TY  - MANSCPT
AU  - Mirjalili, Seyedali
AU  - Song Dong, Jin
TI  - Multi-Objective Optimization using Artificial Intelligence Techniques
T2  - Computational Intelligence
SN  - 9783030248345
U1  - 006.3 
PY  - 2020///
CY  - Switzerland
PB  - Springer Nature
KW  - Computational Intelligence
KW  - Optimization
KW  - Artificial Intelligence
N1  - -1. Introduction to Multi-objective Optimization
-2. What is Really Multi-objective Optimization?
-3. Multi-objective Particle Swarm Optimization
-4. Non-dominated Sorting Genetic Algorithm
-5. Multi-objective Grey Wolf Optimizer
N2  - 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
UR  - https://link.springer.com/content/pdf/bfm:978-3-030-24835-2/1?pdf=chapter%20toc
ER  -