文件名称：Computational Intelligence Paradigns for Optimization Problems Using MATLAB
文件大小：26.87MB
文件格式：PDF
更新时间：2021-12-20 13:19:19
Optimization MATLAB SIMULINK
Computational intelligence (CI) techniques have attracted several research engineers, decision makers, and practicing researchers in recent years for solving an unlimited num- ber of complex real-world problems, particularly related to the area of optimization. In the indecisive, uncertain, chaotic existence of multiple decision variables, complex constraints, and turmoil environment, classical and traditional approaches are incapable of obtaining complete and satisfactory solutions to optimization problems. CI embraces techniques that use global search optimization, machine learning, approximate reasoning, and connec- tionist systems. CI techniques involve a combination of learning, adaptation, and evolu- tion used for intelligent and innovative applications. CI is considered as one of the most innovative research directions, since efficient, robust, and easy-to-use solutions to complex real-world problems can be developed.