Accelerated strategies of evolutionary algorithms for optimization problem and their applications - Liang Yong

Global optimization is important for solving practical optimization problems especially in engineering. Generally the problems encountered are very different in structure and have very different features. In trying to solve them a big variety of ideas and algorithms have been proposed. Among the rest, evolutionary algorithms (EAs) represent a powerful search and optimization paradigm. EAs have been applied in a vast number of application areas. In some cases, they have advantages over existing computerized techniques. However, the efficiencies and reliability of EAs for solving the complex and multimodal optimization problems cannot satisfy the practical requirements at present. Currently, it is an important research area for EAs.