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- W2126998707 abstract "Goal programming is a technique often used in engineering design activities primarily to find a compromised solution which will simultaneously satisfy a number of design goals. In solving goal programming problems, classical methods reduce the multiple goal-attainment problem into a single objective of minimizing a weighted sum of deviations from goals. In this paper, we pose the goal programming problem as a multi-objective optimization problem of minimizing deviations from individual goals. This procedure eliminates the need of having extra constraints needed with classical formulations and also eliminates the need of any user-defined weight factor for each goal. The proposed technique can also solve goal programming problems having a non-convex trade-off region, which are difficult to solve using classical methods. The efficacy of the proposed method is demonstrated by solving a number of test problems and by solving an engineering design problem. The results suggest that the proposed approach is a unique, effective, and practical tool for solving goal programming problems." @default.
- W2126998707 created "2016-06-24" @default.
- W2126998707 creator A5088394271 @default.
- W2126998707 date "2003-01-20" @default.
- W2126998707 modified "2023-10-14" @default.
- W2126998707 title "Solving goal programming problems using multi-objective genetic algorithms" @default.
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- W2126998707 doi "https://doi.org/10.1109/cec.1999.781910" @default.
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