The Fly Algorithm is a type of cooperative coevolution based on the Parisian approach. The Fly Algorithm has first been developed in 1999 in the scope...

genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA)....

an evolutionary algorithm (EA) is a subset of evolutionary computation, a generic population-based metaheuristic optimization algorithm. An EA uses mechanisms...

possible in the basic algorithm given above, see e.g. Artificial bee colony algorithm CMA-ES Evolution strategy Genetic algorithm Rocca, P.; Oliveri, G...

Selection is the stage of a genetic algorithm or more general evolutionary algorithm in which individual genomes are chosen from a population for later...

representation of the movement of organisms in a bird flock or fish school. The algorithm was simplified and it was observed to be performing optimization. The...

In computer science, evolutionary computation is a family of algorithms for global optimization inspired by biological evolution, and the subfield of artificial...

In genetic algorithms and evolutionary computation, crossover, also called recombination, is a genetic operator used to combine the genetic information...

evolutionary algorithm (EA). It is analogous to biological mutation. The classic example of a mutation operator of a binary coded genetic algorithm (GA) involves...

fitness level. It may and often does happen that a particular run of the algorithm results in premature convergence to some local maximum which is not a...