Multi-Objective Optimization using Artificial Intelligence Techniques (1st ed. 2020) (SpringerBriefs in Applied Sciences and Technology)

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Synopsis
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.
Copyright:
2020

Book Details

Book Quality:
Publisher Quality
ISBN-13:
9783030248352
Related ISBNs:
9783030248345
Publisher:
Springer International Publishing
Date of Addition:
Copyrighted By:
Springer
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Computers and Internet, Business and Finance
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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