Multi-Objective Optimization using Artificial Intelligence Techniques / by Seyedali Mirjalili, Jin Song Dong.
2020
QA402.5 .M57 2020eb
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Details
Title
Multi-Objective Optimization using Artificial Intelligence Techniques / by Seyedali Mirjalili, Jin Song Dong.
Author
Mirjalili, Seyedali.
Edition
1st ed. 2020.
ISBN
9783030248352
3030248356
3030248356
Published
Cham : Springer International Publishing, 2020 : Imprint Springer.
Language
English
Description
1 online resource (xi, 58 pages) : illustrations.
Other Standard Identifiers
10.1007/978-3-030-24
Call Number
QA402.5 .M57 2020eb
Dewey Decimal Classification
519.3
Summary
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.
Access Note
Access limited to authorized users.
Added Author
Dong, Jin Song, 1967-
Series
SpringerBriefs in Computational Intelligence, 2625-3704
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Online Access
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