基于改进的多目标离散教与学优化算法的有限弹性工人柔性作业车间调度

IF 2 3区工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY

Optimization and Engineering Pub Date : 2023-09-21 DOI:10.1007/s11081-023-09842-8

Shaban Usman, Cong Lu, Guanyang Gao

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Flexible job-shop scheduling with limited flexible workers using an improved multiobjective discrete teaching–learning based optimization algorithm

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Flexible job-shop scheduling with limited flexible workers using an improved multiobjective discrete teaching–learning based optimization algorithm

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来源期刊

Optimization and Engineering 工程技术-工程：综合

CiteScore

4.80

自引率

14.30%

发文量

审稿时长

>12 weeks

期刊介绍： Optimization and Engineering is a multidisciplinary journal; its primary goal is to promote the application of optimization methods in the general area of engineering sciences. We expect submissions to OPTE not only to make a significant optimization contribution but also to impact a specific engineering application. Topics of Interest: -Optimization: All methods and algorithms of mathematical optimization, including blackbox and derivative-free optimization, continuous optimization, discrete optimization, global optimization, linear and conic optimization, multiobjective optimization, PDE-constrained optimization & control, and stochastic optimization. Numerical and implementation issues, optimization software, benchmarking, and case studies. -Engineering Sciences: Aerospace engineering, biomedical engineering, chemical & process engineering, civil, environmental, & architectural engineering, electrical engineering, financial engineering, geosciences, healthcare engineering, industrial & systems engineering, mechanical engineering & MDO, and robotics.