A New Ant Colony Algorithm Using the Heterarchical Concept Aimed at Optimization of Multiminima Continuous Functions Export

@inproceedings{citeulike:915933, abstract = {Ant colony algorithms are a class of metaheuristics which are inspired from the behaviour of real ants. The original idea consisted in simulating the stigmergic communication, therefore these algorithms are considered as a form of adaptive memory programming. A new formal- ization is proposed for the design of ant colony algorithms, introducing the biological notions of heterarchy and communication channels. We are interested in the way ant colonies handle the information. According to these issues, an heterarchical algorithm called ” Continuous Interacting Ant Colony” (CIAC) is designed for the optimization of multiminima continuous functions. CIAC uses two communication channels showing the properties of stigmergic and direct communications. CIAC presents interesting emergent properties as it was shown through some analytical test functions.}, address = {Berlin, Germany}, author = {Dreo, Johann and Siarry, Patrick}, booktitle = {Ant Algorithms : Third International Workshop, ANTS 2002}, citeulike-article-id = {915933}, editor = {Dorigo, Macro and Di Caro, Gianni and Sampels, Michael}, keywords = {ant-colony-optimization, metaheuristic, multi-agent, self-organization, swarm-intelligence}, posted-at = {2006-10-28 19:52:21}, priority = {0}, publisher = {Springer-Verlag}, series = {LNCS}, title = {A New Ant Colony Algorithm Using the Heterarchical Concept Aimed at Optimization of Multiminima Continuous Functions}, volume = {2463}, year = {2002} }

TY - CONF ID - citeulike:915933 L3 - citeulike-article-id:915933 N2 - Ant colony algorithms are a class of metaheuristics which are inspired from the behaviour of real ants. The original idea consisted in simulating the stigmergic communication, therefore these algorithms are considered as a form of adaptive memory programming. A new formal- ization is proposed for the design of ant colony algorithms, introducing the biological notions of heterarchy and communication channels. We are interested in the way ant colonies handle the information. According to these issues, an heterarchical algorithm called “Continuous Interacting Ant Colony” (CIAC) is designed for the optimization of multiminima continuous functions. CIAC uses two communication channels showing the properties of stigmergic and direct communications. CIAC presents interesting emergent properties as it was shown through some analytical test functions. SE - LNCS AD - Berlin, Germany TI - A New Ant Colony Algorithm Using the Heterarchical Concept Aimed at Optimization of Multiminima Continuous Functions PB - Springer-Verlag VL - 2463 T2 - Ant Algorithms : Third International Workshop, ANTS 2002 KW - ant-colony-optimization KW - metaheuristic KW - multi-agent KW - self-organization KW - swarm-intelligence AU - Dreo, Johann AU - Siarry, Patrick A2 - Dorigo, Macro A2 - Di Caro, Gianni A2 - Sampels, Michael PY - 2002/// ER -