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GECCO
2004
Springer
100views Optimization» more  GECCO 2004»
16 years 7 days ago
Analysis of the (1+1) EA for a Noisy OneMax
Abstract. In practical applications evaluating a fitness function is frequently subject to noise, i. e., the “true fitness” is disturbed by some random variations. Evolutiona...
Stefan Droste
GECCO
2004
Springer
114views Optimization» more  GECCO 2004»
16 years 7 days ago
Hybrid Genetic Algorithms for Multi-Objective Optimisation of Water Distribution Networks
Abstract. Genetic algorithms have been a standard technique for engineers optimising water distribution networks for some time. However in recent years there has been an increasing...
Ed Keedwell, Soon-Thiam Khu
GECCO
2004
Springer
16 years 7 days ago
Hybridizing Evolutionary Testing with the Chaining Approach
Fitness functions derived for certain white-box test goals can cause problems for Evolutionary Testing (ET), due to a lack of sufficient guidance to the required test data. Often t...
Phil McMinn, Mike Holcombe
GECCO
2004
Springer
244views Optimization» more  GECCO 2004»
16 years 7 days ago
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
In this paper, we present an extension of the heuristic called “particle swarm optimization” (PSO) that is able to deal with multiobjective optimization problems. Our approach ...
Gregorio Toscano Pulido, Carlos A. Coello Coello
PSD
2004
Springer
132views Database» more  PSD 2004»
16 years 6 days ago
Computational Experiments with Minimum-Distance Controlled Perturbation Methods
Minimum-distance controlled perturbation is a recent family of methods for the protection of statistical tabular data. These methods are both efficient and versatile, since can dea...
Jordi Castro