Multiple Objective Optimization of Green Logistics Using Cuckoo Searching Algorithm

Multiple Objective Optimization of Green Logistics Using Cuckoo Searching Algorithm

Green Logistics becomes critical in Supply Chain Management due to it having less of an impact to the environment. Green Logistics optimization refers to the determination depot quantity, decreasing uncovered demand and CO2 emission reduction. To date, application of Cuckoo searching algorithm has...

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Bibliographic Details
Main Authors: Wang, Wei, Liu, Yao
Format: Conference or Workshop Item
Language:English
Published: 2016
Subjects:
HD Industries. Land use. Labor
Online Access:http://umpir.ump.edu.my/id/eprint/14864/
http://umpir.ump.edu.my/id/eprint/14864/
http://umpir.ump.edu.my/id/eprint/14864/1/P002%20pg10-21.pdf
id ump-14864
recordtype eprints
spelling ump-148642017-03-29T03:12:47Z http://umpir.ump.edu.my/id/eprint/14864/ Multiple Objective Optimization of Green Logistics Using Cuckoo Searching Algorithm Wang, Wei Liu, Yao HD Industries. Land use. Labor Green Logistics becomes critical in Supply Chain Management due to it having less of an impact to the environment. Green Logistics optimization refers to the determination depot quantity, decreasing uncovered demand and CO2 emission reduction. To date, application of Cuckoo searching algorithm has been proven to be very efficient and reliable in solving optimization problems; it is also capable of operating simultaneously with multiple solutions. Basically, Cuckoo searching algorithm imitates the natural evolution of a population with initial solutions. In this paper, a modified Cuckoo searching algorithm is proposed to solve the multiple objective Green Logistics optimization problem. MATLAB software is used to validate and evaluate the proposed model. This work forms the basis for solving many other similar problems that occur in manufacturing and service industries. The final solution to this multiple objective problem is reached by using a set of Pareto solutions. 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/14864/1/P002%20pg10-21.pdf Wang, Wei and Liu, Yao (2016) Multiple Objective Optimization of Green Logistics Using Cuckoo Searching Algorithm. In: Proceedings of The National Conference for Postgraduate Research (NCON-PGR 2016), 24-25 September 2016 , Universiti Malaysia Pahang (UMP), Pekan, Pahang. pp. 10-21.. http://ee.ump.edu.my/ncon/
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic HD Industries. Land use. Labor
spellingShingle HD Industries. Land use. Labor
Wang, Wei
Liu, Yao
Multiple Objective Optimization of Green Logistics Using Cuckoo Searching Algorithm
description Green Logistics becomes critical in Supply Chain Management due to it having less of an impact to the environment. Green Logistics optimization refers to the determination depot quantity, decreasing uncovered demand and CO2 emission reduction. To date, application of Cuckoo searching algorithm has been proven to be very efficient and reliable in solving optimization problems; it is also capable of operating simultaneously with multiple solutions. Basically, Cuckoo searching algorithm imitates the natural evolution of a population with initial solutions. In this paper, a modified Cuckoo searching algorithm is proposed to solve the multiple objective Green Logistics optimization problem. MATLAB software is used to validate and evaluate the proposed model. This work forms the basis for solving many other similar problems that occur in manufacturing and service industries. The final solution to this multiple objective problem is reached by using a set of Pareto solutions.
format Conference or Workshop Item
author Wang, Wei
Liu, Yao
author_facet Wang, Wei
Liu, Yao
author_sort Wang, Wei
title Multiple Objective Optimization of Green Logistics Using Cuckoo Searching Algorithm
title_short Multiple Objective Optimization of Green Logistics Using Cuckoo Searching Algorithm
title_full Multiple Objective Optimization of Green Logistics Using Cuckoo Searching Algorithm
title_fullStr Multiple Objective Optimization of Green Logistics Using Cuckoo Searching Algorithm
title_full_unstemmed Multiple Objective Optimization of Green Logistics Using Cuckoo Searching Algorithm
title_sort multiple objective optimization of green logistics using cuckoo searching algorithm
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/14864/
http://umpir.ump.edu.my/id/eprint/14864/
http://umpir.ump.edu.my/id/eprint/14864/1/P002%20pg10-21.pdf
first_indexed 2023-09-18T22:19:05Z
last_indexed 2023-09-18T22:19:05Z
_version_ 1777415535566258176

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