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The objective of this paper is to develop procedures for allocating resources to the activities of a given baseline schedule in order to minimize the number of extra precedence relations imposed by resource flows. Based on a proposed parallel resource flow generation scheme, two priority rule-based heuristics and a genetic algorithm are proposed. Finally, a set of computational experiments on standard benchmark datasets are presented to validate the heuristics.

Hierarchical structure is one of the most ubiquitous structures in various networked complex systems. In order to investigate the properties of the hierarchical structure, a deterministic hierarchical network model is first proposed. The statistical properties of the constructed networks are also discussed. The simulation results prove that the artificial networks simultaneously possess the small-world and scale-free properties well. This may be useful in furthering study of the topology properties of the hierarchical networks in real life.