Grammar-based Tree Swarm Optimization

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@InProceedings{Grinan:2019:SMC,

• author = "David Grinan and Alfredo Ibias and Manuel Nsnez",
• booktitle = "2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)",
• title = "Grammar-based Tree Swarm Optimization",
• year = "2019",
• pages = "76--81",
• month = oct,
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/SMC.2019.8914268",
• ISSN = "2577-1655",
• 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).",
• notes = "Also known as \cite{8914268}",

}

Genetic Programming entries for David Grinan Alfredo Ibias Manuel Nsnez

Citations