The complexity of designing and implementing metaheuristics

Ricardo Soto, Broderick Crawford, Rodrigo Olivares, Cristian Galleguillos, Kathleen Crawford, Franklin Johnson, Fernando Paredes

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Optimization problems can be found in several real application domains such as engineering, medicine, mathematics, mechanics, physics, mining, games, design, and biology, among others. There exist several techniques to the efficient solving of these problems, which can be organized in two groups: exact and approximate methods. Metaheuristics are one of the most famous and widely used approximate methods for solving optimization problems. Most of them are known for being inspired on interesting behaviors that can be found on the nature, such as the way in which ants, bees and fishes found food, or the way in which fireflies and bats move on the environment. However, solving optimization problems via metaheuristics is not always a simple trip. In this paper, we analyze and discuss from an usability standpoint how the effort needed to design and implement efficient and robust metaheuristics can be conveniently managed and reduced.

Idioma originalInglés
Título de la publicación alojadaHCI International 2015 – Posters Extended Abstracts - International Conference, HCI International 2015, Proceedings
EditoresConstantine Stephanidis
EditorialSpringer Verlag
Páginas593-597
Número de páginas5
ISBN (versión impresa)9783319213798
DOI
EstadoPublicada - 2015
Publicado de forma externa
Evento17th International Conference on Human Computer Interaction, HCI 2015 - Los Angeles, Estados Unidos
Duración: 2 ago. 20157 ago. 2015

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen528
ISSN (versión impresa)1865-0929

Conferencia

Conferencia17th International Conference on Human Computer Interaction, HCI 2015
País/TerritorioEstados Unidos
CiudadLos Angeles
Período2/08/157/08/15

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