The application of genetic algorithms (GAs) to many optimization problems in organizations often results in good performance and high quality solutions. For successful and efficien...
Maroun Bercachi, Philippe Collard, Manuel Clergue,...
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
— The research field of partitioning for electronic systems started to attract significant attention of scientists about fifteen years ago. Gaining ever more importance due to...
In this paper we study a number of issues related to the design of a cellular genetic algorithm (cGA) for multiobjective optimization. We take as an starting point an algorithm fol...
In this paper, we present a new approach to the temporal order restoration of the off-line handwriting. After the preprocessing steps of the word image, a suitable algorithm makes...