Description: Multi-objective Optimization Using Artificial Intelligence Techniques, Paperback by Mirjalili, Seyedali; Dong, Jin Song, ISBN 3030248348, ISBN-13 9783030248345, Like New Used, Free shipping in the US 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. Th provides the source codes for all the proposed algorithms on a dedicated webpage.
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Book Title: Multi-objective Optimization Using Artificial Intelligence Techni
Number of Pages: Xi, 58 Pages
Publication Name: Multi-Objective Optimization Using Artificial Intelligence Techniques
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2019
Subject: Engineering (General), Intelligence (Ai) & Semantics, Probability & Statistics / General
Item Weight: 16 Oz
Type: Textbook
Item Length: 9.3 in
Subject Area: Mathematics, Computers, Technology & Engineering
Author: Seyedali Mirjalili, Jin Song Dong
Series: Springerbriefs in Applied Sciences and Technology Ser.
Item Width: 6.1 in
Format: Trade Paperback
