Ant Colony Optimization With Look Forward Ant In Solving Assembly Line Balancing Problem

This work presents an approach based on the ant colony optimization technique to address the assembly line balancing problem. An improved ant colony optimization with look forward ant is proposed to solve the simple assembly line balancing problem of type 1 (SALBP-1). The proposed algorithm introduc...

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Main Authors: Sulaiman, Mohd Nor Irman, Choo, Yun Huoy, Chong, Kuan Eng
Format: Conference or Workshop Item
Language:English
Published: 2011
Online Access:http://eprints.utem.edu.my/id/eprint/145/
http://eprints.utem.edu.my/id/eprint/145/1/OptimizingRoughReductsWithANewHybridPSOACOApproach_IEEE.pdf
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author Sulaiman, Mohd Nor Irman
Choo, Yun Huoy
Chong, Kuan Eng
author_facet Sulaiman, Mohd Nor Irman
Choo, Yun Huoy
Chong, Kuan Eng
author_sort Sulaiman, Mohd Nor Irman
building UTeM Institutional Repository
collection Online Access
description This work presents an approach based on the ant colony optimization technique to address the assembly line balancing problem. An improved ant colony optimization with look forward ant is proposed to solve the simple assembly line balancing problem of type 1 (SALBP-1). The proposed algorithm introduces an approach to dynamically assign the value of priority rule or heuristic information during the task selection phase by allowing the ant to look forward its direct successors during the consideration in selecting a task to be assigned into a workstation. The proposed algorithm is tested and compared with literature data sets and the result from the proposed algorithm shows competitive performance against them.
first_indexed 2025-11-15T19:45:41Z
format Conference or Workshop Item
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institution Universiti Teknikal Malaysia Melaka
institution_category Local University
language English
last_indexed 2025-11-15T19:45:41Z
publishDate 2011
recordtype eprints
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spelling utem-1452023-05-23T16:02:38Z http://eprints.utem.edu.my/id/eprint/145/ Ant Colony Optimization With Look Forward Ant In Solving Assembly Line Balancing Problem Sulaiman, Mohd Nor Irman Choo, Yun Huoy Chong, Kuan Eng This work presents an approach based on the ant colony optimization technique to address the assembly line balancing problem. An improved ant colony optimization with look forward ant is proposed to solve the simple assembly line balancing problem of type 1 (SALBP-1). The proposed algorithm introduces an approach to dynamically assign the value of priority rule or heuristic information during the task selection phase by allowing the ant to look forward its direct successors during the consideration in selecting a task to be assigned into a workstation. The proposed algorithm is tested and compared with literature data sets and the result from the proposed algorithm shows competitive performance against them. 2011 Conference or Workshop Item PeerReviewed text en http://eprints.utem.edu.my/id/eprint/145/1/OptimizingRoughReductsWithANewHybridPSOACOApproach_IEEE.pdf Sulaiman, Mohd Nor Irman and Choo, Yun Huoy and Chong, Kuan Eng (2011) Ant Colony Optimization With Look Forward Ant In Solving Assembly Line Balancing Problem. In: 3rd Conference On Data Mining And Optimization (DMO), 28-29 June 2011, Selangor, Malaysia. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5976514
spellingShingle Sulaiman, Mohd Nor Irman
Choo, Yun Huoy
Chong, Kuan Eng
Ant Colony Optimization With Look Forward Ant In Solving Assembly Line Balancing Problem
title Ant Colony Optimization With Look Forward Ant In Solving Assembly Line Balancing Problem
title_full Ant Colony Optimization With Look Forward Ant In Solving Assembly Line Balancing Problem
title_fullStr Ant Colony Optimization With Look Forward Ant In Solving Assembly Line Balancing Problem
title_full_unstemmed Ant Colony Optimization With Look Forward Ant In Solving Assembly Line Balancing Problem
title_short Ant Colony Optimization With Look Forward Ant In Solving Assembly Line Balancing Problem
title_sort ant colony optimization with look forward ant in solving assembly line balancing problem
url http://eprints.utem.edu.my/id/eprint/145/
http://eprints.utem.edu.my/id/eprint/145/
http://eprints.utem.edu.my/id/eprint/145/1/OptimizingRoughReductsWithANewHybridPSOACOApproach_IEEE.pdf