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» The State Problem for Evolutionary Testing
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ICANNGA
2007
Springer
138views Algorithms» more  ICANNGA 2007»
14 years 2 months ago
Liquid State Genetic Programming
Abstract. A new Genetic Programming variant called Liquid State Genetic Programming (LSGP) is proposed in this paper. LSGP is a hybrid method combining a dynamic memory for storing...
Mihai Oltean
COCOON
2006
Springer
14 years 7 days ago
Reconstructing Evolution of Natural Languages: Complexity and Parameterized Algorithms
In a recent article, Nakhleh, Ringe and Warnow introduced perfect phylogenetic networks--a model of language evolution where languages do not evolve via clean speciation--and form...
Iyad A. Kanj, Luay Nakhleh, Ge Xia
AAMAS
2005
Springer
13 years 8 months ago
Cooperative Multi-Agent Learning: The State of the Art
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
Liviu Panait, Sean Luke
KDD
2000
ACM
129views Data Mining» more  KDD 2000»
14 years 2 days ago
Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing
Predictive models in direct marketing seek to identify individuals most likely to respond to promotional solicitations or other intervention programs. While standard modeling appr...
Siddhartha Bhattacharyya
ISNN
2009
Springer
14 years 3 months ago
An Improved Quantum Evolutionary Algorithm with 2-Crossovers
Quantum evolutionary algorithm (QEA) is proposed on the basis of the concept and principles of quantum computing, which is a classical metaheuristic algorithm for the approximate s...
Zhihui Xing, Haibin Duan, Chunfang Xu