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CP
2011
Springer
12 years 7 months ago
Pruning Rules for Constrained Optimisation for Conditional Preferences
A depth-first search algorithm can be used to find optimal solutions of a Constraint Satisfaction Problem (CSP) with respect to a set of conditional preferences statements (e.g.,...
Nic Wilson, Walid Trabelsi
CORR
2010
Springer
427views Education» more  CORR 2010»
13 years 6 months ago
A Comparison between Memetic algorithm and Genetic algorithm for the cryptanalysis of Simplified Data Encryption Standard algori
Genetic algorithms are a population-based Meta heuristics. They have been successfully applied to many optimization problems. However, premature convergence is an inherent charact...
Poonam Garg
ENC
2005
IEEE
14 years 1 months ago
Saving Evaluations in Differential Evolution for Constrained Optimization
Generally, evolutionary algorithms require a large number of evaluations of the objective function in order to obtain a good solution. This paper presents a simple approach to sav...
Efrén Mezura-Montes, Carlos A. Coello Coell...
ICTAI
2002
IEEE
14 years 20 days ago
Calculus of Variations in Discrete Space for Constrained Nonlinear Dynamic Optimization
In this paper, we propose new dominance relations that can speed up significantly the solution process of nonlinear constrained dynamic optimization problems in discrete time and...
Yixin Chen, Benjamin W. Wah
GECCO
1999
Springer
126views Optimization» more  GECCO 1999»
14 years 12 hour ago
Improving Genetic Algorithms by Search Space Reductions (with Applications to Flow Shop Scheduling)
Crossover operators that preserve common components can also preserve representation level constraints. Consequently, these constraints can be used to beneficially reduce the sea...
Stephen Y. Chen, Stephen F. Smith