Sudhir B. Jagtap

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In this paper a hybrid parallel multi-objective genetic algorithm is proposed for solving 0/1 knapsack problem. Multi-objective problems with non-convex and discrete Pareto front can take enormous computation time to converge to the true Pareto front. Hence, the classical multi-objective genetic algorithms (MOGAs) (i.e., non-Parallel MOGAs) may fail to(More)
In this paper a hybrid parallel multi-objective genetic algorithm is proposed for solving 0/1 knapsack problem. Multi-objective problems with non-convex and discrete Pareto front can take enormous computation time to converge to the true Pareto front. Hence, the classical multi-objective genetic algorithms (MOGAs) (i.e., non-Parallel MOGAs) may fail to(More)
This study presents the role of GIS in web mining environment. As the fastest development of the World Wide Web, and the research community emphasis on the current and future issues of Web mining .This area is combination of the activated research areas: Data Mining and World Wide Web. This paper discusses a learning environment of GIS on web mining. Three(More)
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