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ACRI
2004
Springer
14 years 1 months ago
Evolving Transition Rules for Multi Dimensional Cellular Automata
Abstract. Genetic Algorithms have been used before to evolve transition rules for one dimensional Cellular Automata (CA) to solve e.g. the majority problem and investigate communic...
Ron Breukelaar, Thomas Bäck
GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
14 years 1 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
129views Optimization» more  GECCO 2004»
14 years 1 months ago
Encoding Bounded-Diameter Spanning Trees with Permutations and with Random Keys
Permutations of vertices can represent constrained spanning trees for evolutionary search via a decoder based on Prim’s algorithm, and random keys can represent permutations. Tho...
Bryant A. Julstrom
GECCO
2004
Springer
14 years 1 months ago
How Are We Doing? Predicting Evolutionary Algorithm Performance
Abstract. Given an evolutionary algorithm for a problem and an instance of the problem, the results of several trials of the EA on the instance constitute a sample from the distrib...
Mark A. Renslow, Brenda Hinkemeyer, Bryant A. Juls...
GECCO
2004
Springer
166views Optimization» more  GECCO 2004»
14 years 1 months ago
An Effective Chromosome Representation for Evolving Flexible Job Shop Schedules
As the Flexible Job Shop Scheduling Problem (or FJSP) is strongly NP-hard, using an evolutionary approach to find near-optimal solutions requires effective chromosome representatio...
Joc Cing Tay, Djoko Wibowo