Multi-Objective Optimization using Artificial Intelligence Techniques / by Seyedali Mirjalili, Jin Song Dong.

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Multi-Objective Optimization using Artificial Intelligence Techniques / by Seyedali Mirjalili, Jin Song Dong.

1st ed. 2020.

9783030248352
3030248356

Cham : Springer International Publishing, 2020 : Imprint Springer.

English

1 online resource (xi, 58 pages) : illustrations.

10.1007/978-3-030-24

QA402.5 .M57 2020eb

519.3

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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SpringerBriefs in Computational Intelligence, 2625-3704

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