Multi-Modal Optimization by Multi-Gene Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Povoa:2018:CEC,
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author = "Rogerio C. B. L. Povoa and Adriano S. Koshiyama and
Douglas M. Dias and Patricia L. Souza and
Bruno A. C. Horta",
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title = "Multi-Modal Optimization by Multi-Gene Genetic
Programming",
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booktitle = "2018 IEEE Congress on Evolutionary Computation (CEC)",
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year = "2018",
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editor = "Marley Vellasco",
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address = "Rio de Janeiro, Brazil",
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month = "8-13 " # jul,
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publisher = "IEEE",
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keywords = "genetic algorithms, genetic programming, multi-modal
optimization, niching methods, multi-gene genetic
programming, niching multi-gene parameter mapping
approach",
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DOI = "doi:10.1109/CEC.2018.8477715",
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abstract = "Genetic programming techniques allow flexibility in
the optimization process, making it possible to use
them in different areas of knowledge and providing new
ways for specialists to advance in their areas more
quickly and more accurately. This work presents a
preliminary analysis of a new method using multi-gene
genetic programming to multimodal numerical
optimization. The new algorithm uses some niching
techniques based on the clear procedure to maintain the
population diversity, in order to perform a
multivariate mapping among initial guesses to optimal
parameters for a system. We used a multi-modal
benchmark set with different characteristics and
difficulty levels to evaluate this new algorithm.
Statistical analysis suggested that this new
multi-modal method using multi-gene genetic programming
can be used for problems that requires more than a
single solution.",
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notes = "WCCI2018",
- }
Genetic Programming entries for
Rogerio C B L Povoa
Adriano Soares Koshiyama
Douglas Mota Dias
Patricia L Souza
Bruno A C Horta
Citations