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GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
15 years 11 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
GECCO
2004
Springer
119views Optimization» more  GECCO 2004»
15 years 11 months ago
Topological Interpretation of Crossover
Abstract. In this paper we give a representation-independent topological definition of crossover that links it tightly to the notion of fitness landscape. Building around this defi...
Alberto Moraglio, Riccardo Poli
GECCO
2003
Springer
118views Optimization» more  GECCO 2003»
15 years 11 months ago
Population Sizing Based on Landscape Feature
Abstract. Population size for EvolutionaryAlgorithms is usually an empirical parameter. We study the population size from aspects of fitness landscapes’ ruggedness and Probably ...
Jian Zhang, Xiaohui Yuan, Bill P. Buckles
EMO
2009
Springer
140views Optimization» more  EMO 2009»
15 years 11 months ago
On Using Populations of Sets in Multiobjective Optimization
Abstract. Most existing evolutionary approaches to multiobjective optimization aim at finding an appropriate set of compromise solutions, ideally a subset of the Pareto-optimal se...
Johannes Bader, Dimo Brockhoff, Samuel Welten, Eck...
EH
1999
IEEE
127views Hardware» more  EH 1999»
15 years 10 months ago
A System for Intrinsic Evolution of Linear and Non-Linear Filters
A system for exploring intrinsic evolution of linear and non-linear filter systems is described. It consists of a testbed topology of operational amplifiers and linear or non-line...
Stuart J. Flockton, Kevin Sheehan