Designing Pheromone Update Strategies with Strongly Typed Genetic Programming
Created by W.Langdon from
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- @InProceedings{tavares:2011:EuroGP,
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author = "Jorge Tavares and Francisco B. Pereira",
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title = "Designing Pheromone Update Strategies with Strongly
Typed Genetic Programming",
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booktitle = "Proceedings of the 14th European Conference on Genetic
Programming, EuroGP 2011",
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year = "2011",
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month = "27-29 " # apr,
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editor = "Sara Silva and James A. Foster and Miguel Nicolau and
Mario Giacobini and Penousal Machado",
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series = "LNCS",
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volume = "6621",
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publisher = "Springer Verlag",
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address = "Turin, Italy",
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pages = "85--96",
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organisation = "EvoStar",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-642-20406-7",
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DOI = "doi:10.1007/978-3-642-20407-4_8",
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abstract = "Ant Colony algorithms are population-based methods
widely used in combinatorial optimisation problems. We
propose a strongly typed genetic programming approach
to automatically evolve the communication mechanism
that allows ants to cooperatively solve a given
problem. Results obtained with several TSP instances
show that the evolved pheromone update strategies are
effective, exhibit a good generalisation capability and
are competitive with human designed variants.",
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notes = "cf hyper heuristics.
51 city travelling salesman problem.
Part of \cite{Silva:2011:GP} EuroGP'2011 held in
conjunction with EvoCOP2011 EvoBIO2011 and
EvoApplications2011",
- }
Genetic Programming entries for
Jorge Tavares
Francisco Jose Baptista Pereira
Citations