A Tool for Rapid Development of Multi-Objective Evolutionary Algorithms (MOEAs) with Application to Facility Location Problems

نویسندگان

  • A. L. Medaglia
  • E. Gutiérrez
  • J. G. Villegas
  • Andrés L. Medaglia
  • Eliécer Gutiérrez
  • Juan Guillermo Villegas
چکیده

A Tool for Rapid Development of Multi-Objective Evolutionary Algorithms (MOEAs) with Application to Facility Location Problems Andrés L. Medaglia [email protected] Eliécer Gutiérrez [email protected] Juan Guillermo Villegas [email protected] Centro para la Optimización y Probabilidad Aplicada http://copa.uniandes.edu.co Departmento de Ingeniería Industrial Universidad de los Andes Bogotá D.C., Colombia ■ Departamento de Ingeniería Industrial Facultad de Ingeniería Universidad de Antioquia Medellín, Colombia

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Facility Location and Inventory Balancing in a Multi-period Multi-echelon Multi-objective Supply Chain: An MOEA Approach

A comprehensive and integrated study of any supply chain (SC) environment is a vital requirement that can create various advantages for the SC owners. This consideration causes productive managing of the SC through its whole wide components from upstream suppliers to downstream retailers and customers.  On this issue, despite many valuable studies reported in the current literature, considerabl...

متن کامل

Multi-objective evolutionary algorithms for a preventive healthcare facility network design

Preventive healthcare aims at reducing the likelihood and severity of potentially life-threatening illnesses by protection and early detection. In this paper, a bi-objective mathematical model is proposed to design a network of preventive healthcare facilities so as to minimize total travel and waiting time as well as establishment and staffing cost. Moreover, each facility acts as M/M/1 queuin...

متن کامل

The balance between proximity and diversity in multiobjective evolutionary algorithms

Over the last decade, a variety of evolutionary algorithms (EAs) have been proposed for solving multi–objective optimization problems. Especially more recent multi–objective evolutionary algorithms (MOEAs) have been shown to be efficient and superior to earlier approaches. In the development of new MOEAs, the strive is to obtain increasingly better performing MOEAs. An important question howeve...

متن کامل

Solving a bi-objective location routing problem by a NSGA-II combined with clustering approach: application in waste collection problem

It is observed that the separated design of location for depots and routing for servicing customers often reach a suboptimal solution. So, solving location and routing problem simultaneously could achieve better results. In this paper, waste collection problem is considered with regard to economic and societal objective functions. A non-dominated sorting genetic algorithm (NSGA-II) is used to l...

متن کامل

Using Metaheuristic Algorithms Combined with Clustering Approach to Solve a Sustainable Waste Collection Problem

Sustainability is a monumental issue that should be considered in designing a logistics system. In order to incorporate sustainability concepts in our study, a waste collection problem with economic, environmental, and social objective functions was addressed. The first objective function minimized overall costs of the system, including establishment of depots and treatment facilities. Addressi...

متن کامل

ذخیره در منابع من


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

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005