Artificial Bee Colony for Solving Multi-Objectives Three-Dimensional Knapsack Problem

© 2020 ACM. The objectives of this research aim to apply the mathematical model, to propose an Artificial Bee Colony for Solving Three-Dimensional Knapsack Problem and to determine the optimal parameters of an Artificial Bee Colony Algorithm. This work application of heuristic approach is used for o...

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Main Authors: Suriya Phongmoo, Komgrit Leksakul, Pongsawat Premphet
Format: Conference Proceeding
Published: 2020
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Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85088586257&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/70434
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-704342020-10-14T08:30:25Z Artificial Bee Colony for Solving Multi-Objectives Three-Dimensional Knapsack Problem Suriya Phongmoo Komgrit Leksakul Pongsawat Premphet Computer Science © 2020 ACM. The objectives of this research aim to apply the mathematical model, to propose an Artificial Bee Colony for Solving Three-Dimensional Knapsack Problem and to determine the optimal parameters of an Artificial Bee Colony Algorithm. This work application of heuristic approach is used for optimizing containers loading problem and we has a contract with logistic and transport company in the northern of Thailand to joint on this research. For the containers loading problem are the Three-Dimensional Knapsack Problem and it will be solving the real problem within the supporting of logistic and transport company in the northern of Thailand. However we deal with Nim See Seng Transport 1988 Co., Ltd cause of they are the big transportation company in the north of Thailand. The result of this research will be comparing between performance of the result in OR-Library which is a database that collects the best optimal solution data about Three-Dimensional Knapsack Problem and Artificial Bee Colony Algorithm, on the other hand Artificial Bee Colony Algorithm will be provides the good solutions within the satisfaction computer runtime, maximize profit, minimize empty space and respond to customers satisfaction also. 2020-10-14T08:30:25Z 2020-10-14T08:30:25Z 2020-04-15 Conference Proceeding 2-s2.0-85088586257 10.1145/3397056.3397087 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85088586257&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/70434
institution Chiang Mai University
building Chiang Mai University Library
continent Asia
country Thailand
Thailand
content_provider Chiang Mai University Library
collection CMU Intellectual Repository
topic Computer Science
spellingShingle Computer Science
Suriya Phongmoo
Komgrit Leksakul
Pongsawat Premphet
Artificial Bee Colony for Solving Multi-Objectives Three-Dimensional Knapsack Problem
description © 2020 ACM. The objectives of this research aim to apply the mathematical model, to propose an Artificial Bee Colony for Solving Three-Dimensional Knapsack Problem and to determine the optimal parameters of an Artificial Bee Colony Algorithm. This work application of heuristic approach is used for optimizing containers loading problem and we has a contract with logistic and transport company in the northern of Thailand to joint on this research. For the containers loading problem are the Three-Dimensional Knapsack Problem and it will be solving the real problem within the supporting of logistic and transport company in the northern of Thailand. However we deal with Nim See Seng Transport 1988 Co., Ltd cause of they are the big transportation company in the north of Thailand. The result of this research will be comparing between performance of the result in OR-Library which is a database that collects the best optimal solution data about Three-Dimensional Knapsack Problem and Artificial Bee Colony Algorithm, on the other hand Artificial Bee Colony Algorithm will be provides the good solutions within the satisfaction computer runtime, maximize profit, minimize empty space and respond to customers satisfaction also.
format Conference Proceeding
author Suriya Phongmoo
Komgrit Leksakul
Pongsawat Premphet
author_facet Suriya Phongmoo
Komgrit Leksakul
Pongsawat Premphet
author_sort Suriya Phongmoo
title Artificial Bee Colony for Solving Multi-Objectives Three-Dimensional Knapsack Problem
title_short Artificial Bee Colony for Solving Multi-Objectives Three-Dimensional Knapsack Problem
title_full Artificial Bee Colony for Solving Multi-Objectives Three-Dimensional Knapsack Problem
title_fullStr Artificial Bee Colony for Solving Multi-Objectives Three-Dimensional Knapsack Problem
title_full_unstemmed Artificial Bee Colony for Solving Multi-Objectives Three-Dimensional Knapsack Problem
title_sort artificial bee colony for solving multi-objectives three-dimensional knapsack problem
publishDate 2020
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85088586257&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/70434
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