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An Accelerating Two-Layer Anchor Search With Application to the Resource-Constrained Project Scheduling Problem

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1 Author(s)
Reza Zamani ; Faculty of Informatics, University of Wollongong, Australia

This paper presents a search method that combines elements from evolutionary and local search paradigms by the systematic use of crossover operations, generally used as structured exchange of genes between a series of solutions in genetic algorithms. Crossover operations here are particularly utilized as a systematic means to generate several possible solutions from two superior solutions. To test the effectiveness of the method, it has been applied to the resource-constrained project scheduling problem. The computational experiments show that the application of the method to this problem is promising.

Published in:

IEEE Transactions on Evolutionary Computation  (Volume:14 ,  Issue: 6 )