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Optimization Concepts and Computational Methods

  • Masatoshi Sakawa
  • Ichiro Nishizaki
Chapter
Part of the Operations Research/Computer Science Interfaces Series book series (ORCS, volume 48)

Abstract

This chapter is devoted to reviewing optimization concepts and the related computational methods that will be used in the remaining chapters. In particular, we deal with three optimization concepts incorporating fuzziness and ambiguity of human judgements, multiplicity of evaluation criteria, and uncertainty of events characterizing decision making problems. Moreover, we provide the fundamentals of genetic algorithms which are considered to be one of the most practical and proven meta heuristics for difficult classes of optimization problems.

Keywords

Objective Function Genetic Algorithm Linear Programming Problem Pareto Optimal Solution Roulette Wheel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag US 2009

Authors and Affiliations

  1. 1.Department of Industrial and Fac. EngineeringHiroshima UniversityHigashi-HiroshimaJapan
  2. 2.Department of Industrial and Fac. EngineeringHiroshima UniversityHigashi-HiroshimaJapan

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