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Now showing items 11-16 of 16

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The weighted independent domination problem: ILP model and algorithmic approaches 

Davidson, P.P.; Blum, C.; Lozano, J.A.Autoridad BCAM (2017-06-01)
This work deals with the so-called weighted independent domination problem, which is an N P -hard combinatorial optimization problem in graphs. In contrast to previous theoretical work from the liter- ature, this paper ...
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An investigation of clustering strategies in many-objective optimization: the I-Multi algorithm as a case study 

Castro, O.R.; Pozo, A.; Lozano, J.A.Autoridad BCAM; Santana, R. (2017-03-30)
A variety of general strategies have been applied to enhance the performance of multi-objective optimization algorithms for many-objective optimization problems (those with more than three objectives). One of these strategies ...
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Analysis of a hybrid Genetic Simulated Annealing strategy applied in multi-objective optimization of orbital maneuvers 

Shirazi, A.Autoridad BCAM (2017-03-27)
Optimization of orbital maneuvers is one of the main issues in conceptual and preliminary design of spacecraft in different space missions. The main issue in optimization of high-thrust orbit transfers is that the common ...
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Multi-objective Optimization of Orbit Transfer Trajectory Using Imperialist Competitive Algorithm 

Shirazi, A.Autoridad BCAM (2017-03-04)
This paper proposes a systematic direct approach to carry out effective multi-objective optimization of space orbit transfer with high-level thrust acceleration. The objective is to provide a transfer trajectory with ...
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Hybridizing Cartesian Genetic Programming and Harmony Search for Adaptive Feature Construction in Supervised Learning Problems 

Elola, A.; Del Ser, J.Autoridad BCAM; Bilbao, M.; Perfecto, C.; Alexandre , E.; Salcedo-Sanz, S. (2017-02-28)
The advent of the so-called Big Data paradigm has motivated a flurry of research aimed at enhancing machine learning models by following very di- verse approaches. In this context this work focuses on the automatic con- ...
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An efficient approximation to the K-means clustering for Massive Data 

Capo, M.; Pérez, A.Autoridad BCAM; Lozano, J.A.Autoridad BCAM (2017-02-01)
Due to the progressive growth of the amount of data available in a wide variety of scientific fields, it has become more difficult to manipulate and analyze such information. In spite of its dependency on the initial ...
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AuthorLozano, J.A. (13)Del Ser, J. (3)Inza, I. (3)Pérez, A. (3)Shirazi, A. (3)Blum, C. (2)Ceberio, J. (2)Mendiburu, A. (2)Oregui, I. (2)Alexandre , E. (1)... másSubjectAerospace Engineering (3)Evolutionary Algorithm (3)Genetic Algorithm (2)Optimization (2)Spacecraft (2)Bayesian network classifiers (1)Cartesian Genetic Programming (1)Circular Variables (1)clustering (1)Combinatorial Optimisation (1)... másFecha
2017 (16)

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