@article{922207,
      author = {Mirjalili, Seyedali. and Dong, Jin Song,},
      url = {http://library.usi.edu/record/922207},
      title = {Multi-Objective Optimization using Artificial Intelligence  Techniques /},
      abstract = {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.},
      recid = {922207},
      pages = {1 online resource (xi, 58 pages) :},
}