Title : ( Fuzzy job-shop scheduling problem with Genetic algorithm )
Authors: zohreh davarzani , Mehdi ziari , Mohammad Reza Akbarzadeh Totonchi ,
دانلود فایل برای اعضای دانشگاهAccess to full-text not allowed by authors
Abstract
In this paper, by considering the uncertainty or fuzzy nature of the data in real-world problems, job shop scheduling (JSSP) with fuzzy processing time is introduced. The processing times can be uncertain and this uncertainty is very important for the scheduling problems. In this method, imprecise processing times are modelled as triangular fuzzy numbers (TFNs). TFNs results in a triangular fuzzy number called fuzzy makespan. Makespan is the time that needed for completion all the jobs on the machines. Then by genetic algorithm as one of optimization techniques, the fuzzy makespan is minimized.
Keywords
, fuzzy processing time, JSSP, makespan, TFN
@inproceedings{paperid:1026787,
author = {Davarzani, Zohreh and Mehdi Ziari and Akbarzadeh Totonchi, Mohammad Reza},
title = {Fuzzy job-shop scheduling problem with Genetic algorithm},
booktitle = {دهمین کنفرانس سیستم های فازی ایران},
year = {2010},
location = {تهران, IRAN},
keywords = {fuzzy processing time; JSSP; makespan; TFN},
}
%0 Conference Proceedings
%T Fuzzy job-shop scheduling problem with Genetic algorithm
%A Davarzani, Zohreh
%A Mehdi Ziari
%A Akbarzadeh Totonchi, Mohammad Reza
%J دهمین کنفرانس سیستم های فازی ایران
%D 2010
