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GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
15 years 5 months ago
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
BMCBI
2005
113views more  BMCBI 2005»
14 years 11 months ago
PentaPlot: A software tool for the illustration of genome mosaicism
Background: Dekapentagonal maps depict the phylogenetic relationships of five genomes in a visually appealing diagram and can be viewed as an alternative to a single evolutionary ...
Lutz Hamel, Olga Zhaxybayeva, J. Peter Gogarten
GECCO
2007
Springer
161views Optimization» more  GECCO 2007»
15 years 6 months ago
On solving hierarchical problems with top down control
We review recent work on the Hierarchical-If-And-Only-If problem and present a new hierarchical problem, HIFF-M that does not fit with previous explanations for evolutionary diffi...
Susan Khor
GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
15 years 5 months ago
Multipopulation cooperative coevolutionary programming (MCCP) to enhance design innovation
This paper describes the development of an evolutionary algorithm called Multipopulation Cooperative Coevolutionary Programming (MCCP) that extends Genetic Programming (GP) to sea...
Emily M. Zechman, S. Ranji Ranjithan
PPSN
2004
Springer
15 years 5 months ago
Finding Knees in Multi-objective Optimization
Abstract. Many real-world optimization problems have several, usually conflicting objectives. Evolutionary multi-objective optimization usually solves this predicament by searchin...
Jürgen Branke, Kalyanmoy Deb, Henning Dierolf...