TY - GEN
T1 - Applying pareto ant colony optimization to solve bi-objective forest transportation planning problems
AU - Lin, Pengpeng
AU - Zhang, Jun
AU - Contreras, Marco A.
PY - 2014/2/27
Y1 - 2014/2/27
N2 - Problems related to the transportation of timber products have traditionally involved finding routes that minimize timber hauling and road construction costs. However, increasing environmental concerns have introduced negative impacts (i.e., soil erosion and water quality) into forest transportation planning problems (FTPPs). In this paper, we designed and implemented a multi-objective ant colony optimization algorithm (MOACO) to solve a bi-objective FTPP that considers both transportation cost and environmental impacts. The goal is to provide decision makers with different timber transportation planning alternatives to help them make informed decisions. The MOACO incorporates various design choices that have been identified to have better performances in recent research literature. To test for performance, we applied the algorithm to ten FTPPs. Experimental results demonstrate the MOACO was able to solve all test problems under different stop conditions.
AB - Problems related to the transportation of timber products have traditionally involved finding routes that minimize timber hauling and road construction costs. However, increasing environmental concerns have introduced negative impacts (i.e., soil erosion and water quality) into forest transportation planning problems (FTPPs). In this paper, we designed and implemented a multi-objective ant colony optimization algorithm (MOACO) to solve a bi-objective FTPP that considers both transportation cost and environmental impacts. The goal is to provide decision makers with different timber transportation planning alternatives to help them make informed decisions. The MOACO incorporates various design choices that have been identified to have better performances in recent research literature. To test for performance, we applied the algorithm to ten FTPPs. Experimental results demonstrate the MOACO was able to solve all test problems under different stop conditions.
UR - http://www.scopus.com/inward/record.url?scp=84946686558&partnerID=8YFLogxK
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U2 - 10.1109/IRI.2014.7051970
DO - 10.1109/IRI.2014.7051970
M3 - Conference contribution
AN - SCOPUS:84946686558
T3 - Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration, IEEE IRI 2014
SP - 795
EP - 802
BT - Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration, IEEE IRI 2014
A2 - Bertino, Elisa
A2 - Thuraisingham, Bhavani
A2 - Liu, Ling
A2 - Joshi, James
T2 - 15th IEEE International Conference on Information Reuse and Integration, IEEE IRI 2014
Y2 - 13 August 2014 through 15 August 2014
ER -