Ant algorithms for discrete optimization
Artificial Life
Ant colony optimization theory: a survey
Theoretical Computer Science
A Stigmergy-Based Algorithm for Continuous Optimization Tested on Real-Life-Like Environment
EvoWorkshops '09 Proceedings of the EvoWorkshops 2009 on Applications of Evolutionary Computing: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG
SamACO: variable sampling ant colony optimization algorithm for continuous optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
The differential ant-stigmergy algorithm
Information Sciences: an International Journal
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Although ACO has been proved to be an efficient and versatile tool for combinational optimization problems [1,2], it cannot deal with continuous optimization problems directly. Therefore, there are only a few studies on ACO [3] for continuous optimization. This paper presents a novel ACO algorithm (CACO-DE) for continuous optimization based on discrete encoding, which is quite different from other ant methods.