Information processing with evolutionary algorithms: from industrial applications to academic speculations

✍ Scribed by Manuel Grana, Richard J. Duro, Alicia d'Anjou, Paul P. Wang

• Publisher: Springer
• Year: 2005
• Tongue: English
• Leaves: 339
• Series: Advanced information and knowledge processing
• Edition: 1
• Category: Library

✦ Synopsis

Information Processing with Evolutionary Algorithms provides a broad sample of current information processing applications, issues and advances using evolutionary algorithms. It demonstrates how evolutionary algorithms have reached the maturity of an industrial-valuable tool, whilst still continuing to be a subject of academic research, through providing a glimpse of the large variety of problems tackled with evolutionary approximations and of the diversity of evolutionary algorithms themselves. Information Processing with Evolutionary Algorithms travels from industrial day-to-day problems and practice, to the more speculative works. A series of works from successful and down to earth case studies to speculative academic research is presented and fundamental issues dealt with span from time varying fitness functions, limited convergence, molecular computing, to evolutionary game theory and swarm optimisation