Real-parameter optimization with OptBees

This paper reports how OptBees, an algorithm inspired by the collective decision-making of bee colonies, performed in the test bed developed for the Special Session & Competition on Real-Parameter Single Objective Optimization at CEC-2014. The test bed includes 30 scalable functions, many of whi...

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Bibliographic Details
Published in2014 IEEE Congress on Evolutionary Computation (CEC) pp. 2649 - 2655
Main Authors Dourado Maia, Renato, Nunes de Castro, Leandro, Matos Caminhas, Walmir
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2014
Subjects
Decision making
Educational institutions
Evolutionary computation
Insects
Mathematical model
Optimization
Recruitment
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Summary:This paper reports how OptBees, an algorithm inspired by the collective decision-making of bee colonies, performed in the test bed developed for the Special Session & Competition on Real-Parameter Single Objective Optimization at CEC-2014. The test bed includes 30 scalable functions, many of which are both non-separable and highly multi-modal. Results include OptBees' performance on the 10, 30, 50 and 100-dimensional versions of each function.
ISSN:1089-778X
1941-0026
DOI:10.1109/CEC.2014.6900549