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Article
An accelerating two-layer anchor search with application to the resource-constrained project scheduling problem
IEEE Transactions on Evolutionary Computation
  • Reza R Zamani, University of Wollongong
Document Type
Journal Article
Publication Date
1-1-2010
Abstract

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.

RIS ID
34651
Citation Information
Reza R Zamani. "An accelerating two-layer anchor search with application to the resource-constrained project scheduling problem" IEEE Transactions on Evolutionary Computation Vol. 14 Iss. 6 (2010) p. 975 - 984
Available at: http://works.bepress.com/rzamani/6/