Pareto-optimal Load Solutions in the I-Banking by Evolutionary Algorithm
نویسندگان
چکیده
Load balancing of the Web bank servers can be implemented by minimization of the workload of the bottleneck Web server. Load balancing improves both a performance of the system and the safety of the bottleneck computers. An evolutionary algorithm based on a tabu search procedure is discussed for solving multi-criteria optimization problem of finding a set of Pareto-suboptimal task assignments. A tabu mutation is used for minimization the workload of the bottleneck computer. Key-Words: Evolutionary algorithm, multi-criterion optimization, Internet bank systems.
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عنوان ژورنال:
- Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial
دوره 9 شماره
صفحات -
تاریخ انتشار 2005