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- W1978456424 abstract "Routing problem is one of the important research issues in communication network fields. In this paper, we consider a bicriteria shortest path routing (bSPR) model dedicated to calculating nondominated paths for (1) the minimum total cost and (2) the minimum transmission delay. To solve this bSPR problem, we propose a new multiobj ective genetic algorithm (moGA): (1) an efficient chromosome representation using the priority-based encoding method; (2) a new operator of GA parameters auto-tuning, is adaptively regulation of exploration and exploitation based on the change of the average fitness of parents and offspring which is occurred at each generation; and (3) an interactive adaptive-weight fitness assignment mechanism is implemented that assigns weights to each objective and combines the weighted objectives into a single objective function. Numerical experiments with various scales of network design problems show the effectiveness and the efficiency of our approach by comparing with the recent researches." @default.
- W1978456424 created "2016-06-24" @default.
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- W1978456424 date "2007-09-01" @default.
- W1978456424 modified "2023-09-25" @default.
- W1978456424 title "A bicriteria shortest path routing problems by hybrid genetic algorithm in communication networks" @default.
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- W1978456424 doi "https://doi.org/10.1109/cec.2007.4425071" @default.
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