Multi-Modal Optimization by Multi-Gene Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Povoa:2018:CEC,

• author = "Rogerio C. B. L. Povoa and Adriano S. Koshiyama and Douglas M. Dias and Patricia L. Souza and Bruno A. C. Horta",
• title = "Multi-Modal Optimization by Multi-Gene Genetic Programming",
• booktitle = "2018 IEEE Congress on Evolutionary Computation (CEC)",
• year = "2018",
• editor = "Marley Vellasco",
• address = "Rio de Janeiro, Brazil",
• month = "8-13 " # jul,
• publisher = "IEEE",
• keywords = "genetic algorithms, genetic programming, multi-modal optimization, niching methods, multi-gene genetic programming, niching multi-gene parameter mapping approach",
• DOI = "doi:10.1109/CEC.2018.8477715",
• 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.",
• 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