A stigmergy-based algorithm for black-box optimization: noiseless function testbed

Authors:
Peter Korošec;Jurij Šilc
Affiliations:
Jozef Stefan Institute, Ljubljana, Slovenia;Jozef Stefan Institute, Ljubljana, Slovenia
Venue:
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Year:
2009

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Abstract

In this paper, we present a stigmergy-based algorithm for solving optimization problems with continuous variables, labeled Differential Ant-Stigmergy Algorithm (DASA). The performance of the DASA is evaluated on the set of benchmark problems provided for Black-Box Optimization Benchmarking (BBOB) 2009, a GECCO Workshop for Real-Parameter Optimization. Benchmarking for noiseless function testbed is presented.