Optimization Using Distributed Genetic Algorithms
Optimization Using Distributed Genetic Algorithms
T. Starkweather,L. D. Whitley,Keith E. Mathias
1990 · DOI: 10.1007/BFb0029750
Parallel Problem Solving from Nature · 227 Citations
TLDR
Data collected concerning execution times show that the GENITOR genetic algorithm using multiple subpopulations may execute much faster than the single population version when the cost of the evaluation function is low; thus, total number of evaluations is not always a good metric for making performance comparisons.
