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SASO
2009
IEEE
14 years 3 months ago
Swarming Polyagents Executing Hierarchical Task Networks
Swarming agents often operate in benign geographic topologies that let them explore alternative trajectories with minor variations that the agent dynamics then amplify for improve...
Sven A. Brueckner, Theodore C. Belding, Robert Bis...
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 9 months ago
Rank based variation operators for genetic algorithms
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
Jorge Cervantes, Christopher R. Stephens
ATAL
2010
Springer
13 years 9 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
14 years 2 months ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya
CCS
2004
ACM
14 years 1 months ago
MAC and UML for secure software design
Security must be a first class citizen in the design of large scale, interacting, software applications, at early and all stages of the lifecycle, for accurate and precise policy ...
Thuong Doan, Steven A. Demurjian, T. C. Ting, Andr...