Výsledky vyhledávání - "Laredo, J. L. J."

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Distributed Evolutionary Computation using REST

Autor: Castillo, P. A., Arenas, M. G., Mora, A. M., Laredo, J. L. J., Romero, G., Rivas, V. M, Merelo, J. J.

This paper analises distributed evolutionary computation based on the Representational State Transfer (REST) protocol, which overlays a farming model on evolutionary computation. An approach to evolutionary distributed optimisation of multilayer perc

Externí odkaz: http://arxiv.org/abs/1105.4971

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KohonAnts: A Self-Organizing Ant Algorithm for Clustering and Pattern Classification

Autor: Fernandes, C., Mora, A. M., Merelo, J. J., Ramos, V., Laredo, J. L. J.

In this paper we introduce a new ant-based method that takes advantage of the cooperative self-organization of Ant Colony Systems to create a naturally inspired clustering and pattern recognition method. The approach considers each data item as an an

Externí odkaz: http://arxiv.org/abs/0803.2695

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Improved evolutionary generation of XSLT stylesheets

Autor: Garcia-Sanchez, Pablo, Laredo, J. L. J., Sevilla, J. P., Castillo, Pedro, Merelo, J. J.

This paper introduces a procedure based on genetic programming to evolve XSLT programs (usually called stylesheets or logicsheets). XSLT is a general purpose, document-oriented functional language, generally used to transform XML documents (or, in ge

Externí odkaz: http://arxiv.org/abs/0803.1926

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Evolving XSLT stylesheets

Autor: Zorzano, Nestor, Merino, Daniel, Laredo, J. L. J., Sevilla, J. P., Garcia, Pablo, Merelo, J. J.

Externí odkaz: http://arxiv.org/abs/0712.2630

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Self-adaptive Gossip Policies for Distributed Population-based Algorithms

Autor: Laredo, J. L. J., Eiben, E. A., Schoenauer, M., Castillo, P. A., Mora, A. M., Fernandez, F., Merelo, J. J.

Gossipping has demonstrate to be an efficient mechanism for spreading information among P2P networks. Within the context of P2P computing, we propose the so-called Evolvable Agent Model for distributed population-based algorithms which uses gossippin

Externí odkaz: http://arxiv.org/abs/cs/0703117

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Browser-based distributed evolutionary computation: performance and scaling behavior

Autor: Merelo, J. J., Mora-Garcia, Antonio, Laredo, J. L. J., Lupion, Juan, Tricas, Fernando

The challenge of ad-hoc computing is to find the way of taking advantage of spare cycles in an efficient way that takes into account all capabilities of the devices and interconnections available to them. In this paper we explore distributed evolutio

Externí odkaz: http://arxiv.org/abs/cs/0701115

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CHAC. A MOACO Algorithm for Computation of Bi-Criteria Military Unit Path in the Battlefield

Autor: Mora, A. M., Merelo, J. J., Millan, C., Torrecillas, J., Laredo, J. L. J.

Publikováno v: Published in Proceedings of the Workshop on Nature Inspired Cooperative Strategies for Optimization. NICSO'2006, Pelta & Krasnogor, (eds) pp 85-98, Jun. 2006

In this paper we propose a Multi-Objective Ant Colony Optimization (MOACO) algorithm called CHAC, which has been designed to solve the problem of finding the path on a map (corresponding to a simulated battlefield) that minimizes resources while maxi

Externí odkaz: http://arxiv.org/abs/cs/0610113

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