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GECCO
2007
Springer
130views Optimization» more  GECCO 2007»
16 years 1 months ago
Variable discrimination of crossover versus mutation using parameterized modular structure
Recent work has provided functions that can be used to prove a principled distinction between the capabilities of mutation-based and crossover-based algorithms. However, prior fun...
Rob Mills, Richard A. Watson
GECCO
2007
Springer
129views Optimization» more  GECCO 2007»
16 years 1 months ago
Procreating V-detectors for nonself recognition: an application to anomaly detection in power systems
The artificial immune system approach for self-nonself discrimination and its application to anomaly detection problems in engineering is showing great promise. A seminal contribu...
Min Gui, Sanjoy Das, Anil Pahwa
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
16 years 1 months ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
PODC
2005
ACM
16 years 11 days ago
Facility location: distributed approximation
In this paper, we initiate the study of the approximability of the facility location problem in a distributed setting. In particular, we explore a trade-off between the amount of...
Thomas Moscibroda, Roger Wattenhofer
GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
16 years 10 days ago
On the complexity of hierarchical problem solving
Competent Genetic Algorithms can efficiently address problems in which the linkage between variables is limited to a small order k. Problems with higher order dependencies can onl...
Edwin D. de Jong, Richard A. Watson, Dirk Thierens