TY - JOUR
T1 - A Survey on Parallel Evolutionary Computing and Introduce Four General Frameworks to Parallelize All EC Algorithms and Create New Operation for Migration
AU - Amin Majd and Golnaz Sahebi
JO - Journal of Information and Computing Science
VL - 2
SP - 097
EP - 105
PY - 2024
DA - 2024/01
SN - 9
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22586.html
KW - parallel genetic algorithms, parallel PSO, parallel ant colony optimization, parallel bee colony 
optimization, parallel memetic algorithm, repulsive operation. 

AB -  Optimization  and  solving  NP-hard  problems  are  very  important  and  Evolutionary  Computing 
(EC)  methods  are  useful  and  popular.  There  are  different  types  of  EC  methods  that  most  of  them  are 
sequential  and  some  others  have  parallel  implementation.    In  first  step  we  want  to  review  some  parallel 
implementation of EC methods and in second step we introduce four general frameworks to parallelize all EC 
algorithms  that  they  are  Master-Slave  method,  Hybrid  method,  Simple  Multi-population  method  and 
Repulsive  Multi-Population  method.  Finally  we  create  a  new  operation  for  migration  to  keep  population 
diversity.