Solving Incremental Optimization Problems via Cooperative Coevolution

Ran CHENG, Mohammad Nabi OMIDVAR, Amir H. GANDOMI, Bernhard SENDHOFF, Stefan MENZEL, Xin YAO

Research output: Journal PublicationsJournal Article (refereed)peer-review

13 Citations (Scopus)

Abstract

Engineering designs can involve multiple stages, where at each stage, the design models are incrementally modified and optimized. In contrast to traditional dynamic optimization problems, where the changes are caused by some objective factors, the changes in such incremental optimization problems (IOPs) are usually caused by the modifications made by the decision makers during the design process. While existing work in the literature is mainly focused on traditional dynamic optimization, little research has been dedicated to solving such IOPs. In this paper, we study how to adopt cooperative coevolution to efficiently solve a specific type of IOPs, namely, those with increasing decision variables. First, we present a benchmark function generator on the basis of some basic formulations of IOPs with increasing decision variables and exploitable modular structure. Then, we propose a contribution-based cooperative coevolutionary framework coupled with an incremental grouping method for dealing with them. On one hand, the benchmark function generator is capable of generating various benchmark functions with various characteristics. On the other hand, the proposed framework is promising in solving such problems in terms of both optimization accuracy and computational efficiency. In addition, the proposed method is further assessed using a real-world application, i.e., the design optimization of a stepped cantilever beam. © 1997-2012 IEEE.
Original languageEnglish
Article number8546776
Pages (from-to)762-775
Number of pages14
JournalIEEE Transactions on Evolutionary Computation
Volume23
Issue number5
Early online date27 Nov 2018
DOIs
Publication statusPublished - Oct 2019
Externally publishedYes

Keywords

  • Cooperative coevolution (CC)
  • experience-based optimization
  • incremental optimization problem (IOP)
  • variable grouping

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