E
Enrique Alba
Researcher at University of Málaga
Publications - 540
Citations - 16018
Enrique Alba is an academic researcher from University of Málaga. The author has contributed to research in topics: Metaheuristic & Evolutionary algorithm. The author has an hindex of 57, co-authored 530 publications receiving 14535 citations. Previous affiliations of Enrique Alba include ETSI & University of Waterloo.
Papers
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A study of the bi-objective next release problem
TL;DR: The obtained results show three different kinds of conclusions: NSGA-II is the technique computing the highest number of optimal solutions, MOCell provides the product manager with the widest range of different solutions, and PAES is the fastest technique (but with the least accurate results).
Proceedings ArticleDOI
Efficient Batch Job Scheduling in Grids using Cellular Memetic Algorithms
TL;DR: This work exploits the capabilities of cellular memetic algorithms (cMAs) for obtaining efficient batch schedulers for grid systems and shows that this heuristic approach is able to deliver very high quality planning of jobs to grid nodes and thus it can be used to design efficient dynamic schedULers for real grid systems.
Proceedings ArticleDOI
Finding safety errors with ACO
Enrique Alba,Francisco Chicano +1 more
TL;DR: The use of a new kind of Ant Colony Optimization (ACO) model, ACOhg, is proposed to refute safety properties in concurrent systems with a reduced amount of resources, outperforming algorithms that are the state-of-the-art in model checking.
Journal Article
Optimal Sensor Network Layout Using Multi-Objective Metaheuristics
TL;DR: This paper addresses a WSN layout problem instance in which full coverage is treated as a constraint while the other two objectives are optimized using a multi- objective approach, and employs a set of multi-objective optimization algorithms for this problem.
Journal ArticleDOI
Efficient parallel LAN/WAN algorithms for optimization. The mallba project
Enrique Alba,Francisco Almeida,Maria J. Blesa,Carlos Cotta,Manuel Díaz,I. Dorta,Joaquim Gabarró,Coromoto León,Gabriel Luque,Jordi Petit,Casiano Rodríguez,A. Rojas,Fatos Xhafa +12 more
TL;DR: The architecture of the MALLBA library is introduced, some of the implemented skeletons are details, and computational results for some classical optimization problems are offered to show the viability of the library.