Download ebook - Advanced Information and Knowledge Processing: Information Processing with Evolutionary Algorithms : From Industrial Applications to Academic Speculations (2005, Hardcover) PDF, DOC, DJV
9781852338664 1852338660 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., Provides a broad sample of current information processing applicationsIncludes examples of successful applications that will encourage practitioners to apply the techniques described in the book to real-life problems, The last decade of the twentieth century has witnessed a surge of interest in numerical, computational intensive approaches to information processing. The lines that draw the boundaries between statistics, optimization, artificial intelligence and information processing are disappearing and it is not uncommon to find well founded and sophisticated mathematical approaches in applications traditionally associated with ad-hoc programming. Evolutionary Algorithms are increasingly being applied to information processing applications that require any kind of optimization and they have reached the status of problem-solving tools in the backpack of the engineer. However, there are still exciting new developments taking place in the academic community. The driving idea in the organization of this edited volume is the emphasis in the contrast between already accepted engineering practice and on-going explorations in the academic community. As From industrial applications to academic speculations suggests, the organization of Information Processing with Evolutionary Algorithms follows an axis of nearness to practical applications, travelling from industrial day-to-day problems and practice to the more speculative works.
9781852338664 1852338660 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., Provides a broad sample of current information processing applicationsIncludes examples of successful applications that will encourage practitioners to apply the techniques described in the book to real-life problems, The last decade of the twentieth century has witnessed a surge of interest in numerical, computational intensive approaches to information processing. The lines that draw the boundaries between statistics, optimization, artificial intelligence and information processing are disappearing and it is not uncommon to find well founded and sophisticated mathematical approaches in applications traditionally associated with ad-hoc programming. Evolutionary Algorithms are increasingly being applied to information processing applications that require any kind of optimization and they have reached the status of problem-solving tools in the backpack of the engineer. However, there are still exciting new developments taking place in the academic community. The driving idea in the organization of this edited volume is the emphasis in the contrast between already accepted engineering practice and on-going explorations in the academic community. As From industrial applications to academic speculations suggests, the organization of Information Processing with Evolutionary Algorithms follows an axis of nearness to practical applications, travelling from industrial day-to-day problems and practice to the more speculative works.