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Appendix B: Function Optimisation Techniques Genetic Algorithms and Tabu Searches

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Guide to Computational Modelling for Decision Processes

Part of the book series: Simulation Foundations, Methods and Applications ((SFMA))

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Abstract

This technique was developed by John Holland introducing to attempt to overcome the problems faced by more classical techniques, in problems where, for example, there are multiple objectives.

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Reference

  1. Larcombe PJ, Wilson PDC (1998) On the trail of the catalan sequence. Bull IMA 34(4):114–117

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Correspondence to Val Lowndes .

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Lowndes, V., Paskota, M. (2017). Appendix B: Function Optimisation Techniques Genetic Algorithms and Tabu Searches. In: Berry, S., Lowndes, V., Trovati, M. (eds) Guide to Computational Modelling for Decision Processes. Simulation Foundations, Methods and Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-55417-4_17

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  • DOI: https://doi.org/10.1007/978-3-319-55417-4_17

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