Multi-objective optimization using artificial intelligence techniques
Mirjalili, Seyedali
Multi-objective optimization using artificial intelligence techniques by Seyedali Mirjalili, Jin Song Dong - First edition - 1 recurso en línea (XI, 58 páginas) 26 ilustraciones, 25 ilustraciones a color - SpringerBriefs in Computational Intelligence 2625-3704 Technologies and Robotics (Springer-42732) .
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.
9783030248352
10.1007/978-3-030-24835-2 doi
Optimización matemática
Inteligencia artificial
QA402.5 / 2020 EB
Multi-objective optimization using artificial intelligence techniques by Seyedali Mirjalili, Jin Song Dong - First edition - 1 recurso en línea (XI, 58 páginas) 26 ilustraciones, 25 ilustraciones a color - SpringerBriefs in Computational Intelligence 2625-3704 Technologies and Robotics (Springer-42732) .
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.
9783030248352
10.1007/978-3-030-24835-2 doi
Optimización matemática
Inteligencia artificial
QA402.5 / 2020 EB