Reference sharing: a new collaboration model for cooperative coevolution

Min Shi () and Shang Gao ()
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Min Shi: Norwegian University of Science and Technology
Shang Gao: Örebro University

Journal of Heuristics, 2017, vol. 23, issue 1, No 1, 30 pages

Abstract: Abstract Cooperative coevolutionary algorithms have been a popular and effective learning approach to solve optimization problems through problem decomposition. However, their performance is highly sensitive to the degree of problem separability. Different collaboration mechanisms usually have to be chosen for particular problems. In the paper, we aim to design a collaboration model that can be successfully applied to a wide range of problems. We present a novel collaboration mechanism that offers this type of potential, along with a new sorting strategy for individuals that are assigned multiple fitness values. Furthermore, we demonstrate and analyze our algorithm through comparison studies with other popular cooperative coevolutionary models on a suite of standard function optimization problems.

Keywords: Cooperative coevolution; Collaboration method; Fitness measurement; Function optimization (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10732-016-9322-9

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