GECCO
2003
Springer
13 years 10 months ago
2003
Springer
A novel method, for solving satisfiability (SAT) instances is presented. It is based on two components: a) An Epistasis Reducer Algorithm (ERA) that produces a more suited represe...
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. Our ability to simultaneously measure the expression levels of thousands of genes in biological samples is providing important new opportunities for improving the diagnos...
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
A robust structural damage detection method that can handle noisy frequency response function information is discussed. The inherent unstructured nature of damage detection problem...
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
It is clear from the study of complex non-linear systems in general, and evolutionary algorithms (EAs) in particular, that there is no single analysis tool or technique capable of ...
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
This work addresses the fractional-order dynamics during the evolution of a GA, which generates a robot manipulator trajectory. In order to investigate the phenomena involved in th...
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. Theoretical and empirical evidence exists that the hierarchical Bayesian optimization algorithm (hBOA) can solve challenging hierarchical problems and anything easier. Th...
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. In this paper, an agent-based evolutionary computing technique is introduced, that is geared towards the automatic induction and optimization of grammars for natural lang...
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. This paper proposes an algorithm for combinatorial optimizations that uses reinforcement learning and estimation of joint probability distribution of promising solutions ...
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
Many evolutionary computation search spaces require fitness assessment through the sampling of and generalization over a large set of possible cases as input. Such spaces seem par...
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...