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CEC
2005
IEEE
15 years 9 months ago
Parallel evolutionary algorithms on graphics processing unit
Evolutionary Algorithms (EAs) are effective and robust methods for solving many practical problems such as feature selection, electrical circuits synthesis, and data mining. Howeve...
Man Leung Wong, Tien-Tsin Wong, Ka-Ling Fok
GECCO
2005
Springer
121views Optimization» more  GECCO 2005»
15 years 9 months ago
An evolutionary algorithm to generate hyper-ellipsoid detectors for negative selection
This paper introduces hyper-ellipsoids as an improvement to hyper-spheres as intrusion detectors in a negative selection problem within an artificial immune system. Since hyper-s...
Joseph M. Shapiro, Gary B. Lamont, Gilbert L. Pete...
SAC
2004
ACM
15 years 9 months ago
A comparison of randomized and evolutionary approaches for optimizing base station site selection
It is increasingly important to optimally select base stations in the design of cellular networks, as customers demand cheaper and better wireless services. From a set of potentia...
Larry Raisanen, Roger M. Whitaker, Steve Hurley
PPSN
2004
Springer
15 years 8 months ago
Evolutionary Multi-agent Systems
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
Pieter Jan't Hoen, Edwin D. de Jong
PPSN
2004
Springer
15 years 8 months ago
Improving Evolutionary Algorithms with Multi-representation Island Models
Abstract. We present an island model that uses different representations in each island. The model transforms individuals from one representation to another during migrations. We ...
Zbigniew Skolicki, Kenneth A. De Jong