Black-box optimization benchmarking for noiseless function testbed using artificial bee colony algorithm

Authors:
Mohammed El-Abd
Affiliations:
American University of Kuwait, Kuwait
Venue:
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Year:
2010

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Abstract

This paper benchmarks the Artificial Bee Colony (ABC) algorithm using the noise-free BBOB 2010 testbed. The results show how this algorithm is highly successful in the separable and weak structured functions.