Nature-Inspired Algorithms Applied to an Efficient and Self-adaptive Resources Selection Model for Grid Applications

2012 ◽  
pp. 84-96 ◽  
Author(s):  
María Botón-Fernández ◽  
Francisco Prieto Castrillo ◽  
Miguel A. Vega-Rodríguez
Keyword(s):  
Selection Model ◽  
Grid Applications ◽  
Nature Inspired Algorithms ◽  
Self Adaptive

Intelligent self-adaptive resources selection for grid applications

2014 ◽  
Vol 27 (14) ◽  
pp. 3539-3560 ◽  
Author(s):  
María Botón-Fernández ◽  
Miguel A. Vega-Rodríguez ◽  
Francisco Prieto Castrillo
Keyword(s):  
Grid Applications ◽  
Selection For ◽  
Self Adaptive

scholarly journals A Novel Hybrid Self-Adaptive Bat Algorithm

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Iztok Fister ◽  
Simon Fong ◽  
Janez Brest ◽  
Iztok Fister
Keyword(s):  
Optimization Problems ◽  
Bat Algorithm ◽  
Search Space ◽  
Combinatorial Problems ◽  
Control Parameters ◽  
Search Heuristics ◽  
Self Adaptation ◽  
Nature Inspired Algorithms ◽  
Extensive Family ◽  
Self Adaptive

Nature-inspired algorithms attract many researchers worldwide for solving the hardest optimization problems. One of the newest members of this extensive family is the bat algorithm. To date, many variants of this algorithm have emerged for solving continuous as well as combinatorial problems. One of the more promising variants, a self-adaptive bat algorithm, has recently been proposed that enables a self-adaptation of its control parameters. In this paper, we have hybridized this algorithm using different DE strategies and applied these as a local search heuristics for improving the current best solution directing the swarm of a solution towards the better regions within a search space. The results of exhaustive experiments were promising and have encouraged us to invest more efforts into developing in this direction.

The Small-World Phenomenon Applied to a Self-adaptive Resources Selection Model

2013 ◽  
pp. 82-91
Author(s):  
María Botón-Fernández ◽  
Francisco Prieto Castrillo ◽  
Miguel A. Vega-Rodríguez
Keyword(s):  
Small World ◽  
Selection Model ◽  
Self Adaptive

A self-adaptive resources selection model through a small-world based heuristic

2014 ◽  
Vol 68 (3) ◽  
pp. 1441-1461
Author(s):  
María Botón-Fernández ◽  
Francisco Prieto-Castrillo ◽  
Miguel A. Vega-Rodríguez
Keyword(s):  
Small World ◽  
Selection Model ◽  
Self Adaptive

Self-adaptivity for grid applications. An Efficient Resources Selection model based on evolutionary computation algorithms

2014 ◽  
Vol 40 (8) ◽  
pp. 345-361 ◽  
Author(s):  
María Botón-Fernández ◽  
Miguel A. Vega-Rodríguez ◽  
Francisco Prieto Castrillo
Keyword(s):  
Evolutionary Computation ◽  
Selection Model ◽  
Model Based ◽  
Grid Applications ◽  
Computation Algorithms

Self-zeroing self-adaptive control system

1963 ◽  
Vol 110 (12) ◽  
pp. 2280
Author(s):  
P.N. Nikiforuk ◽  
E.K. Lashyn
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Adaptive Control System ◽  
Self Adaptive

OPTIMIZATION OF ATTRIBUTE SELECTION MODEL USING BIO-INSPIRED ALGORITHMS

2019 ◽  
Vol 18 (1) ◽  
pp. 35-55
Author(s):  
Mohammad Aizat Basir ◽  
Yuhanis Yusof ◽  
Mohamed Saifullah Hussin
Keyword(s):  
Selection Model ◽  
Attribute Selection
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