Multi-objective Pareto adaptive algorithm for capacitated lot-sizing problems in glass lens production

Wen Hsien Ho; Yu Hsien Chiu; Yenming J. Chen

doi:10.1016/j.apm.2017.09.030

Multi-objective Pareto adaptive algorithm for capacitated lot-sizing problems in glass lens production

Wen Hsien Ho
, Yu Hsien Chiu
, Yenming J. Chen

Department of Computer Science and Information Engineering

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Abstract

An island artificial immune algorithm based on the nonautonomous Lotka−Volterra equation is used to establish an adaptive algorithm for solving multi-objective Pareto capacitated lot-sizing problems in glass lens production under multiple constraints. Solving this complex nonlinear problem requires computations such as optimizing the use of production resources to meet customer demand while maximizing performance and competitiveness. The satisfactory experimental results obtained in this show that the proposed algorithm can be used to simplify the decision-making process when selecting lot sizes in glass lens production and other manufacturing processes.

Original language	English
Pages (from-to)	731-738
Number of pages	8
Journal	Applied Mathematical Modelling
Volume	53
DOIs	https://doi.org/10.1016/j.apm.2017.09.030
Publication status	Published - 2018 Jan

All Science Journal Classification (ASJC) codes

Modelling and Simulation
Applied Mathematics

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10.1016/j.apm.2017.09.030

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abstract = "An island artificial immune algorithm based on the nonautonomous Lotka−Volterra equation is used to establish an adaptive algorithm for solving multi-objective Pareto capacitated lot-sizing problems in glass lens production under multiple constraints. Solving this complex nonlinear problem requires computations such as optimizing the use of production resources to meet customer demand while maximizing performance and competitiveness. The satisfactory experimental results obtained in this show that the proposed algorithm can be used to simplify the decision-making process when selecting lot sizes in glass lens production and other manufacturing processes.",

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AU - Chen, Yenming J.

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N2 - An island artificial immune algorithm based on the nonautonomous Lotka−Volterra equation is used to establish an adaptive algorithm for solving multi-objective Pareto capacitated lot-sizing problems in glass lens production under multiple constraints. Solving this complex nonlinear problem requires computations such as optimizing the use of production resources to meet customer demand while maximizing performance and competitiveness. The satisfactory experimental results obtained in this show that the proposed algorithm can be used to simplify the decision-making process when selecting lot sizes in glass lens production and other manufacturing processes.

AB - An island artificial immune algorithm based on the nonautonomous Lotka−Volterra equation is used to establish an adaptive algorithm for solving multi-objective Pareto capacitated lot-sizing problems in glass lens production under multiple constraints. Solving this complex nonlinear problem requires computations such as optimizing the use of production resources to meet customer demand while maximizing performance and competitiveness. The satisfactory experimental results obtained in this show that the proposed algorithm can be used to simplify the decision-making process when selecting lot sizes in glass lens production and other manufacturing processes.

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Multi-objective Pareto adaptive algorithm for capacitated lot-sizing problems in glass lens production

Abstract

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