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» Evolutionary Algorithms for the Satisfiability Problem
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CEC
2010
IEEE
15 years 3 months ago
Many-objective Distinct Candidates Optimization using Differential Evolution on centrifugal pump design problems
Many-objective problems are difficult to solve using conventional multi-objective evolutionary algorithms (MOEAs) as these algorithms rely primarily on Pareto ranking to guide the ...
Peter Dueholm Justesen, Rasmus K. Ursem
ECAI
2000
Springer
15 years 6 months ago
Scheduling Meetings Using Distributed Valued Constraint Satisfaction Algorithm
Abstract. Scheduling meetings is generally difficult in that it attempts to satisfy the preferences of all participants. However, all participants can agree to a schedule in which...
Takuo Tsuruta, Toramatsu Shintani
EMO
2009
Springer
143views Optimization» more  EMO 2009»
14 years 11 months ago
Adapting to the Habitat: On the Integration of Local Search into the Predator-Prey Model
Traditionally, Predator-Prey Models--although providing a more nature-oriented approach to multi-objective optimization than many other standard Evolutionary Multi-Objective Algori...
Christian Grimme, Joachim Lepping, Alexander Papas...
COCOON
2006
Springer
15 years 5 months ago
Reconstructing Evolution of Natural Languages: Complexity and Parameterized Algorithms
In a recent article, Nakhleh, Ringe and Warnow introduced perfect phylogenetic networks--a model of language evolution where languages do not evolve via clean speciation--and form...
Iyad A. Kanj, Luay Nakhleh, Ge Xia
TEC
2002
161views more  TEC 2002»
15 years 1 months ago
A fast and elitist multiobjective genetic algorithm: NSGA-II
Multiobjective evolutionary algorithms (EAs) that use nondominated sorting and sharing have been criticized mainly for their: 1) ( 3) computational complexity (where is the number ...
Kalyanmoy Deb, Samir Agrawal, Amrit Pratap, T. Mey...