Evolutionary and bioinspired algorithms for optimization

Throughout the second half of the last century, a set of metaheuristics inspired by evolution and collective intelligence appeared that have had transcendent repercussions in the field of optimization; they are evolutionary algorithms, ant colony optimization (ACO) and particle swarm optimization (PSO). The success of these bioinspired optimization techniques has led, at present, to a growing interest in discovering other strategies inherent in living beings whose computational implementation can bring benefits in the field of optimization and, therefore, a great wave of new approaches is being produced that constitute what we could call the second generation of bioinspired algorithms. They include artificial bee colony (ABC), biogeography-based optimization, and bacterial foraging optimization.

The objective of the line “#CI – Evolutionary and bioinspired algorithms for optimization” is the study and development of bioinspired algorithms for: (1) Improve their behavior when they tackle optimization problems in continuous domains and (2) Apply and adapt them to solve specific combinatorial optimization problems, such as those related to interventions in complex networks, optimal organization of hospitals, etc.

Contact: Manuel Lozano Márquez

Related Researchers:

Letra:

  Name Email Area Cat.
Bermejo Nievas, Enrique enrique.bermejo@decsaif_cjlW.ugr.es DaSCI Technology Applications Area, Computational Intelligence Area PhD
Cano de Amo, José Ramón jrcano@@S9VKOBWujaen.es Data Science and Big Data Area PhD
Casillas Barranquero, Jorge casillas@dPB0d3O@RWWOecsai.ugr.es Data Science and Big Data Area PhD
Castillo Valdivieso, Pedro A. pacv@ugrOWPw@vo9.es DaSCI Technology Applications Area PhD
Chica Serrano, Manuel manuelchica@go.ugr.d4GKuKmnKgznes DaSCI Technology Applications Area PhD - Ramón y Cajal
Cordón García, Óscar ocordon@dehwzwuW3skPcsai.ugr.es DaSCI Technology Applications Area PhD
Damas Arroyo, Sergio sdamas@ugWyyAcYsS.vr.es DaSCI Technology Applications Area PhD
Gacto Colorado, María José mgacto@ujaZC4oHaen.es Data Science and Big Data Area PhD
García Arenas, María Isabel mgarenas@ugwnXKKEjr.es DaSCI Technology Applications Area PhD
García Martínez, Carlos cgarcia@ucZ5w.R3o.es Data Science and Big Data Area PhD
Giráldez Crú, Jesús jgiraldez@ugr.wDxsm4fyIBZes DaSCI Technology Applications Area PhD - Juan de la Cierva
González García, Pedro pglez@ujaenA_w9d.5W.es Data Science and Big Data Area PhD
Herrera Triguero, Francisco herrera_FO8W5@decsai.ugr.es DaSCI Technology Applications Area, Data Science and Big Data Area, Computational Intelligence Area PhD
Mesejo Santiago, Pablo pablomesejo@gmail.cMR7rY7FytDom DaSCI Technology Applications Area PhD - Marie Curie
Sánchez López, Ana María amlopez@ugr.tR_Er_3LrWGZes Data Science and Big Data Area PhD
Villar Castro, Pedro pvillarc@ugJXq.a8jxK.0r.es Data Science and Big Data Area PhD
Scroll Up