Multi-Objective Optimization using Artificial Intelligence Techniques (häftad)
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Format
Häftad (Paperback / softback)
Språk
Engelska
Serie
SpringerBriefs in Computational Intelligence
Antal sidor
58
Utgivningsdatum
2019-08-07
Förlag
Springer Nature Switzerland AG
Dimensioner
234 x 156 x 4 mm
Vikt
114 g
ISBN
9783030248345

Multi-Objective Optimization using Artificial Intelligence Techniques

av Seyedali Mirjalili, Jin Song Dong
Häftad,  Engelska, 2019-08-07
716
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This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different paradigms to solve them. It then presents an in-depth explanations of the theory, literature review, and applications of several widely-used algorithms, such as Multi-objective Particle Swarm Optimizer, Multi-Objective Genetic Algorithm and Multi-objective GreyWolf Optimizer Due to the simplicity of the techniques and flexibility, readers from any field of study can employ them for solving multi-objective optimization problem. The book provides the source codes for all the proposed algorithms on a dedicated webpage.
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