Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Antonio López Jaimes"'
Publikováno v:
Expert Systems with Applications. 120:357-371
An optimization technique aims to find the best solution to an optimization problem. If the problem considers only one objective function, the best solution will provide the optimal value for such objective. However, if the problem considers two or m
Publikováno v:
Swarm and Evolutionary Computation. 44:404-419
In multi-objective optimization, the hypervolume indicator (also known as S metric or Lebesgue measure) evaluates, at the same time, the approximation and distribution of non-dominated solutions along the Pareto optimal front of a multi-objective opt
Autor:
Antonio López Jaimes, Jorge Cervantes-Ojeda, A. Montserrat Alvarado-González, María del Carmen Gómez-Fuentes
Publikováno v:
Research in Computing Science. 147:29-44
Publikováno v:
Swarm and Evolutionary Computation. 38:218-230
Many-objective optimization focuses on solving optimization problems with four or more objectives. Effort has been made mainly on studying continuous problems, with interesting results and for which several proposals have appeared. An important resul
Publikováno v:
Research in Computing Science. 134:111-125
Publikováno v:
Revista de Investigación en Tecnologías de la Información. 5:80-85
Publikováno v:
GECCO (Companion)
The success of Multi-Objective Evolutionary Algorithms based on Decomposition (MOEA/D) has generated great interest in the use of a reference set of weight vectors to promote diversity within non-dominated solutions. However, the quality of the solut
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030125974
EMO
EMO
Recent Multi-objective Optimization (MO) algorithms such as MOEA/D or NSGA-III make use of an uniformly scattered set of reference points indicating search directions in the objective space in order to achieve diversity. Apart from the mixture-design
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c2b56acd8c603d7d6089e071c942e8a
https://doi.org/10.1007/978-3-030-12598-1_21
https://doi.org/10.1007/978-3-030-12598-1_21
Publikováno v:
Advances in Nature-Inspired Computing and Applications ISBN: 9783319964508
A Wireless Sensor Network (WSN) is composed of a set of energy and processing-constrained devices that gather data about a set of phenomena. An efficient way to enlarge the lifetime of a wireless sensor network is clustering organization, which struc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b92763c60c2bd790c9a2d1c9d607e84
https://doi.org/10.1007/978-3-319-96451-5_7
https://doi.org/10.1007/978-3-319-96451-5_7
Publikováno v:
CEC
A Wireless Sensor Network (WSN) is composed of a set of energy- and processing-constrained devices that gather data about a set of phenomena (e.g., temperature, humidity, pressure, etc.). An efficient way to extend the lifetime of a WSN is using a cl