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- W2351992051 abstract "Aiming at the multi-page invoice order scheduling problem,a Multi-Objective Hybrid Genetic Algorithm(MOHGA) was presented by minimizing the maximum order completion time,average order completion time,maximum tardiness and average tardiness of all orders.A complete solution generation algorithm was proposed based on the problem characteristic,and a random weight vector was used at each iteration of selection to realize various search directions.To find more and better non-dominated solutions,a local search algorithm based on non-dominated ranking was proposed,and a global non-dominated solution archive was updated to keep the best approximate Pareto solutions.To validate the performance of the proposed algorithm,MOHGA was compared with two prominent multi-objective genetic algorithms based on a Pareto-compliant quality indicator-Hypervolumn.Numerical experiment indicated that a reasonable approximation of Pareto optimal set was obtained by MOHGA." @default.
- W2351992051 created "2016-06-24" @default.
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- W2351992051 date "2012-01-01" @default.
- W2351992051 modified "2023-09-26" @default.
- W2351992051 title "Multi-objective optimization algorithm for multi-page invoice order scheduling problem" @default.
- W2351992051 hasPublicationYear "2012" @default.
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