Abstract:
Resource-Constrained Project Scheduling is an NP-hard problem very attractive for researchers due to its large area of applications. This paper concentrates on the evolut...Show MoreMetadata
Abstract:
Resource-Constrained Project Scheduling is an NP-hard problem very attractive for researchers due to its large area of applications. This paper concentrates on the evolutionary approaches to Resource-Constrained Project Scheduling based on permutation encoded individuals. A new recombination operator is proposed and a comparative analysis of several recombination operators is presented based on computational experiments for several project instances. Numerical results emphasize a good performance of the proposed crossover scheme which takes into account information from the global best individual besides the genetic material from parents.
Published in: 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)
Date of Conference: 27-29 November 2012
Date Added to IEEE Xplore: 24 January 2013
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