Handbook of AI-based metaheuristics
Author(s)
Bibliographic Information
Handbook of AI-based metaheuristics
（Advances in metaheuristics）
CRC Press, 2022
1st ed
- : hbk
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
the handbook is a valuable reference to researchers from industry and academia, as well as Masters and PhD students around the globe working in the metaheuristics and applications domain
includes contributions from a variety of academics/researchers in the field of metaheuristics
Table of Contents
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 Jose Abanez Bastos-Filho, Fernando Buarque de Lima-Neto,
Anthony Jose 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, Joao Batista Monteiro Filho, Murilo Rebelo Pontes,
and Joao 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 Togan, Tayfun Dede, and Hasan Basri Basaga
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
Dusan Teodorovic, Tatjana Davidovic, Milica Selmic,
and Milos Nikolic
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
by "Nielsen BookData"