Mar 1, 2001 · Abstract. The algorithmic form of GAs conforms well to SIMD computing environments with relatively minor adjustments to the operators. In this ...

Behavior of Interconnected Subpopulations: Genetic Algorithms in a SIMD Environment ... The algorithmic form of GAs conforms well to SIMD computing environments ...

The purpose is to supplant anecdotal experience with statistical evidence. A set of control parameters—topology, migration operator, migration radius, and ...

SUBMITTED TO IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION. 1. Behavior of Interconnected Subpopulations: Genetic Algorithms in a SIMD Environment. D. Prabhu ...

This work addresses the question of the degree to which control parameters affecting subpopulation intercommunication impact the behavior of a massively ...

A SIMD Environment for Genetic Algorithms with Interconnected Subpopulations. Scalable Comput. Pract. Exp. 7(2) (2006); 2000. [j2]. view. electronic edition via ...

This paper describes the successful parallel implementation of genetic programming on a network of processing nodes using the transputer architecture.

A SIMD Environment for Genetic Algorithms with Interconnected Subpopulations ... subpopulations and runs the genetic algorithm on each subpopulation ...

Jun 18, 1996 · of Interconnected. Subpopulations: Genetic. Algorithms in a SIMD. Environment", sub- mitted to Evolutionary. Compu_a$ion. Page 9. Table 2 ...

On the other hand, the subpopulations belonging to a cgpGA (local strings in a fgpGA) can evolve by applying the same techniques or by using different kinds of.