[Lecture Notes in Computer Science] Genetic and Evolutionary Computation – GECCO 2004 Volume 3102 || Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer

✍ Scribed by Deb, Kalyanmoy

• Book ID: 120727988
• Publisher: Springer Berlin Heidelberg
• Year: 2004
• Tongue: English
• Weight: 225 KB
• Edition: 1
• Category: Article
• ISBN: 3540248544
• DOI: 10.1007/978-3-540-24854-5_20

✦ Synopsis

The two volume set LNCS 3102/3103 constitutes the refereed proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2004, held in Seattle, WA, USA, in June 2004. The 230 revised full papers and 104 poster papers presented were carefully reviewed and selected from 460 submissions. The papers are organized in topical sections on artificial life, adaptive behavior, agents, and ant colony optimization; artificial immune systems, biological applications; coevolution; evolutionary robotics; evolution strategies and evolutionary programming; evolvable hardware; genetic algorithms; genetic programming; learning classifier systems; real world applications; and search-based software engineering.