Handbook of AI-based Metaheuristics

Inbunden, Engelska, 2021

3 338 kr

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Beskrivning

At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms.The Handbook of AI-based Metaheuristics 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; and newly devised metaheuristic algorithms.This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.

Produktinformation

Utgivningsdatum:2021-09-02
Mått:174 x 246 x 27 mm
Vikt:1 129 g
Format:Inbunden
Språk:Engelska
Serie:Advances in Metaheuristics
Antal sidor:398
Förlag:Taylor & Francis Ltd
ISBN:9780367753030

Utforska kategorier

Optimering inom Naturvetenskap och teknik
Informationsteknik: allmänt inom Data och IT
Artificiell intelligens inom Data och IT

Mer om författaren

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).

Innehållsförteckning

Section I Bio-Inspired MethodsChapter 1 Brain Storm Optimization AlgorithmMarwa Sharawi, Mohammadreza Gholami,and Mohammed El-AbdChapter 2 Fish School Search: Account for the First DecadeCarmelo José Abanez Bastos-Filho, Fernando Buarque de Lima-Neto,Anthony José da Cunha Carneiro Lins, Marcelo Gomes Pereira deLacerda, Mariana Gomes da Motta Macedo, Clodomir Joaquim deSantana Junior, Hugo Valadares Siqueira, Rodrigo Cesar Lira da Silva,Hugo Amorim Neto, Breno Augusto de Melo Menezes, Isabela MariaCarneiro Albuquerque, João Batista Monteiro Filho, Murilo Rebelo Pontes,and João Luiz Vilar DiasChapter 3 Marriage in Honey Bees Optimization in Continuous DomainsJing Liu, Sreenatha Anavatti, Matthew Garratt,and Hussein A. AbbassChapter 4 Structural Optimization Using Genetic Algorithm...Ravindra DesaiSection II Physics and Chemistry-Based MethodsChapter 5 Gravitational Search Algorithm: Theory, Literature Review,and ApplicationsAmin Hashemi, Mohammad Bagher Dowlatshahi,and Hossein Nezamabadi-pourChapter 6 Stochastic Diffusion SearchAndrew Owen MartinBK-TandF-KULKARNI_9780367753030-210197-FM.indd 7 22/06/21 2:03 PMviii ContentsSection III Socio-inspired MethodsChapter 7 The League Championship Algorithm: Applications and ExtensionsAli Husseinzadeh Kashan, Alireza Balavand, Somayyeh Karimiyan,and Fariba SoleimaniChapter 8 Cultural Algorithms for OptimizationCarlos Artemio Coello Coello and Ma Guadalupe Castillo TapiaChapter 9 Application of Teaching-Learning-Based Optimizationon Solving of Time Cost Optimization ProblemsVedat Toğan, Tayfun Dede, and Hasan Basri BaşağaChapter 10 Social Learning OptimizationYue-Jiao GongChapter 11 Constraint Handling in Multi-Cohort Intelligence AlgorithmApoorva S. Shastri and Anand J. KulkarniSection IV Swarm-Based MethodsChapter 12 Bee Colony Optimization and Its ApplicationsDušan Teodorović, Tatjana Davidović, Milica Šelmić,and Miloš NikolićChapter 13 A Bumble Bees Mating Optimization Algorithm for the LocationRouting Problem with Stochastic DemandsMagdalene Marinaki and Yannis MarinakisChapter 14 A Glowworm Swarm Optimization Algorithm for the Multi-ObjectiveEnergy Reduction Multi-Depot Vehicle Routing ProblemEmmanouela Rapanaki, Iraklis-Dimitrios Psychas,Magdalene Marinaki, and Yannis MarinakisChapter 15 Monarch Butterfly OptimizationLiwen Xie and Gai-Ge Wang