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

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. Categories and Subject Descriptors

• Type: Conference
• Year: 2009
• Where: GECCO
• Authors: Peter Korosec, Jurij Silc
• Keywords: Black-Box Optimization, Differential Ant-Stigmergy Algorithm, GECCO 2009, Optimization, Optimization Problems