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GECCO
2007
Springer
174views Optimization» more  GECCO 2007»
13 years 11 months ago
Heuristic speciation for evolving neural network ensemble
Speciation is an important concept in evolutionary computation. It refers to an enhancements of evolutionary algorithms to generate a set of diverse solutions. The concept is stud...
Shin Ando
GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
13 years 9 months ago
Evolution of Goal-Directed Behavior from Limited Information in a Complex Environment
In this paper, we apply an evolutionary algorithm to learning behavior on a novel, interesting task to explore the general issue of learning e ective behaviors in a complex enviro...
Matthew R. Glickman, Katia P. Sycara
IJCSA
2007
99views more  IJCSA 2007»
13 years 5 months ago
Wing Pattern-Based Classification of the Rhagoletis pomonella Species Complex Using Genetic Neural Networks
The Rhagoletis pomonella species complex consists of at least four sibling species. They are highly host specific as larvae, and display great fidelity as adults. The only certain...
Chengpeng Bi, Michael C. Saunders, Bruce A. McPher...
GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
13 years 9 months ago
Ensemble selection for evolutionary learning using information theory and price's theorem
This paper presents an information theoretic perspective on design and analysis of evolutionary algorithms. Indicators of solution quality are developed and applied not only to in...
Stuart W. Card, Chilukuri K. Mohan
ESA
1999
Springer
89views Algorithms» more  ESA 1999»
13 years 9 months ago
On the Informational Asymmetry between Upper and Lower Bounds for Ultrametric Evolutionary Trees
Abstract. This paper addresses the informational asymmetry for constructing an ultrametric evolutionary tree from upper and lower bounds on pairwise distances between n given speci...
Ting Chen, Ming-Yang Kao