Min-Min Chromosome Genetic Algorithm for Load Balancing in Grid Computing
Wanneng Shu, Jiangqing Wang · International Journal of Distributed Sensor Networks · 2009
Load balancing is a very important and complex problem in grid computing. This paper studies Min-min chromosome genetic algorithm (MCGA) to gauge their suitability for solving grid load balancing problems. The effectiveness of the MCGA algorithm is shown for a number of test problems. Performance comparisons with Min-min, and genetic algorithm are also discussed.