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» A New Crossover Operator for Genetic Algorithms
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GECCO
2000
Springer
106views Optimization» more  GECCO 2000»
13 years 11 months ago
A Genetic Segmentation Algorithm for Image Data Streams and Video
We describe a genetic segmentation algorithm for image data streams and video. This algorithm operates on segments of a string representation. It is similar to both classical gene...
Patrick Chiu, Andreas Girgensohn, Wolfgang Polak, ...
EC
2002
121views ECommerce» more  EC 2002»
13 years 7 months ago
Group Properties of Crossover and Mutation
It is supposed that the finite search space has certain symmetries which can be described in terms of a group of permutations acting upon it. If crossover and mutation respect th...
Jonathan E. Rowe, Michael D. Vose, Alden H. Wright
FOGA
1998
13 years 9 months ago
Understanding Interactions among Genetic Algorithm Parameters
Genetic algorithms (GAs) are multi-dimensional and stochastic search methods, involving complex interactions among their parameters. For last two decades, researchers have been tr...
Kalyanmoy Deb, Samir Agrawal
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
14 years 1 months ago
An analysis of constructive crossover and selection pressure in genetic programming
A common problem in genetic programming search algorithms is destructive crossover in which the offspring of good parents generally has worse performance than the parents. Design...
Huayang Xie, Mengjie Zhang, Peter Andreae
CORR
2004
Springer
81views Education» more  CORR 2004»
13 years 7 months ago
Optimizing genetic algorithm strategies for evolving networks
This paper explores the use of genetic algorithms for the design of networks, where the demands on the network fluctuate in time. For varying network constraints, we find the best...
Matthew J. Berryman, Andrew Allison, Derek Abbott