The traditional concept of a genetic algorithm (GA) is that of selection, crossover and mutation. However, a limited amount of data from the literature has suggested that the nich...
Andrew Czarn, Cara MacNish, Kaipillil Vijayan, Ber...
Most of the Evolutionary Algorithms handling variable-sized structures, like Genetic Programming, tend to produce too long solutions and the recombination operator used is often co...
Michael Defoin-Platel, Manuel Clergue, Philippe Co...
Abstract. A formal, representation-independent form of a memetic algorithm-a genetic algorithm incorporating local search--is introduced. A generalisedform of N-point crossover is ...
We propose a multi-agent genetic algorithm to accomplish belief revision. The algorithm implements a new evolutionary strategy resulting from a combination of Darwinian and Lamarck...
In this paper, Simulated Evolution based goodness attributes are incorporated into Tabu Search and Genetic Algorithms to enhance performance as compared to canonical strategies. I...
Sadiq M. Sait, Mohammed Faheemuddin, Mustafa I. Al...