A New Optimization via Invasive Weeds Algorithm for Dynamic Facility Layout Problem

Abstract:
The dynamic facility layout problem (DFLP) is the problem of finding positions of departments on the plant floor for multiple periods (material flows between departments change during the planning horizon) such that departments do not overlap, and the sum of the material handling and rearrangement costs is minimized. In this paper a new optimization algorithm inspired from colonizing weeds, Invasive Weeds Optimization (IWO) is utilized to solve the well-known DFLP. IWO is a simple algorithm which uses basic characteristics of a colony of weeds such as proliferation, growth and competition. A set of reference numerical problems is taken in order to evaluate the efficiency of the algorithm compared with the Dynamic Programming method which had been applied to solve the addressed problem. In order to verify the efficiency of the proposed algorithm a wide range of experiments are carried out to compare the proposed algorithm. Computational results have indicated that the DIWO algorithm is capable of obtaining optimal solutions for small and medium-scaled problems very efficiently.
Language:
English
Published:
Journal of Quality Engineering and Production Optimization, Volume:1 Issue: 1, Winter - Spring 2015
Pages:
11 to 20
magiran.com/p1513903  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 1,390,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!