A Stigmergy-Based Algorithm for Black-Box Optimization: Noisy Function Testbed
Authors
P. Korošec, J. Šilc
Publication
Proceedings of the 10th annual conference on Genetic and evolutionary computation GECCO 2009
Montreal, Canada, 8-12 July, 2009
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 noisy function testbed is presented.
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