Zobrazeno 1 - 10
of 78
pro vyhledávání: '"JJ Merelo"'
Publikováno v:
Applications of Evolutionary Computation ISBN: 9783030437213
EvoApplications
EvoApplications
This paper addresses the issue of estimating the computational complexity of optimizing real-coded multimodal functions where the aim is to find all global optima. The proposed complexity method provides a partial answer to this question in the form
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dbc7bff7e5c2e2d1b0642530127abfa
https://doi.org/10.1007/978-3-030-43722-0_13
https://doi.org/10.1007/978-3-030-43722-0_13
Autor:
JJ Merelo, Tomás de J. Mateo Sanguino, Juan Julián Merelo, Víctor Manuel Rivas Santos, Jose Carpio
Publikováno v:
Journal of Computer Assisted Learning. 31:14-31
Limitations of formal learning e.g., one-way communication, rigid methodology, results-oriented approach can significantly influence the motivation and expectation of students, thus resulting in an academic progress reduction. In order to make learni
Publikováno v:
IEEE Transactions on Cybernetics. 44:843-856
KANTS is a swarm intelligence clustering algorithm inspired by the behavior of social insects. It uses stigmergy as a strategy for clustering large datasets and, as a result, displays a typical behavior of complex systems: self-organization and globa
Autor:
JJ Merelo, Juan Julián Merelo, M. G. Arenas, Antonio M. Mora García, Pedro Castillo Valdivieso
Publikováno v:
Computers & Operations Research. 40:1524-1551
This paper presents a family of Multi-Objective Ant Colony Optimization (MOACO) algorithms, globally identified as hCHAC, which have been designed to solve a pathfinding problem in a military context considering two objectives: maximization of speed
Publikováno v:
Applied Intelligence. 39:279-306
This paper reports the investigation on the sandpile mutation, an unconventional mutation control scheme for binary Genetic Algorithms (GA) inspired by the Self-Organized Criticality (SOC) theory. The operator, which is based on a SOC system known as
Autor:
JJ Merelo, Juan Julián Merelo, Antonio M. Mora García, Pedro Castillo Valdivieso, Pablo García-Sánchez
Publikováno v:
Soft Computing. 17:1175-1207
Multi-objective algorithms are aimed to obtain a set of solutions, called Pareto set, covering the whole Pareto front, i.e. the representation of the optimal set of solutions. To this end, the algorithms should yield a wide amount of near-optimal sol
Publikováno v:
GECCO (Companion)
Autor:
Juan Julián Merelo, JJ Merelo
Publikováno v:
GECCO (Companion)
The cloud includes a new paradigm for designing applications and running them, but also new challenges in the design of evolutionary algorithm themselves. In this tutorial we will make a pratical introduction to the topic of running distributed evolu
Publikováno v:
Proceedings of the Artificial Life Conference 2016.
Autor:
Antonio Dourado, JJ Merelo, Juan Julián Merelo, Jose M. Cadenas, Joaquim Filipe, Enrico Maiorino
Publikováno v:
Studies in Computational Intelligence ISBN: 9783319263915
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae1fd21dcb76aa3b3e2c7e65e611dfcc
https://doi.org/10.1007/978-3-319-26393-9
https://doi.org/10.1007/978-3-319-26393-9