By Youhua Zhang, Kunqi Liu, Gang Liu, Zhanfang Zhao (auth.), Zhihua Cai, Hengjian Tong, Zhuo Kang, Yong Liu (eds.)

This ebook constitutes the lawsuits of the fifth foreign Symposium on Computational Intelligence and clever platforms held in Wuhan, China, in October 2010.

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Additional info for Computational Intelligence and Intelligent Systems: 5th International Symposium, ISICA 2010, Wuhan, China, October 22-24, 2010. Proceedings

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1 Experiment Description K J B In this example of a multi-resource balanced, there are eighteen real works and ten virtual works. Each work needs three kinds of different resources. Network structure is shown as figure 3; the relationship between works and the time and resources required are shown as table 1. J, K, L, M, N, X, Y, Z, A1, A2 are virtual works which are behalf of the constrained relationships between works. I F Z X P W O T A2 Fig. 3. Structure of network 26 P. Chen, L. Zhu, and X.

A Resource Equilibrium Optimization Method Base on Improved Genetic Algorithm. China Artificial Intelligence Progress 2, P737–P743 (2007) 10. : An efficient hybrid genetical gorithm for scheduling projects with resource constraints and mulitiple execution modes. Int. J. Production Economics, P302–P316 (2009) 11. : The Comparative Research of Solving Problems of Equilibrium and Optimizing Multi-resources with GA and PSO. In: 2008 International Conference on Computational Intelligence and Security (2008) 12.

The actual start time could be got by adding he earliest start time and a random value within the relaxation time ES, LS and TF could be calculated through critical path method (CPM)[6]. 22 P. Chen, L. Zhu, and X. Li Fig. 1. Flowchart of the Self-adaptive Genetic Algorithm Fig. 2. Chromosome structure of this paper Assuming TS is the actual start time of work. TS(i-j)=ES(i-j)+random(0, TF(i-j)) (5) The formula (5) can calculate the actual start time of each work as the initial value of each chromosome.

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