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GECCO
2004
Springer
13 years 10 months ago
A Particle Swarm Model of Organizational Adaptation
This study introduces the particle swarm metaphor to the domain of organizational adaptation. A simulation model (OrgSwarm) is constructed to examine the impact of strategic inerti...
Anthony Brabazon, Arlindo Silva, Tiago Ferra de So...
GECCO
2004
Springer
132views Optimization» more  GECCO 2004»
13 years 10 months ago
Robust and Efficient Genetic Algorithms with Hierarchical Niching and a Sustainable Evolutionary Computation Model
This paper proposes a new niching method named hierarchical niching, which combines spatial niching in search space and a continuous temporal niching concept. The method is natural...
Jianjun Hu, Erik D. Goodman
GECCO
2004
Springer
13 years 10 months ago
Looking Under the EA Hood with Price's Equation
Abstract. In this paper we show how tools based on extensions of Price’s equation allow us to look inside production-level EAs to see how selection, representation, and reproduct...
Jeffrey K. Bassett, Mitchell A. Potter, Kenneth A....
GECCO
2004
Springer
129views Optimization» more  GECCO 2004»
13 years 10 months ago
Memetic Optimization of Video Chain Designs
Abstract. Improving image quality is the backbone of highly competitive display industry. Contemporary video processing system design is a challenging optimization problem. General...
Walid Ali, Alexander P. Topchy
GECCO
2004
Springer
197views Optimization» more  GECCO 2004»
13 years 10 months ago
Applying Evolutionary Testing to Search for Critical Defects
Software systems are used regularly in safety-relevant applications. Therefore, the occurrence of critical defects may not only cause costly recalls but may also endanger human liv...
André Baresel, Harmen Sthamer, Joachim Wege...
GECCO
2004
Springer
13 years 10 months ago
On the Complexity to Approach Optimum Solutions by Inhomogeneous Markov Chains
We analyse the probability 1 − δ to be in an optimum solution after k steps of an inhomogeneous Markov chain which is specified by a logarithmic cooling schedule c(k) = Γ/ ln ...
Andreas Alexander Albrecht
GECCO
2004
Springer
101views Optimization» more  GECCO 2004»
13 years 10 months ago
Growth Curves and Takeover Time in Distributed Evolutionary Algorithms
This paper presents a study of different models for the growth curves and takeover time in a distributed EA (dEA). The calculation of the takeover time and the dynamical growth cu...
Enrique Alba, Gabriel Luque
GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
13 years 10 months ago
Training Neural Networks with GA Hybrid Algorithms
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Enrique Alba, J. Francisco Chicano
GECCO
2004
Springer
13 years 10 months ago
A Genetic Approach for Generating Good Linear Block Error-Correcting Codes
Alan Barbieri, Stefano Cagnoni, Giulio Colavolpe