Evolutionary computation for real-world problems

Bonyadi, Mohammad Reza and Michalewicz, Zbigniew (2016). Evolutionary computation for real-world problems. In Stan Matwin and Jan Mielniczuk (Ed.), Challenges in Computational Statistics and Data Mining (pp. 1-24) Switzerland: Springer. doi:10.1007/978-3-319-18781-5_1

Author Bonyadi, Mohammad Reza
Michalewicz, Zbigniew
Title of chapter Evolutionary computation for real-world problems
Title of book Challenges in Computational Statistics and Data Mining
Place of Publication Switzerland
Publisher Springer
Publication Year 2016
Sub-type Research book chapter (original research)
DOI 10.1007/978-3-319-18781-5_1
Open Access Status Not Open Access
Year available 2016
Series Studies in Computational Intelligence
ISBN 9783319187808
ISSN 1860-949X
Editor Stan Matwin
Jan Mielniczuk
Volume number 605
Chapter number 1
Start page 1
End page 24
Total pages 24
Total chapters 19
Collection year 2017
Language eng
Formatted Abstract/Summary
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.
Q-Index Code B1
Q-Index Status Provisional Code
Institutional Status Non-UQ

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Created: Wed, 13 Jul 2016, 07:02:26 EST by Reza Bonyadi on behalf of Centre for Advanced Imaging