Bees algorithm for Forest transportation planning optimization in Malaysia
Algorithm is widely used in various areas due to its ability to solve classes of problems. Due to multiple objectives to be met and varied algorithm application in this digital era, addressing the problem-solving optimization in a more efficient and effective way has become more reasonable. Forest t...
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| Format: | Article |
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Taylor and Francis
2021
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| _version_ | 1825937676896829440 |
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| author | Jamaluddin, Jamhuri Kamarudin, Norizah Ismail, Mohd Hasmadi Ahmad, Siti Azfanizam |
| author_facet | Jamaluddin, Jamhuri Kamarudin, Norizah Ismail, Mohd Hasmadi Ahmad, Siti Azfanizam |
| author_sort | Jamaluddin, Jamhuri |
| collection | UPM |
| description | Algorithm is widely used in various areas due to its ability to solve classes of problems. Due to multiple objectives to be met and varied algorithm application in this digital era, addressing the problem-solving optimization in a more efficient and effective way has become more reasonable. Forest transportation planning is one of the most expensive activities in timber harvesting and can be optimized through algorithm application. Forest transportation planning is a vital component of timber harvesting activities. Inappropriate planning may raise the overall costs of harvesting activities. This paper aims to give an overview of several algorithm application in optimizing the forest transportation planning problem and give an insightful information regarding the relationships between algorithm and the integration of transportation system characteristics and variables. Examples of algorithm that are finding their way to the forest transportation planning problem include Genetic Algorithm (GA), Particle Swarm Optimization (PSO) algorithm, Ant Colony Optimization (ACO) algorithm, Simulated Annealing (SA) algorithm and Tabu Search (TS) algorithm. Although no literature was found regarding forest transportation planning problem optimization with regards to Bees Algorithm (BA), rules set for several transportation problem evidenced from literature search seems to be applicable to forestry. Generally, in this paper, the BA has been given focus for forest transportation planning problem optimization as a potential algorithm to overcome the challenges of environmental degradation and efficiency of timber extraction used, as well as its accuracy and less processing time for problem-solving. |
| first_indexed | 2024-03-06T11:03:08Z |
| format | Article |
| id | upm.eprints-96186 |
| institution | Universiti Putra Malaysia |
| last_indexed | 2024-03-06T11:03:08Z |
| publishDate | 2021 |
| publisher | Taylor and Francis |
| record_format | dspace |
| spelling | upm.eprints-961862023-01-31T03:12:10Z http://psasir.upm.edu.my/id/eprint/96186/ Bees algorithm for Forest transportation planning optimization in Malaysia Jamaluddin, Jamhuri Kamarudin, Norizah Ismail, Mohd Hasmadi Ahmad, Siti Azfanizam Algorithm is widely used in various areas due to its ability to solve classes of problems. Due to multiple objectives to be met and varied algorithm application in this digital era, addressing the problem-solving optimization in a more efficient and effective way has become more reasonable. Forest transportation planning is one of the most expensive activities in timber harvesting and can be optimized through algorithm application. Forest transportation planning is a vital component of timber harvesting activities. Inappropriate planning may raise the overall costs of harvesting activities. This paper aims to give an overview of several algorithm application in optimizing the forest transportation planning problem and give an insightful information regarding the relationships between algorithm and the integration of transportation system characteristics and variables. Examples of algorithm that are finding their way to the forest transportation planning problem include Genetic Algorithm (GA), Particle Swarm Optimization (PSO) algorithm, Ant Colony Optimization (ACO) algorithm, Simulated Annealing (SA) algorithm and Tabu Search (TS) algorithm. Although no literature was found regarding forest transportation planning problem optimization with regards to Bees Algorithm (BA), rules set for several transportation problem evidenced from literature search seems to be applicable to forestry. Generally, in this paper, the BA has been given focus for forest transportation planning problem optimization as a potential algorithm to overcome the challenges of environmental degradation and efficiency of timber extraction used, as well as its accuracy and less processing time for problem-solving. Taylor and Francis 2021 Article PeerReviewed Jamaluddin, Jamhuri and Kamarudin, Norizah and Ismail, Mohd Hasmadi and Ahmad, Siti Azfanizam (2021) Bees algorithm for Forest transportation planning optimization in Malaysia. Forest Science and Technology, 17 (2). 88 - 99. ISSN 2158-010; ESSN: 2158-0715 https://www.tandfonline.com/doi/full/10.1080/21580103.2021.1925597 10.1080/21580103.2021.1925597 |
| spellingShingle | Jamaluddin, Jamhuri Kamarudin, Norizah Ismail, Mohd Hasmadi Ahmad, Siti Azfanizam Bees algorithm for Forest transportation planning optimization in Malaysia |
| title | Bees algorithm for Forest transportation planning optimization in Malaysia |
| title_full | Bees algorithm for Forest transportation planning optimization in Malaysia |
| title_fullStr | Bees algorithm for Forest transportation planning optimization in Malaysia |
| title_full_unstemmed | Bees algorithm for Forest transportation planning optimization in Malaysia |
| title_short | Bees algorithm for Forest transportation planning optimization in Malaysia |
| title_sort | bees algorithm for forest transportation planning optimization in malaysia |
| work_keys_str_mv | AT jamaluddinjamhuri beesalgorithmforforesttransportationplanningoptimizationinmalaysia AT kamarudinnorizah beesalgorithmforforesttransportationplanningoptimizationinmalaysia AT ismailmohdhasmadi beesalgorithmforforesttransportationplanningoptimizationinmalaysia AT ahmadsitiazfanizam beesalgorithmforforesttransportationplanningoptimizationinmalaysia |