Grammar-based Tree Swarm Optimization
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- @InProceedings{Grinan:2019:SMC,
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author = "David Grinan and Alfredo Ibias and Manuel Nsnez",
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booktitle = "2019 IEEE International Conference on Systems, Man and
Cybernetics (SMC)",
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title = "Grammar-based Tree Swarm Optimization",
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year = "2019",
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pages = "76--81",
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month = oct,
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/SMC.2019.8914268",
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ISSN = "2577-1655",
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abstract = "Particle Swarm Optimisation (PSO) has been
successfully applied to find good solutions through a
guided search. This optimization technique usually
works with vectors as individuals of the population
conforming the search space. Nevertheless, there exist
problems such that the search space cannot be
transformed into a vector search space. In this paper
we propose a novel technique based on the intuition
behind PSO but overcoming its limitations concerning
search spaces. Specifically, we present a PSO framework
where the individuals conforming the search space are
tree-like structures. In particular, our framework
naturally includes classical PSO but also search spaces
where elements are structures that can be represented
as trees (in addition to usual trees, linear structures
such as lists, queues and stacks).",
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notes = "Also known as \cite{8914268}",
- }
Genetic Programming entries for
David Grinan
Alfredo Ibias
Manuel Nsnez
Citations