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- W2337471488 abstract "Abstract In this paper, we present a binary particle swarm optimization (PSO) algorithm for unconstrained multi-level lot-sizing problem (MLLS), which is a production planning problem in materials requirements planning (MRP) system. The problem aims to find production planning which take the minimization of total setup costs and inventory holding costs. We develop a binary PSO to solve the problems. In our algorithm we firstly randomly find a set of initial solution. Then, we use the particles to find solution according to standard mechanism of PSO. After that, we apply hybrid selection mechanism to restart the algorithm. Hybrid selection is a kind of general restart mechanism in PSO but beside simply restart by randomly generate new solution we introduce good solutions which are generated from standard single level lot sizing problem such as Wagner and Whitin algorithm, Silver and Meal heuristic to combine with the current best solution and resulting of the hybrid selection we will get new population whi..." @default.
- W2337471488 created "2016-06-24" @default.
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- W2337471488 date "2011-01-01" @default.
- W2337471488 modified "2023-09-25" @default.
- W2337471488 title "Solving large unconstrainted multi level lot-sizing problem by a binary particle swarm optimization" @default.
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- W2337471488 doi "https://doi.org/10.1080/17509653.2011.10671156" @default.
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