کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
428742 686904 2008 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An improved particle swarm optimization algorithm for flowshop scheduling problem
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
An improved particle swarm optimization algorithm for flowshop scheduling problem
چکیده انگلیسی

The flowshop scheduling problem has been widely studied and many techniques have been applied to it, but few algorithms based on particle swarm optimization (PSO) have been proposed to solve it. In this paper, an improved PSO algorithm (IPSO) based on the “alldifferent” constraint is proposed to solve the flow shop scheduling problem with the objective of minimizing makespan. It combines the particle swarm optimization algorithm with genetic operators together effectively. When a particle is going to stagnate, the mutation operator is used to search its neighborhood. The proposed algorithm is tested on different scale benchmarks and compared with the recently proposed efficient algorithms. The results show that the proposed IPSO algorithm is more effective and better than the other compared algorithms. It can be used to solve large scale flow shop scheduling problem effectively.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Processing Letters - Volume 108, Issue 4, 31 October 2008, Pages 204-209