Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Juan J. Durillo"'
Publikováno v:
SoftwareX, Vol 24, Iss , Pp 101551- (2023)
Evolver is a tool based on the formulation of the automatic configuration and design of multi-objective metaheuristics as a multi-objective optimization problem that can be solved by using the same kind of algorithms; i.e., we are applying a meta-opt
Externí odkaz:
https://doaj.org/article/a1a8c3b50f874daa86ef1a38398b905d
Publikováno v:
IEEE Transactions on Cloud Computing
Many techniques such as scheduling and resource provisioning rely on performance prediction of workflow tasks for varying input data. However, such estimates are difficult to generate in the cloud. This paper introduces a novel two-stage machine lear
Autor:
Héctor J. Fraire, Antonio J. Nebro, Bernabé Dorronsoro, Oscar Castillo, Juan J. Durillo, Alejandro Santiago
Publikováno v:
Information Sciences. 471:233-251
We propose a new method for multi-objective optimization, called Fuzzy Adaptive Multi-objective Evolutionary algorithm (FAME). It makes use of a smart operator controller that dynamically chooses the most promising variation operator to apply in the
Autor:
Juan J. Durillo, José García-Nieto, José A. Cordero, Antonio J. Nebro, Cristóbal Barba-González, José F. Aldana-Montes, Ismael Navas-Delgado
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
instname
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
Multi-objective metaheuristics have become popular techniques for dealing with complex optimization problems composed of a number of conflicting functions. Nowadays, we are in the Big Data era, so metaheuristics must be able to solve dynamic problems
Autor:
Antonio J. Nebro, José García-Nieto, Cristian Zambrano-Vega, Juan J. Durillo, José F. Aldana-Montes
Publikováno v:
International Journal of Intelligent Systems. 32:843-861
Multiple sequence alignment (MSA) plays a core role in most bioinformatics studies and provides a framework for the analysis of evolution in biological systems. The MSA problem consists in finding an optimal alignment of three or more sequences of nu
Autor:
Ennio Torre, Gagangeet Singh Aujla, Shajulin Benedikt, Radu Prodan, Neeraj Kummar, Hamid Mohammadi Fard, Juan J. Durillo
Publikováno v:
SEAA
Minimizing the resource wastage reduces the energy cost of operating a data center, but may also lead to a considerably high resource overcommitment affecting the Quality of Service (QoS) of the running applications. Determining the effective tradeof
Publikováno v:
Parallel Computing
Auto-tuning has become increasingly popular for optimizing non-functional parameters of parallel programs. The typically large search space requires sophisticated techniques to find well-performing parameter values in a reasonable amount of time. Dif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cd057859e4be38baaf76b8aa70198e8
https://zenodo.org/record/1245529
https://zenodo.org/record/1245529
Autor:
José García-Nieto, Antonio Benítez-Hidalgo, Carlos A. Coello Coello, Juan J. Durillo, Javier Del Ser, Cristóbal Barba-González, Antonio J. Nebro, José F. Aldana-Montes
Publikováno v:
Parallel Problem Solving from Nature – PPSN XV ISBN: 9783319992525
PPSN (1)
PPSN (1)
The Speed-constrained Multi-objective PSO (SMPSO) is an approach featuring an external bounded archive to store non-dominated solutions found during the search and out of which leaders that guide the particles are chosen. Here, we introduce SMPSO/RP,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::914dd968d577c9fd60d32d547a4efbc1
https://doi.org/10.1007/978-3-319-99253-2_24
https://doi.org/10.1007/978-3-319-99253-2_24
Autor:
Antonio J. Nebro, Esteban López-Camacho, José F. Aldana-Montes, Juan J. Durillo, José García-Nieto, Cristóbal Barba-González, Antonio Benítez-Hidalgo
Publikováno v:
Intelligent Distributed Computing XII ISBN: 9783319996257
IDC
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
RIUMA. Repositorio Institucional de la Universidad de Málaga
instname
idUS. Depósito de Investigación de la Universidad de Sevilla
IDC
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
RIUMA. Repositorio Institucional de la Universidad de Málaga
instname
idUS. Depósito de Investigación de la Universidad de Sevilla
Multi-objective optimization with metaheuristics is an active and popular research field which is supported by the availability of software frameworks providing algorithms, benchmark problems, quality indicators and other related components. Most of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d22c49bd70a3784317f162ad094a211
Publikováno v:
SCOPES
The increasing performance of today's computer architecture comes with an unprecedented augment of hardware complexity. Unfortunately this results in difficult-to-tune software and consequentially in a gap between the potential peak performance and t