02655nam 22005295 450 991048498500332120251113174544.03-030-24835-610.1007/978-3-030-24835-2(CKB)4100000008743019(MiAaPQ)EBC5838951(DE-He213)978-3-030-24835-2(PPN)243770499(EXLCZ)99410000000874301920190724d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMulti-Objective Optimization using Artificial Intelligence Techniques /by Seyedali Mirjalili, Jin Song Dong1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (xi, 58 pages)SpringerBriefs in Computational Intelligence,2625-37123-030-24834-8 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.SpringerBriefs in Computational Intelligence,2625-3712Computational intelligenceMachine learningOperations researchComputational IntelligenceMachine LearningOperations Research and Decision TheoryComputational intelligence.Machine learning.Operations research.Computational Intelligence.Machine Learning.Operations Research and Decision Theory.006.3Mirjalili Seyedaliauthttp://id.loc.gov/vocabulary/relators/aut1221964Dong Jin Songauthttp://id.loc.gov/vocabulary/relators/autBOOK9910484985003321Multi-Objective Optimization using Artificial Intelligence Techniques2844905UNINA