Dynamic genetic algorithms for the dynamic load balanced clustering problem in mobile ad hoc networks
With the increasing use of computers in research contributions, added requirement for faster processing is now an important necessity. Parallel Processing describes the concept of running tasks which can be run simultaneously on several processors. Load balancing is very important problem in multiprocessor systems. In this paper, we introduce a approah based on Genetic Algorithms and Fuzzy Logic for laod balancing in parallel multiprocessor systems that call GAF algorithm. Extensive simulation shows our algorithm is better than other approach. Simualation results indicate our algorithm have maximum utilization and it reduce total response time of system.