GECCO
2006
Springer
13 years 8 months ago
2006
Springer
We propose a new crossover that generalizes cycle crossover to permutations with repetitions and naturally suits partition problems. We tested it on graph partitioning problems ob...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
This paper proposes a hybrid genetic algorithm for multiple sequence alignment. The algorithm evolves guide sequences and aligns input sequences based on the guide sequences. It a...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
A genomic computing network is a variant of a neural network for which a genome encodes all aspects, both structural and functional, of the network. The genome is evolved by a gen...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Spatial Extension PSO (SEPSO) and Attractive-Repulsive PSO (ARPSO) are methods for artificial injection of diversity into particle swarm optimizers that are intended to encourage ...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Adaptive Random Testing subsumes a class of algorithms that detect the first failure with less test cases than Random Testing. The present paper shows that a "reference metho...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
The Layered Pareto Coevolution Archive (LAPCA) was recently proposed as an effective Coevolutionary Memory (CM) which, under certain assumptions, approximates monotonic progress i...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
This paper deals with transport user equilibrium. A modified version of the ant colony system is proposed where the ant colony heuristic is adapted in order to take into account a...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Two mathematical and two computational theories from the field of human and animal learning are combined to produce a more general theory of adaptive behavior. The cornerstone of ...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Genetic algorithms (GAs) have recently become very popular by solving combinatorial optimization problems. In this paper, we propose an extension of the hybrid genetic algorithm f...