Cover Image

Hybrid Optimization Techniques for Optimization in a Fuzzy Environment

The fuzzy technology reveals that everything is a matter of degree. At the moment, many industrial production problems are solved by operational research optimization techniques. These techniques are performed under the consideration of some real assumptions. In current studies, we still have severa...

Full description

Saved in:
Bibliographic Details
Main Authors: Elamvazuthi, I., Vasant, P., Ganesan, T.
Format: Article
Published: 2013
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84885453891&doi=10.1007%2f978-3-642-30504-7_40&partnerID=40&md5=82ca3ad4e58cdc549fa6d9e5e3535ee6
http://eprints.utp.edu.my/32742/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utp.eprints.32742
record_format eprints
spelling my.utp.eprints.327422022-03-30T01:05:33Z Hybrid Optimization Techniques for Optimization in a Fuzzy Environment Elamvazuthi, I. Vasant, P. Ganesan, T. The fuzzy technology reveals that everything is a matter of degree. At the moment, many industrial production problems are solved by operational research optimization techniques. These techniques are performed under the consideration of some real assumptions. In current studies, we still have several problems that require the application of fuzzy linear, non-linear, non-continues and other mathematical programming techniques. The prime objective of this chapter is to investigate a new application to the literature and to solve the crude oil refinery production problem by using the hybrid optimization techniques such as; Tabu Search (TS), Hopfield Recurrent Artificial Neural Network (HRANN) and fuzzy approaches. In this work, the real-world problem of the refinery model (which has been developed in (Gunes, 2000)) was solved using various optimization techniques. Thorough comparative studies and results analysis was carried out as well. The final findings reveal that the hybrid optimization technique provides better, robust, efficient, flexible and stable solutions. © Springer-Verlag Berlin Heidelberg 2013. 2013 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84885453891&doi=10.1007%2f978-3-642-30504-7_40&partnerID=40&md5=82ca3ad4e58cdc549fa6d9e5e3535ee6 Elamvazuthi, I. and Vasant, P. and Ganesan, T. (2013) Hybrid Optimization Techniques for Optimization in a Fuzzy Environment. Intelligent Systems Reference Library, 38 . pp. 1025-1046. http://eprints.utp.edu.my/32742/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description The fuzzy technology reveals that everything is a matter of degree. At the moment, many industrial production problems are solved by operational research optimization techniques. These techniques are performed under the consideration of some real assumptions. In current studies, we still have several problems that require the application of fuzzy linear, non-linear, non-continues and other mathematical programming techniques. The prime objective of this chapter is to investigate a new application to the literature and to solve the crude oil refinery production problem by using the hybrid optimization techniques such as; Tabu Search (TS), Hopfield Recurrent Artificial Neural Network (HRANN) and fuzzy approaches. In this work, the real-world problem of the refinery model (which has been developed in (Gunes, 2000)) was solved using various optimization techniques. Thorough comparative studies and results analysis was carried out as well. The final findings reveal that the hybrid optimization technique provides better, robust, efficient, flexible and stable solutions. © Springer-Verlag Berlin Heidelberg 2013.
format Article
author Elamvazuthi, I.
Vasant, P.
Ganesan, T.
spellingShingle Elamvazuthi, I.
Vasant, P.
Ganesan, T.
Hybrid Optimization Techniques for Optimization in a Fuzzy Environment
author_facet Elamvazuthi, I.
Vasant, P.
Ganesan, T.
author_sort Elamvazuthi, I.
title Hybrid Optimization Techniques for Optimization in a Fuzzy Environment
title_short Hybrid Optimization Techniques for Optimization in a Fuzzy Environment
title_full Hybrid Optimization Techniques for Optimization in a Fuzzy Environment
title_fullStr Hybrid Optimization Techniques for Optimization in a Fuzzy Environment
title_full_unstemmed Hybrid Optimization Techniques for Optimization in a Fuzzy Environment
title_sort hybrid optimization techniques for optimization in a fuzzy environment
publishDate 2013
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84885453891&doi=10.1007%2f978-3-642-30504-7_40&partnerID=40&md5=82ca3ad4e58cdc549fa6d9e5e3535ee6
http://eprints.utp.edu.my/32742/
_version_ 1738657429409759232
score 13.244404

Similar Items