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» On Using Populations of Sets in Multiobjective Optimization
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GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
15 years 3 months ago
Distribution replacement: how survival of the worst can out perform survival of the fittest
A new family of "Distribution Replacement” operators for use in steady state genetic algorithms is presented. Distribution replacement enforces the members of the populatio...
Howard Tripp, Phil Palmer
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
15 years 1 months ago
Learning recursive programs with cooperative coevolution of genetic code mapping and genotype
The Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP) algorithm that cooperatively coevolves a population of adaptive mappings and associated genotypes is...
Garnett Carl Wilson, Malcolm I. Heywood
EVOW
2010
Springer
15 years 3 months ago
A Directed Mutation Operator for Real Coded Genetic Algorithms
Abstract. Developing directed mutation methods has been an interesting research topic to improve the performance of genetic algorithms (GAs) for function optimization. This paper i...
Imtiaz Korejo, Shengxiang Yang, Changhe Li
PAAMS
2009
Springer
15 years 2 months ago
A Realistic Approach to Solve the Nash Welfare
The multi-agent resource allocation problem is the negotiation of a set of resources among a population of agents, in order to maximize a social welfare function. The purpose of th...
Antoine Nongaillard, Philippe Mathieu, Brigitte Ja...
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INFOCOM
1998
IEEE
15 years 1 months ago
Demand-based Radio Network Planning of Cellular Mobile Communication Systems
: This paper presents a demand-based engineering method for designing radio networks of cellularmobile communicationsystems. The proposed procedure is based on a forward-engineerin...
Kurt Tutschku