Maximal workload, minimal workload, maximal workload difference: Optimizing all criteria at once

IF 0.8 4区管理学 Q4 OPERATIONS RESEARCH & MANAGEMENT SCIENCE

Operations Research Letters Pub Date : 2024-03-28 DOI:10.1016/j.orl.2024.107110

Sébastien Deschamps , Frédéric Meunier

引用次数: 0

Abstract

In a simple model of assigning workers to tasks, every solution that minimizes the load difference between the most loaded worker and the least loaded one actually minimizes the maximal load and maximizes the minimal load. This can be seen as a consequence of standard results of optimization over polymatroids. We show that similar phenomena still occur in close models, simple to state, and that do not enjoy any polymatroid structure.

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最大工作量、最小工作量、最大工作量差异：同时优化所有标准

在一个将工人分配到任务的简单模型中，每一个能使工作量最大的工人与工作量最小的工人之间的工作量差最小化的方案，实际上都能使最大工作量最小化，而使最小工作量最大化。这可以看作是多面体优化的标准结果。我们的研究表明，类似的现象仍然会出现在状态简单、不具有多面体结构的近似模型中。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Operations Research Letters 管理科学-运筹学与管理科学

CiteScore

2.10

自引率

9.10%

发文量

111

审稿时长

83 days

期刊介绍： Operations Research Letters is committed to the rapid review and fast publication of short articles on all aspects of operations research and analytics. Apart from a limitation to eight journal pages, quality, originality, relevance and clarity are the only criteria for selecting the papers to be published. ORL covers the broad field of optimization, stochastic models and game theory. Specific areas of interest include networks, routing, location, queueing, scheduling, inventory, reliability, and financial engineering. We wish to explore interfaces with other fields such as life sciences and health care, artificial intelligence and machine learning, energy distribution, and computational social sciences and humanities. Our traditional strength is in methodology, including theory, modelling, algorithms and computational studies. We also welcome novel applications and concise literature reviews.