An accelerating two-layer anchor search with application to the resource-constrained project scheduling problemIEEE Transactions on Evolutionary Computation
Document TypeJournal Article
AbstractThis 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.
Citation InformationReza 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/