Title :
Dynamic Demes parallel genetic algorithm
Author :
Nowostawski, Mariusz ; Poli, Riccardo
Author_Institution :
Dept. of Inf. Sci., Otago Univ., Dunedin, New Zealand
Abstract :
Dynamic Demes is a novel method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-slave distributed fitness evaluation model and the static subpopulation model. The authors present the algorithm, perform a theoretical analysis of its performance and present experimental results where Dynamic Demes was compared with other algorithms
Keywords :
distributed programming; genetic algorithms; parallel algorithms; Dynamic Demes parallel genetic algorithm; evolutionary algorithms; master-slave distributed fitness evaluation model; parallelisation; static subpopulation model; theoretical analysis; Algorithm design and analysis; Computer science; Electronics packaging; Genetic algorithms; Genetic mutations; Genetic programming; Information science; Master-slave; Parallel processing; Performance analysis;
Conference_Titel :
Knowledge-Based Intelligent Information Engineering Systems, 1999. Third International Conference
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-5578-4
DOI :
10.1109/KES.1999.820128
