Optimization Technique for Flowshop Scheduling Problem

被引：1
|
作者：
Jukuntla, Amar [1 ]
机构：
[1] Vignans Fdn Sci Technol & Res, Dept CSE, Vadlamudi, Andhra Pradesh, India
来源：
ARTIFICIAL INTELLIGENCE AND EVOLUTIONARY COMPUTATIONS IN ENGINEERING SYSTEMS, ICAIECES 2017 | 2018年 / 668卷
关键词：
Optimization; Flowshop scheduling; Shop scheduling; Optimization techniques; Artificial bee colony; Genetic algorithm;
D O I：
10.1007/978-981-10-7868-2_18
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a novel approach for solving flowshop scheduling problem with the objective of minimizing the makespan and maximizes the machine utilization with the help of optimization techniques. Flowshop is used for allocation of resources among the tasks to complete their scheduling process with optimization technique to get a feasible solution. This paper illustrates a proposed method with example and compared with traditional algorithms.
引用
收藏
页码：187 / 193
页数：7
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