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Reactive Search and Intelligent Optimization

  • Book
  • © 2009

Overview

  • Comprehensive introduction to principles of reactive search
  • Focuses on methods, but uses problems to help demonstrate points
  • Important reading for anyone in decision science within areas of business, engineering, economics, or science

Part of the book series: Operations Research/Computer Science Interfaces Series (ORCS, volume 45)

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About this book

Reactive Search and Intelligent Optimization is an excellent introduction to the main principles of reactive search, as well as an attempt to develop some fresh intuition for the approaches. The book looks at different optimization possibilities with an emphasis on opportunities for learning and self-tuning strategies. While focusing more on methods than on problems, problems are introduced wherever they help make the discussion more concrete, or when a specific problem has been widely studied by reactive search and intelligent optimization heuristics.

Individual chapters cover reacting on the neighborhood; reacting on the annealing schedule; reactive prohibitions; model-based search; reacting on the objective function; relationships between reactive search and reinforcement learning; and much more. Each chapter is structured to show basic issues and algorithms; the parameters critical for the success of the different methods discussed; and opportunities forthe automated tuning of these parameters.

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Keywords

Table of contents (13 chapters)

Authors and Affiliations

  • Dipto. Informatica e Telecomunicazioni, Universitá Trento, Trento, Italy

    Roberto Battiti, Mauro Brunato, Franco Mascia

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