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Optimization of nonlinear function with planar regions using supernova

Mesa Delgado, Eddy Janneth (2018) Optimization of nonlinear function with planar regions using supernova. Doctorado thesis, Universidad Nacional de Colombia - Sede Medellín.

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Nowadays, optimization is begun to be use in different fields, e.g. preference algorithms. These new challenges need a robustness meta heuristics to solve them. Supernova meta heuristic that emules the descent behavior of the gradients and share the same weakness of them. They get stuck planar regions and hardly find the needle minimum. The main objective of this works is to improve the performance of the original version of supernova for the problematic topologies mention above. First, a review of how to these problems are solved in the literature is presented. Second, A criterion to determine planar regions is described . Third, a strategy to choose the parameters agree with the topology of the function is implemented. Supernova 2.0 was tested using the set of benchmarks functions proposed in CEC2013. The new version is significantly better than the original version, no significantly better than SPSO2011 and significantly inferior with SADE. Although, the results are applied to Supernova, most of the strategies can be applied to other methods.

Tipo de documento:Tesis/trabajos de grado - Thesis (Doctorado)
Colaborador / Asesor:Velásquez Henao, Juan David and Jaramillo, Gloria Patricia
Palabras clave:optimization, nonlinear optimization, metahueristic, supernova, nonlinear programming, heuristics
Temática:6 Tecnología (ciencias aplicadas) / Technology > 62 Ingeniería y operaciones afines / Engineering
Unidad administrativa:Sede Medellín > Facultad de Minas > Escuela de Sistemas
Código ID:70382
Enviado por : Eddy Janneth Mesa Delgado
Enviado el día :16 Enero 2019 21:16
Ultima modificación:16 Enero 2019 21:16
Ultima modificación:16 Enero 2019 21:16
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