Multiobjective evolutionary algorithms and applications

✍ Scribed by Kay Chen Tan, Eik Fun Khor, Tong Heng Lee

• Publisher: Springer
• Year: 2005
• Tongue: English
• Leaves: 295
• Series: Advanced information and knowledge processing
• Edition: 1
• Category: Library

✦ Synopsis

Evolutionary Multiobjective Optimization covers the authorsÆ recent research in the area of multiobjective evolutionary algorithms as well as its practical applications. The book is organized into two broad categories of chapters. The first category, introduces the concept, algorithm, advanced feature and software of evolutionary multiobjective optimization. The second category, illustrates the utility of evolutionary multiobjective optimization in practical applications, such as control systems, engineering designs, data mining and image processing. Evolutionary Multiobjective Optimization comprises both algorithms of EMO and application case studies. In addition, an GUI-based MOEA software will be provided which is particularly useful for teaching EMO algorithms and computer-aided designs as well as for solving multiobjective design problems in industry. This monograph is a highly valuable graduate level course text, and reference for researchers, lecturers, and practitioners in industry.

✦ Subjects

Информатика и вычислительная техника;Искусственный интеллект;Эволюционные алгоритмы;