This book provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications, as well as newly devised metaheuristic algorithms.
This book provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications, as well as newly devised metaheuristic algorithms.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Patrick Siarry is a Professor of Automatics and Informatics at the University of Paris-Est Créteil, where he leads the Image and Signal Processing team in the Laboratoire Images, Signaux et Systèmes Intelligents (LiSSi). Anand J Kulkarni is Associate Professor at the Symbiosis Center for Research and Innovation, Symbiosis International (Deemed University).
Inhaltsangabe
Section I Bio-Inspired Methods Chapter 1 Brain Storm Optimization Algorithm Marwa Sharawi, Mohammadreza Gholami, and Mohammed El-Abd Chapter 2 Fish School Search: Account for the First Decade Carmelo José Abanez Bastos-Filho, Fernando Buarque de Lima-Neto, Anthony José da Cunha Carneiro Lins, Marcelo Gomes Pereira de Lacerda, Mariana Gomes da Motta Macedo, Clodomir Joaquim de Santana Junior, Hugo Valadares Siqueira, Rodrigo Cesar Lira da Silva, Hugo Amorim Neto, Breno Augusto de Melo Menezes, Isabela Maria Carneiro Albuquerque, João Batista Monteiro Filho, Murilo Rebelo Pontes, and João Luiz Vilar Dias Chapter 3 Marriage in Honey Bees Optimization in Continuous Domains Jing Liu, Sreenatha Anavatti, Matthew Garratt, and Hussein A. Abbass Chapter 4 Structural Optimization Using Genetic Algorithm... Ravindra Desai Section II Physics and Chemistry-Based Methods Chapter 5 Gravitational Search Algorithm: Theory, Literature Review, and Applications Amin Hashemi, Mohammad Bagher Dowlatshahi, and Hossein Nezamabadi-pour Chapter 6 Stochastic Diffusion Search Andrew Owen Martin BK-TandF-KULKARNI_9780367753030-210197-FM.indd 7 22/06/21 2:03 PM viii Contents Section III Socio-inspired Methods Chapter 7 The League Championship Algorithm: Applications and Extensions Ali Husseinzadeh Kashan, Alireza Balavand, Somayyeh Karimiyan, and Fariba Soleimani Chapter 8 Cultural Algorithms for Optimization Carlos Artemio Coello Coello and Ma Guadalupe Castillo Tapia Chapter 9 Application of Teaching-Learning-Based Optimization on Solving of Time Cost Optimization Problems Vedat To an, Tayfun Dede, and Hasan Basri Bääa Chapter 10 Social Learning Optimization Yue-Jiao Gong Chapter 11 Constraint Handling in Multi-Cohort Intelligence Algorithm Apoorva S. Shastri and Anand J. Kulkarni Section IV Swarm-Based Methods Chapter 12 Bee Colony Optimization and Its Applications Duan Teodorovi , Tatjana Davidovi , Milica elmi , and Milo Nikoli Chapter 13 A Bumble Bees Mating Optimization Algorithm for the Location Routing Problem with Stochastic Demands Magdalene Marinaki and Yannis Marinakis Chapter 14 A Glowworm Swarm Optimization Algorithm for the Multi-Objective Energy Reduction Multi-Depot Vehicle Routing Problem Emmanouela Rapanaki, Iraklis-Dimitrios Psychas, Magdalene Marinaki, and Yannis Marinakis Chapter 15 Monarch Butterfly Optimization Liwen Xie and Gai-Ge Wang
Section I Bio-Inspired Methods Chapter 1 Brain Storm Optimization Algorithm Marwa Sharawi, Mohammadreza Gholami, and Mohammed El-Abd Chapter 2 Fish School Search: Account for the First Decade Carmelo José Abanez Bastos-Filho, Fernando Buarque de Lima-Neto, Anthony José da Cunha Carneiro Lins, Marcelo Gomes Pereira de Lacerda, Mariana Gomes da Motta Macedo, Clodomir Joaquim de Santana Junior, Hugo Valadares Siqueira, Rodrigo Cesar Lira da Silva, Hugo Amorim Neto, Breno Augusto de Melo Menezes, Isabela Maria Carneiro Albuquerque, João Batista Monteiro Filho, Murilo Rebelo Pontes, and João Luiz Vilar Dias Chapter 3 Marriage in Honey Bees Optimization in Continuous Domains Jing Liu, Sreenatha Anavatti, Matthew Garratt, and Hussein A. Abbass Chapter 4 Structural Optimization Using Genetic Algorithm... Ravindra Desai Section II Physics and Chemistry-Based Methods Chapter 5 Gravitational Search Algorithm: Theory, Literature Review, and Applications Amin Hashemi, Mohammad Bagher Dowlatshahi, and Hossein Nezamabadi-pour Chapter 6 Stochastic Diffusion Search Andrew Owen Martin BK-TandF-KULKARNI_9780367753030-210197-FM.indd 7 22/06/21 2:03 PM viii Contents Section III Socio-inspired Methods Chapter 7 The League Championship Algorithm: Applications and Extensions Ali Husseinzadeh Kashan, Alireza Balavand, Somayyeh Karimiyan, and Fariba Soleimani Chapter 8 Cultural Algorithms for Optimization Carlos Artemio Coello Coello and Ma Guadalupe Castillo Tapia Chapter 9 Application of Teaching-Learning-Based Optimization on Solving of Time Cost Optimization Problems Vedat To an, Tayfun Dede, and Hasan Basri Bääa Chapter 10 Social Learning Optimization Yue-Jiao Gong Chapter 11 Constraint Handling in Multi-Cohort Intelligence Algorithm Apoorva S. Shastri and Anand J. Kulkarni Section IV Swarm-Based Methods Chapter 12 Bee Colony Optimization and Its Applications Duan Teodorovi , Tatjana Davidovi , Milica elmi , and Milo Nikoli Chapter 13 A Bumble Bees Mating Optimization Algorithm for the Location Routing Problem with Stochastic Demands Magdalene Marinaki and Yannis Marinakis Chapter 14 A Glowworm Swarm Optimization Algorithm for the Multi-Objective Energy Reduction Multi-Depot Vehicle Routing Problem Emmanouela Rapanaki, Iraklis-Dimitrios Psychas, Magdalene Marinaki, and Yannis Marinakis Chapter 15 Monarch Butterfly Optimization Liwen Xie and Gai-Ge Wang
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