An Improved Compact Genetic Algorithm for Scheduling Problems in a Flexible Flow Shop with a Multi-Queue Buffer
نویسندگان
چکیده
منابع مشابه
A multi-objective genetic algorithm (MOGA) for hybrid flow shop scheduling problem with assembly operation
Scheduling for a two-stage production system is one of the most common problems in production management. In this production system, a number of products are produced and each product is assembled from a set of parts. The parts are produced in the first stage that is a fabrication stage and then they are assembled in the second stage that usually is an assembly stage. In this article, the first...
متن کاملA Simulated Annealing Algorithm for Multi Objective Flexible Job Shop Scheduling with Overlapping in Operations
In this paper, we considered solving approaches to flexible job shop problems. Makespan is not a good evaluation criterion with overlapping in operations assumption. Accordingly, in addition to makespan, we used total machine work loading time and critical machine work loading time as evaluation criteria. As overlapping in operations is a practical assumption in chemical, petrochemical, and gla...
متن کاملImproved teaching–learning-based and JAYA optimization algorithms for solving flexible flow shop scheduling problems
Flexible flow shop (or a hybrid flow shop) scheduling problem is an extension of classical flow shop scheduling problem. In a simple flow shop configuration, a job having ‘g’ operations is performed on ‘g’ operation centres (stages) with each stage having only one machine. If any stage contains more than one machine for providing alternate processing facility, then the problem...
متن کاملA New Multi-objective Job Shop Scheduling with Setup Times Using a Hybrid Genetic Algorithm
This paper presents a new multi objective job shop scheduling with sequence-dependent setup times. The objectives are to minimize the makespan and sum of the earliness and tardiness of jobs in a time window. A mixed integer programming model is developed for the given problem that belongs to NP-hard class. In this case, traditional approaches cannot reach to an optimal solution in a reasonable...
متن کاملA genetic algorithm for flow shop scheduling problems
We propose a Genetic Algorithm for scheduling multiprocessor tasks in multi-stage flow-shop environments. We present two special crossover operators that we developed for this particular problem, together with the implementation of mutation operators as well as a partial reshuffling procedure. We conclude with the results of our computational experiments. 1. Problem Definition We consider multi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Processes
سال: 2019
ISSN: 2227-9717
DOI: 10.3390/pr7050302