Estudio e implementación de optimización gravitatoria y desarrollo de distintas metaheurísticas generadas a partir de él

  1. Zapatero Moreno, María José
Supervised by:
  1. Jesús F. Alegre Martínez Director
  2. Joaquín A. Pacheco Bonrostro Director

Defence university: Universidad de Burgos

Fecha de defensa: 27 November 2015

  1. Rafael Herrerías Pleguezuelo Chair
  2. Amaya Martínez Puras Secretary
  3. María del Mar Arenas Parra Committee member
  4. Cristina R. Delgado Serna Committee member
  5. Alfredo G. Hernández-Díaz Committee member

Type: Thesis

Teseo: 423013 DIALNET lock_openRIUBU editor


In this thesis we propose the comprehensive study of the heuristic: "Space Gravitational Optimization", S.G.O., designed for global optimization of continuous functions. We study its foundations and parameters to determine their values universally. We subsequently fulfill our goal of achieving the optimum in 40 benchmark functions, common tests of effectiveness and efficiency in global optimization, with different topologies and sizes between two and thirty, several multimodal. For achieving, we join S.G.O. with algorithms of different nature: local search (Nelder-Mead and Gradient), concentration (Segmentation) and intensification (Worm Hole and Very Simple Optimization). With them metaheuristic of high effectiveness and efficiency are generated. Two of them, Segmentation and Worm Hole, are unpublished, designed and developed by us. Last but not least our work involves several tests of the different metaheuristic generated with a real instance: Cassini 2, representing the actual track made by the eponymous unmanned spacecraft on its journey to Saturn.