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Multiobjective optimization algorithms generate a set of Pareto optimal points which are all equivalent. However, as per the Decision Maker (DM), a number of these solutions are unacceptable. In this paper, we propose two methods to obtain a subset of the Pareto front on the basis of the amount of loss a DM is ready to bear while compromising for a Pareto solution. For this, we introduce two different...
In multiobjective optimization problem, a substantial number of solutions generated along the Pareto front are unacceptable to the decision maker. In this paper, we propose a variation of the concept of Pareto dominance by using a penalty based Multi Objective Genetic Algorithm which attempts to obtain the nondominated set of Pareto solutions within the acceptable region for decision maker. A Relenting...
The objective of this paper is to find solution to the dynamic vehicle traffic routing which substantially differs from the classical vehicle routing problem in the sense of constraints and area of application. Dynamic vehicle routing address the problem of finding the least time consumable path considering change in traffic condition dynamically in our day to day traffic. Due to the complex nature...
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