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首页> 外文会议>The 8th international conference on optimization: Techniques and Applications >A novel PSO based framework incorporating tabu list for product mix problems
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A novel PSO based framework incorporating tabu list for product mix problems

机译：一个基于PSO的新颖框架，并结合了禁忌表来解决产品组合问题

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摘要

The theory of constraints (TOC) is a management philosophy to solve decision making problems with the goal of maximizing throughput by identifying and exploiting the bottleneck. One of the key applications of TOC in manufacturing plants is the product mix problem which is to determine the quantity and category of products to be manufactured. In recent decades, academic researchers and practitioners have made many contributions on product mix problems. Most of approaches abounded in the literature can mainly be classified into two categories. One is heuristic approaches including traditional TOC, revised TOC and etc. The other is named as meta-heuristic approaches such as tabu search, simulated annealing, genetic algorithms, immune algorithms and particle swarm optimization. In this paper, a novel PSO framework incorporating tabu list is proposed to solve product mix problems. Under this framework, the risk of being stuck in local minima can be reduced much more. Comparative studies have been conducted between the proposed framework and five established approaches such as the TOCh, revised TOCh, integer linear programming (ILP), tabu search (TS), and particle. The numerical results show the proposed framework is a useful tool for product mix problems.
机译：约束理论（TOC）是一种解决决策问题的管理哲学，旨在通过识别和利用瓶颈来最大化吞吐量。 TOC在制造工厂中的关键应用之一是产品组合问题，即确定要制造的产品的数量和类别。近几十年来，学术研究人员和从业人员在产品组合问题上做出了许多贡献。文献中充斥着大多数方法，主要可以分为两类。一种是启发式方法，包括传统TOC，修订版TOC等。另一种称为元启发式方法，例如禁忌搜索，模拟退火，遗传算法，免疫算法和粒子群优化。本文提出了一种结合禁忌表的新型PSO框架来解决产品组合问题。在此框架下，可以进一步降低陷入局部极小值的风险。在提议的框架和五种建立的方法（例如TOCh，修订的TOCh，整数线性规划（ILP），禁忌搜索（TS）和粒子）之间进行了比较研究。数值结果表明，所提出的框架是解决产品组合问题的有用工具。

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