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GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
15 years 10 months ago
Instance similarity and the effectiveness of case injection in a genetic algorithm for binary quadratic programming
When an evolutionary algorithm addresses a sequence of instances of the same problem, it can seed its population with solutions that it found for previous instances. This techniqu...
Jason Amunrud, Bryant A. Julstrom
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
15 years 10 months ago
Evolving hash functions by means of genetic programming
The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use Genetic Programming (GP) to evolve robust and fa...
César Estébanez, Julio César ...
GECCO
2006
Springer
146views Optimization» more  GECCO 2006»
15 years 10 months ago
Fitness function for finding out robust solutions on time-varying functions
Evolutionary Computations in dynamic/uncertain environments have attracted much attention. Studies regarding this research subjects can be classified into four categories: Noise, ...
Hisashi Handa
GECCO
2006
Springer
158views Optimization» more  GECCO 2006»
15 years 10 months ago
The effects of interaction frequency on the optimization performance of cooperative coevolution
Cooperative coevolution is often used to solve difficult optimization problems by means of problem decomposition. Its performance on this task is influenced by many design decisio...
Elena Popovici, Kenneth A. De Jong
GECCO
2000
Springer
120views Optimization» more  GECCO 2000»
15 years 9 months ago
A Note on Learning and Evolution in Neural Networks
Interactions between evolution and lifetime learning are of great interest to studies of adaptive behaviour both in the natural world and the field of evolutionary computation. Th...
Brian Carse, Johan Oreland