Abstract
This paper discusses the resource availability cost problem (RACP) with the objective of minimizing the total cost of the unlimited renewable resources by a prespecified project deadline. A tabued scatter search (TSS) algorithm is developed to solve the RACP. The deadline constraint is handled in coding. A tabu search module is embedded in the framework of scatter search. A computational experiment was conducted and the computational results show that the proposed TSS hybrid algorithm is effective and advantageous for the RACP.
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CITATION STYLE
Meng, H., Wang, B., Nie, Y., Xia, X., & Zhang, X. (2016). A scatter search hybrid algorithm for resource availability cost problem. In Advances in Intelligent Systems and Computing (Vol. 382, pp. 39–51). Springer Verlag. https://doi.org/10.1007/978-3-662-47926-1_5
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