Effective heuristics and meta-heuristics for the quadratic assignment problem with tuned parameters and analytical comparisons


  • Hossein Karimi Department of Industrial Engineering, Shahed University, Tehran, 3319118651, Iran
  • Mahdi Bashiri Department of Industrial Engineering, Shahed University, Tehran 3319118651, Iran

Quadratic assignment problem (QAP) is a well-known problem in the facility location and layout. It belongs to the NP-complete class. There are many heuristic and meta-heuristic methods, which are presented for QAP in the literature. In this paper, we applied 2-opt, greedy 2-opt, 3-opt, greedy 3-opt, and VNZ as heuristic methods and tabu search (TS), simulated annealing, and particle swarm optimization as meta-heuristic methods for the QAP. This research is dedicated to compare the relative percentage deviation of these solution qualities from the best known solution which is introduced in QAPLIB. Furthermore, a tuning method is applied for meta-heuristic parameters. Results indicate that TS is the best in 31% of QAPs, and the IFLS method, which is in the literature, is the best in 58 % of QAPs; these two methods are the same in 11% of test problems. Also, TS has a better computational time among heuristic and meta-heuristic methods.

برای دانلود باید عضویت طلایی داشته باشید

برای دسترسی به متن کامل این مقاله و 23 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Comparisons of meta-heuristics for the layered digragh drawing problem

In this paper we present a Genetic Algorithm (GA) with problem-specific operators for the layered digraph drawing problem and compare it with two very different meta-heuristics: Tabu search and Multi-start descents. Tabu search has previously proved to be better than the classical deterministic local heuristic often employed in graph drawing. Here, we show on a set of 282 medium-sized graphs th...

متن کامل

Comparative performance of tabu search and simulated annealing heuristics for the quadratic assignment problem

For almost two decades the question of whether tabu search (TS) or simulated annealing (SA) performs better for the quadratic assignment problem has been unresolved. To answer this question satisfactorily, we compare performance at various values of targeted solution quality, running each heuristic at its optimal number of iterations for each target. We find that for a number of varied problem ...

متن کامل

A Comparison of Four Multi-Objective Meta-Heuristics for a Capacitated Location-Routing Problem

In this paper, we study an integrated logistic system where the optimal location of depots and vehicles routing are considered simultaneously. This paper presents a new mathematical model for a multi-objective capacitated location-routing problem with a new set of objectives consisting of the summation of economic costs, summation of social risks and demand satisfaction score. A new multi-objec...

متن کامل

Addressing a fixed charge transportation problem with multi-route and different capacities by novel hybrid meta-heuristics

In most real world application and problems, a homogeneous product is carried from an origin to a destination by using different transportation modes (e.g., road, air, rail and water). This paper investigates a fixed charge transportation problem (FCTP), in which there are different routes with different capacities between suppliers and customers. To solve such a NP-hard problem, four meta-heur...

متن کامل

Effective heuristics for the Set Covering with Pairs Problem

This paper deals with the Set Covering with Pairs Problem (SCPP). This problem is a generalization of the Set Covering Problem (SCP), which is known to be NP-hard. The difference between both problems is that, in the SCPP, one element of the universe is admitted to be covered if there are at least two specific objects chosen to cover it. In this context, three constructive heuristics, one local...

متن کامل

ذخیره در منابع من

ذخیره در منابع من قبلا به منابع من ذحیره شده

{@ msg_add @}

  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

دانلود متن کامل

برای دسترسی به متن کامل این مقاله و 23 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 8  شماره 1

صفحات  -

تاریخ انتشار 2012-01-01

با دنبال کردن یک ژورنال هنگامی که شماره جدید این ژورنال منتشر می شود به شما از طریق ایمیل اطلاع داده می شود.

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2022