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- W2388049574 abstract "Several heuristic approaches have been proposed to solve the job-shop scheduling problem(JSSP).But most of them are limited to single objective and fail in real-world applications,which naturally involve multiple objectives.Presents an improved ant colony algorithm for solving multi-objective JSSP,searching for near-optimal solutions heuristically and optimizing multiple objectives simultaneously.By improving the transfer probability,pheromone update mode,and combining of cross-optimum to make sure that this algorithm can accelerate convergence rate and avoid falling into local optima simultaneity.Simulation results show that the proposed method is effective,and succeed in solving JSSP of multiple objectives." @default.
- W2388049574 created "2016-06-24" @default.
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- W2388049574 date "2008-01-01" @default.
- W2388049574 modified "2023-09-26" @default.
- W2388049574 title "An Improved Ant Colony Algorithm for MultiObjective Job-Shop Scheduling Problem" @default.
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