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Evolutionary Computation for Real-World Problems

  • Mohammad Reza BonyadiEmail author
  • Zbigniew Michalewicz
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 605)

Abstract

In this paper we discuss three topics that are present in the area of real-world optimization, but are often neglected in academic research in evolutionary computation community. First, problems that are a combination of several interacting sub-problems (so-called multi-component problems) are common in many real-world applications and they deserve better attention of research community. Second, research on optimisation algorithms that focus the search on the edges of feasible regions of the search space is important as high quality solutions usually are the boundary points between feasible and infeasible parts of the search space in many real-world problems. Third, finding bottlenecks and best possible investment in real-world processes are important topics that are also of interest in real-world optimization. In this chapter we discuss application opportunities for evolutionary computation methods in these three areas.

Keywords

Integer Linear Program Travel Salesman Problem Travel Salesman Problem Knapsack Problem Vehicle Rout Problem 
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 International Publishing Switzerland 2016

Authors and Affiliations

  • Mohammad Reza Bonyadi
    • 1
    Email author
  • Zbigniew Michalewicz
    • 1
    • 2
    • 3
    • 4
  1. 1.Optimisation and LogisticsThe University of AdelaideAdelaideAustralia
  2. 2.Institute of Computer SciencePolish Academy of SciencesWarsawPoland
  3. 3.Polish-Japanese Institute of Information TechnologyWarsawPoland
  4. 4.Chief of Science, ComplexicaAdelaideAustralia

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