A Discrete Group Search Optimizer for Hybrid Flowshop Scheduling Problem with Random Breakdown
نویسندگان
چکیده
منابع مشابه
A Two-Stage Hybrid Flowshop Scheduling Problem with Serial Batching
In this paper the problem of serial batch scheduling in a two-stage hybrid flow shop environment with minimizing Makesapn is studied. In serial batching it is assumed that jobs in a batch are processed serially, and their completion time is defined to be equal to the finishing time of the last job in the batch. The analysis and implementation of the prohibited transference of jobs among the mac...
متن کاملHybrid Flowshop Scheduling Using Discrete Harmony Search And Genetic Algorithm
In this paper a hybrid genetic and harmony search algorithm is proposed to find the possible best sequence of operation solutions for hybrid flow shop scheduling problems. In this work the problem is considered with respect to the objective of minimization of makespan. Hybrid flow shop scheduling problem is considered for the sequencing of jobs in a hybrid flow shop with two or more identical m...
متن کاملAppling Metaheuristic Algorithms on a Two Stage Hybrid Flowshop Scheduling Problem with Serial Batching (RESEARCH NOTE)
In this paper the problem of serial batch scheduling in a two-stage hybrid flow shop environment with minimizing Makesapn is investigated. In serial batching it is assumed that jobs in a batch are processed serially, and their completion time is defined to be equal to the finishing time of the last job in the batch. The analysis and implementation of the prohibited transference of jobs among th...
متن کاملHybrid Taguchi-based Genetic Algorithm for Flowshop Scheduling Problem
A hybrid Taguchi-based genetic algorithm (HTGA) is developed for solving multi-objective flowshop scheduling problems (FSPs). Search performance is improved by using Taguchi-based crossover to avoid scheduling conflicts, and dynamic weights are randomly selected by a fuzzy inference system. The conventional approach to selecting dynamic weights randomly ignores small value for the objective whe...
متن کاملMLS+CP for the hybrid flowshop scheduling problem
A constraint programming based branch-and-bound algorithm is embedded into a memetic algorithm to solve multiprocessor task scheduling problem in hybrid flow-shop environments. Both methods are able to solve the problem by themselves but the combination of the two allows to solve larger problem in a shorter amount of time. Computational experiments are conducted on a large set of instances and ...
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: Mathematical Problems in Engineering
سال: 2014
ISSN: 1024-123X,1563-5147
DOI: 10.1155/2014/621393