Journal
COMPUTERS & OPERATIONS RESEARCH
Volume 39, Issue 2, Pages 449-460Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cor.2011.05.008
Keywords
Multi-mode resource-constrained project scheduling; Estimation of distribution algorithm; Probability model; Permutation based local search
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Funding
- National Science Foundation of China [70871065, 60834004]
- Program for New Century Excellent Talents in University [NCET-10-0505]
- Doctoral Program Foundation of Institutions of Higher Education of China [20100002110014]
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In this paper, an estimation of distribution algorithm (EDA) is proposed to solve the multi-mode resource-constrained project scheduling problem (MRCPSP). In the EDA, the individuals are encoded based on the activity-mode list (AML) and decoded by the multi-mode serial schedule generation scheme (MSSGS), and a novel probability model and an updating mechanism are proposed for well sampling the promising searching region. To further improve the searching quality, a multi-mode forward backward iteration (MFBI) and a multi-mode permutation based local search method (MPBLS) are proposed and incorporated into the EDA based search framework to enhance the exploitation ability. Based on the design-of-experiment (DOE) test, suitable parameter combinations are determined and some guidelines are provided to set the parameters. Simulation results based on a set of benchmarks and comparisons with some existing algorithms demonstrate the effectiveness of the proposed EDA. (C) 2011 Elsevier Ltd. All rights reserved.
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