Evolutionary and bioinspired algorithms for optimization

In the last fifty years, the field of optimization has been revolutionized by the arrival of new algorithms, called meta-heristics, inspired by nature, evolution, and animal behaviors, including the collective intelligence of gregarious animals. Examples of such algorithms would be Genetic Algorithms, inspired by the animal evolution, Ant Colony-based Optimization (ACO) algorithms, or Particle Cloud Optimization (PSO) algorithms, based on the movement of birds. The success of these bio-inspired optimization techniques has produce, nowadays, an increasing interest in discovering other strategies inspired by nature whose computational implementation can bring benefits in the field of optimization. For that reason recently there have been proposed a wave of new approaches that we could call second-generation bio-inspired algorithms. These include algorithms on artificial bee colonies (ABC), bacterial foraging optimization algorithms, …

The objective of the line “#CI – Evolutionary and bio-inspired algorithms for optimization” is the study and development of bio-inspired algorithms to: (1) improve their behavior against optimization problems in continuous domains and (2) apply and adapt them to solve concrete combinatorial optimization problems, such as those related to interventions in complex networks, optimal organization of hospitals, etc.

Contact: Daniel Molina Cabrera

Related Researchers:

Letra:

  Name Email Area Cat.
Benítez Sánchez, José Manuel J.M.BenitezZh0dbh@decsai.ugr.es Data Science and Big Data Area, Computational Intelligence Area PhD
Bermejo Nievas, Enrique enrique.bermejo@decsa89P@U9TbIXCri.ugr.es Computational Intelligence Area, DaSCI Technology Applications Area PhD
Casillas Barranquero, Jorge casillas@decsai.ugDTO1UULmWr.es Data Science and Big Data Area PhD
Castillo Valdivieso, Pedro A. pacv@5uSSywxWLZdeugr.es DaSCI Technology Applications Area PhD
Chica Serrano, Manuel manuelchica@go.ugr.7@0F481Xikes DaSCI Technology Applications Area PhD - Ramón y Cajal
Chica Serrano, Manuel manuelchica@go.ugro8D@w4C1J6a.es DaSCI Technology Applications Area PhD - Ramón y Cajal
Cordón García, Óscar ocordon@G719PqXqkdecsai.ugr.es DaSCI Technology Applications Area PhD
Faris, Hossam hossam.faris@ju.edu.EzOO0_5hjo DaSCI Technology Applications Area International Colaborator
García Martínez, Carlos cgarcia@u9G@qsKdNtrco.es Data Science and Big Data Area PhD
Giráldez Crú, Jesús jgiraldez@u0xwPOz.mgr.es DaSCI Technology Applications Area PhD - Juan de la Cierva
Gutiérrez Salcedo, Salvador salvador.gutierrez@ucaEVOwjXGY.es Data Science and Big Data Area PhD
Herrera Triguero, Francisco herrera@deMfca21zlXK4csai.ugr.es DaSCI Technology Applications Area, Data Science and Big Data Area, Computational Intelligence Area PhD
Lastra Leidinger, Miguel mlastral@rWtdIJwDuugr.es Data Science and Big Data Area, Computational Intelligence Area PhD
Lozano Márquez, Manuel lozano@dB_GM8q@fBxXNecsai.ugr.es Computational Intelligence Area PhD
Lucena Sánchez, Estrella estrellalucena@ugr.oLqoNBeeY7es Data Science and Big Data Area PhD - Others
Molina Cabrera, Daniel dmolina@decwuZqPZsai.ugr.es Data Science and Big Data Area PhD
Ortíz García, Andrés aortiz@ic.uma.1OPsTFoGj_Hes DaSCI Technology Applications Area PhD
Rodríguez Díaz, Francisco Javier fjrodriguez@crDnOYZpi7decsai.ugr.es PhD
Romero Zaliz, Rocío rocio@ugr.U8Z7cpFxTes DaSCI Technology Applications Area PhD
Sánchez López, Ana María amlopez@ubTacnha3jJsUgr.es Data Science and Big Data Area PhD
Sánchez López, Ana María amlopezN_hE4GwldS_D@ugr.es Data Science and Big Data Area PhD
Ventura Soto, Sebastián sventura@ucaoV8wLaTJyTo.es Data Science and Big Data Area PhD
Villar Castro, Pedro pvillarc@ugr.Hy7fzvB6es Data Science and Big Data Area PhD
Villar Castro, Pedro pvillarc@ugKtkK5wJFr.es Data Science and Big Data Area PhD