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ATAL
2010
Springer
15 years 7 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
2005
Springer
178views Optimization» more  GECCO 2005»
15 years 12 months ago
A co-evolutionary hybrid algorithm for multi-objective optimization of gene regulatory network models
In this paper, the parameters of a genetic network for rice flowering time control have been estimated using a multiobjective genetic algorithm approach. We have modified the rece...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...
TEC
2012
234views Formal Methods» more  TEC 2012»
13 years 8 months ago
Cooperatively Coevolving Particle Swarms for Large Scale Optimization
—This paper presents a new cooperative coevolving particle swarm optimization (CCPSO) algorithm in an attempt to address the issue of scaling up particle swarm optimization (PSO)...
Xiaodong Li, Xin Yao
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
15 years 12 months ago
Not all linear functions are equally difficult for the compact genetic algorithm
Estimation of distribution algorithms (EDAs) try to solve an optimization problem by finding a probability distribution focussed around its optima. For this purpose they conduct ...
Stefan Droste
ATAL
2007
Springer
16 years 19 days ago
Multi-task overlapping coalition parallel formation algorithm
The issue of coalition formation has been investigated from many aspects, but until recently little attention has been paid to overlapping coalition formation. What’s more, an a...
Chao-Feng Lin, Shan-Li Hu