Optimization of control parameters for genetic algorithms
IEEE Transactions on Systems, Man and Cybernetics
The Influence of Different Workload Descriptions on a Heuristic Load Balancing Scheme
IEEE Transactions on Software Engineering
An introduction to genetic algorithms
An introduction to genetic algorithms
A genetic algorithm for job shop scheduling with load balancing
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
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In this paper, we propose a genetic algorithm(GA) based load balancing approach for a distributed system. Fisrt we develop two GA based algorithms to effectively reduce unnecessary request messages in sender-initiated approach and receiver-initiated approach respectively and then construct an adaptive algorithm for load balancing in a distributed system by combining the two GA based algorithms. The experiments show the proposed GA based adaptive algorithm performs efficiently in the variance of load of the distributed system.