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GECCO
2006
Springer
206views Optimization» more  GECCO 2006»
15 years 10 months ago
Adaptive discretization for probabilistic model building genetic algorithms
This paper proposes an adaptive discretization method, called Split-on-Demand (SoD), to enable the probabilistic model building genetic algorithm (PMBGA) to solve optimization pro...
Chao-Hong Chen, Wei-Nan Liu, Ying-Ping Chen
GECCO
2006
Springer
173views Optimization» more  GECCO 2006»
15 years 10 months ago
Pareto-coevolutionary genetic programming classifier
The conversion and extension of the Incremental ParetoCoevolution Archive algorithm (IPCA) into the domain of Genetic Programming classifier evolution is presented. In order to ac...
Michal Lemczyk, Malcolm I. Heywood
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
15 years 10 months ago
A survey of mutation techniques in genetic programming
The importance of mutation varies across evolutionary computation domains including: genetic programming, evolution strategies, and genetic algorithms. In the genetic programming ...
Alan Piszcz, Terence Soule
AMAI
2000
Springer
15 years 10 months ago
On Solving Boolean Optimization with Satisfiability-Based Algorithms
This paper proposes new algorithms for the Binate Covering Problem (BCP), a well-known restriction of Boolean Optimization. Binate Covering finds application in many areas of Comp...
Vasco M. Manquinho, João P. Marques Silva
COORDINATION
2000
Springer
15 years 10 months ago
OpenSpaces: An Object-Oriented Framework for Reconfigurable Coordination Spaces
Abstract. Tuple spaces have turned out to be one of the most fundamental abstractions for coordinating communicating agents. At the same time, researchers continue to propose new v...
Stéphane Ducasse, Thomas Hofmann, Oscar Nie...
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