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GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
15 years 4 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
CORR
2004
Springer
180views Education» more  CORR 2004»
14 years 11 months ago
Self-Organized Stigmergic Document Maps: Environment as a Mechanism for Context Learning
Social insect societies and more specifically ant colonies, are distributed systems that, in spite of the simplicity of their individuals, present a highly structured social organi...
Vitorino Ramos, Juan J. Merelo Guervós
GECCO
2008
Springer
180views Optimization» more  GECCO 2008»
15 years 25 days ago
An agent-based collaborative evolutionary model for multimodal optimization
A novel approach to multimodal optimization called Roaming Agent-Based Collaborative Evolutionary Model (RACE) combining several evolutionary techniques with agent-based modeling ...
Rodica Ioana Lung, Camelia Chira, Dumitru Dumitres...
AMC
2007
111views more  AMC 2007»
14 years 12 months ago
Locating multiple optima using particle swarm optimization
Many scientific and engineering applications require optimization methods to find more than one solution to multimodal optimization problems. This paper presents a new particle ...
R. Brits, Andries Petrus Engelbrecht, F. Van den B...
GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
15 years 5 months ago
Coordinating multi-rover systems: evaluation functions for dynamic and noisy environments
This paper addresses the evolution of control strategies for a collective: a set of entities that collectively strives to maximize a global evaluation function that rates the perf...
Kagan Tumer, Adrian K. Agogino