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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)
Zamani, R. ; Fac. of Inf., Univ. of Wollongong, Wollongong, NSW, 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:

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

Date of Publication:

Dec. 2010

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