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- W1972283285 abstract "Existing optimization approaches adopt a full evaluation policy, i.e. all the constraints corresponding to a solution are evaluated throughout the course of search. Furthermore, a common sequence of constraint evaluation is used for all the solutions. In this paper, we introduce a scheme of constraint handling, wherein every solution is assigned a random sequence of constraints and the evaluation process is aborted whenever a constraint is violated. The solutions are sorted based on two measures i.e. the number of satisfied constraints and the violation measure. The number of satisfied constraints takes a precedence over the amount of violation. We illustrate the performance of the proposed scheme and compare it with other state-of-the-art constraint handling methods within a framework of differential evolution. The results are compared using gseries test functions for inequality constraints. The results clearly highlight the potential savings offered by the proposed method" @default.
- W1972283285 created "2016-06-24" @default.
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- W1972283285 date "2013-07-06" @default.
- W1972283285 modified "2023-09-26" @default.
- W1972283285 title "An efficient constraint handling approach for optimization problems with limited feasibility and computationally expensive constraint evaluations" @default.
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- W1972283285 doi "https://doi.org/10.1145/2464576.2464633" @default.
- W1972283285 hasPublicationYear "2013" @default.
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