"Clonal Selection Algorithm". Clonal Selection Algorithm. de Castro, L. N.; Von Zuben, F. J. (2002). "Learning and Optimization Using the Clonal Selection...

In immunology, clonal selection theory explains the functions of cells of the immune system (lymphocytes) in response to specific antigens invading the...

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

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

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

genetic algorithms. A fourth branch, genetic programming, eventually emerged in the early 1990s. These approaches differ in the method of selection, the...

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

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

problem space and search space are identical. In common with evolutionary algorithms, the operators are applied in a loop. An iteration of the loop is called...

I.C. (2003). "The Particle Swarm Optimization Algorithm: convergence analysis and parameter selection". Information Processing Letters. 85 (6): 317–325...