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For the problems to minimize the sum of earliness penalties and resource constrained problems, the optimal algorithms are given.

对目标函数为极小化提前惩罚和问题和资源约束问题给出了最优算法。

The study of earliness/tardiness scheduling problems corresponds to this tendency.

提前/拖期调度问题的研究就是顺应了这种趋势。

The objective of this work was to study the effects of N and P supply to various root volumes on pepper seedling development and growth in the nursery, and fruit yield and harvest earliness in the field.

这项工作的目标是研究氮和磷供应充足时,在苗圃里各种不同体积的根在辣椒幼苗生长发育,和果实产量和收获提前的影响。

A dual resources-based scheduling problem of flexible production systems is studied with an objective of minimizing earliness and tardiness penalties.

本文以提前/延期惩罚最小为目标,进行了基于双重资源的柔性生产系统调度问题的研究。

This paper is concerned with single machine problem about due window, the objective function concludes earliness/tardiness penalties and additional penalties.

本文对交货期窗口下的单机作业问题进行了研究,目标函数不仅考虑提前/拖期惩罚,还考虑附加惩罚。

Genetic algorithm and three kinds of hybrid genetic algorithms are presented for parallel machines earliness/tardiness production line scheduling problem.

三。对并行机器生产线提前/拖后调度问题提出了遗传算法和三种混合遗传算法(基于进化交叉的遗传算法、基于模拟退火的遗传算法、基于进化交叉及模拟退火的遗传算法)。

In order to solve non-identical parallel machine earliness/tardiness scheduling problem with different due windows,a hybrid genetic algorithm based on sectional coding is suggested.

为有效地解决不同交货期窗口下的非等同并行多机提前/拖后调度问题,设计了一种分段编码的混合遗传算法。

Identical parallel machine earliness/tardiness scheduling problem with common due-date is studied.

摘要研究了带有公共交货期的并行多机提前/拖后调度问题。

This paper discusses the problem in whicn n jobs with ready times and deadlines are to be processed on a single machine. The objective is to find a sequence so as to minimize the maximum earliness.

本文讨论了带截止期限与准备时间的n个工件需在单机上加工,目标是寻找一个可行排序,使得最大提前完工时间最小。

Furthermore, to counter the uncertainty of the processing time in the practical production process, this paper builds a single machine earliness/tardiness with fuzzy processing time.

本文针对实际加工过程中作业时间的不确定性,研究了任务加工时间为模糊区间的单机提前/拖期问题,提出采用模拟退火算法对该模型进行求解,仿真结果表明,该方法具有较强的实用性。

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