Multi-Objective Optimization Using Artificial Intelligence Techniques
Overview
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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Details
- ISBN-13: 9783030248345
- ISBN-10: 3030248348
- Publisher: Springer
- Publish Date: August 2019
- Dimensions: 9.21 x 6.14 x 0.15 inches
- Shipping Weight: 0.25 pounds
- Page Count: 58
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