Search Results - subject:"algorithms"

Semi-parametric modeling of excesses above high multivariate thresholds with censored data

Sabourin, Anne - In: Journal of Multivariate Analysis 136 (2015) C, pp. 126-146

How to include censored data in a statistical analysis is a recurrent issue in statistics. In multivariate extremes, the dependence structure of large observations can be characterized in terms of a non parametric angular measure, while marginal excesses above asymptotically large thresholds...

Persistent link: https://www.econbiz.de/10011208479

On the role of lagged exogenous variables and spatio–temporal correlations in improving the accuracy of solar forecasting methods

Zagouras, Athanassios; Pedro, Hugo T.C.; Coimbra, … - In: Renewable Energy 78 (2015) C, pp. 203-218

We propose and analyze a spatio–temporal correlation method to improve forecast performance of solar irradiance using gridded satellite-derived global horizontal irradiance (GHI) data. Forecast models are developed for seven locations in California to predict 1-h averaged GHI 1, 2 and 3 h...

Persistent link: https://www.econbiz.de/10011208650

Assessment of optimal irrigation water allocation for pressurized irrigation system using water balance approach, learning machines, and remotely sensed data

Hassan-Esfahani, Leila; Torres-Rua, Alfonso; McKee, Mac - In: Agricultural Water Management 153 (2015) C, pp. 42-50

optimization sub-module use genetic algorithms (GA) to identify optimal crop water application rates based on the crop type …

Persistent link: https://www.econbiz.de/10011208824

Genetic algorithms for condition-based maintenance optimization under uncertainty

Compare, M.; Martini, F.; Zio, E. - In: European Journal of Operational Research 244 (2015) 2, pp. 611-623

This paper proposes and compares different techniques for maintenance optimization based on Genetic Algorithms (GAs …

Persistent link: https://www.econbiz.de/10011209317

Refined ranking relations for selection of solutions in multi objective metaheuristics

Moritz, Ruby L.V.; Reich, Enrico; Schwarz, Maik; Bernt, … - In: European Journal of Operational Research 243 (2015) 2, pp. 454-464

Two methods for ranking of solutions of multi objective optimization problems are proposed in this paper. The methods can be used, e.g. by metaheuristics to select good solutions from a set of non dominated solutions. They are suitable for population based metaheuristics to limit the size of the...

Persistent link: https://www.econbiz.de/10011209348

Preference-inspired co-evolutionary algorithms using weight vectors

Wang, Rui; Purshouse, Robin C.; Fleming, Peter J. - In: European Journal of Operational Research 243 (2015) 2, pp. 423-441

Decomposition based algorithms perform well when a suitable set of weights are provided; however determining a good set … decomposition based algorithms that use random, evenly distributed and adaptive weights on a set of problems encompassing the range … objectives. Experimental results show that PICEA-w outperforms the comparison algorithms for most of the problems and is less …

Persistent link: https://www.econbiz.de/10011209353

GP-DEMO: Differential Evolution for Multiobjective Optimization based on Gaussian Process models

Mlakar, Miha; Petelin, Dejan; Tušar, Tea; Filipič, Bogdan - In: European Journal of Operational Research 243 (2015) 2, pp. 347-361

This paper proposes a novel surrogate-model-based multiobjective evolutionary algorithm called Differential Evolution for Multiobjective Optimization based on Gaussian Process models (GP-DEMO). The algorithm is based on the newly defined relations for comparing solutions under uncertainty. These...

Persistent link: https://www.econbiz.de/10011209354

The iPICEA-g: a new hybrid evolutionary multi-criteria decision making approach using the brushing technique

Wang, Rui; Purshouse, Robin C.; Giagkiozis, Ioannis; … - In: European Journal of Operational Research 243 (2015) 2, pp. 442-453

Various preference-based multi-objective evolutionary algorithms have been developed to help a decision-maker search …

Persistent link: https://www.econbiz.de/10011209367

Multi-objectivization, fitness landscape transformation and search performance: A case of study on the hp model for protein structure prediction

Garza-Fabre, Mario; Toscano-Pulido, Gregorio; … - In: European Journal of Operational Research 243 (2015) 2, pp. 405-422

problem, has significantly increased the performance of search algorithms. The present study goes further on this topic. With …

Persistent link: https://www.econbiz.de/10011209407

Hybrid optimization algorithm for thermal analysis in a solar parabolic trough collector based on nanofluid

Mohammad Zadeh, P.; Sokhansefat, T.; Kasaeian, A.B.; … - In: Energy 82 (2015) C, pp. 857-864

In recent years, many research works focused on improving and reducing the cost of solar collectors. This paper focuses upon the development of an efficient modeling and optimization of solar collector. The approach adopted in modeling utilizes a parabolic trough collector absorber tube with...

Persistent link: https://www.econbiz.de/10011209542