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

Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication (2010) 1719-1724
DOI: 10.1145/1830761.1830794
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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. © 2010 ACM.

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El-Abd, M. (2010). Black-box optimization benchmarking for noiseless function testbed using artificial bee colony algorithm. In Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO ’10 - Companion Publication (pp. 1719–1724). https://doi.org/10.1145/1830761.1830794

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