Sadeghi Sajjad Amiri Doumari Mohammad Dehghani a ďalší

Zdroj: Applied Sciences, Vol 11, Iss 4382, p 4382 (2021)

Predmety: optimization, optimization algorithm, population-based algorithm, good group, bad group, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/11/10/4382; https://doaj.org/toc/2076-3417; https://doaj.org/article/696b2d1873c04891840afa86d4d6b323

Dostupnosť: https://doi.org/10.3390/app11104382
https://doaj.org/article/696b2d1873c04891840afa86d4d6b323