Search Results - subject:"Algorithms"

Solving air traffic conflict problems via local continuous optimization

Peyronne, Clément; Conn, Andrew R.; Mongeau, Marcel; … - In: European Journal of Operational Research 241 (2015) 2, pp. 502-512

This paper first introduces an original trajectory model using B-splines and a new semi-infinite programming formulation of the separation constraint involved in air traffic conflict problems. A new continuous optimization formulation of the tactical conflict-resolution problem is then proposed....

Persistent link: https://www.econbiz.de/10011077632

An introduction to Monte Carlo methods

Walter, J.-C.; Barkema, G.T. - In: Physica A: Statistical Mechanics and its Applications 418 (2015) C, pp. 78-87

algorithms are more efficient. We introduce the rejection free (or continuous time) algorithm and describe in details an …

Persistent link: https://www.econbiz.de/10011077842

Optimal wind turbine selection methodology: A case-study for Búrfell, Iceland

Perkin, Samuel; Garrett, Deon; Jensson, Pall - In: Renewable Energy 75 (2015) C, pp. 165-172

theoretical wind turbine designs based on Blade Element Momentum theory, multiple Evolutionary Computing algorithms, and a …

Persistent link: https://www.econbiz.de/10011116533

Incremental network design with maximum flows

Kalinowski, Thomas; Matsypura, Dmytro; Savelsbergh, … - In: European Journal of Operational Research 242 (2015) 1, pp. 51-62

We study an incremental network design problem, where in each time period of the planning horizon an arc can be added to the network and a maximum flow problem is solved, and where the objective is to maximize the cumulative flow over the entire planning horizon. After presenting two mixed...

Persistent link: https://www.econbiz.de/10011117493

Mining association rules using hybrid genetic algorithm and particle swarm optimisation algorithm

Indira, K.; Kanmani, S. - In: International Journal of Data Analysis Techniques and … 7 (2015) 1, pp. 59-76

Evolutionary computation has become the popular choice for solving complex problems, which are otherwise difficult to solve by traditional methods. Genetic algorithm (GA) and particle swarm optimisation (PSO) are both population-based heuristic search methods, which are well suited for mining...

Persistent link: https://www.econbiz.de/10011207794

A model of the assessment and optimisation of production process quality using the fuzzy sets and genetic algorithm approach

Nestic, Snezana; Stefanovic, Miladin; Djordjevic, Aleksandar - In: European Journal of Industrial Engineering 9 (2015) 1, pp. 77-99

In this paper, the production process is decomposed for typical manufacturing small and medium sized enterprises (SMEs) and the metrics of the defined sub processes, based on the requirements of ISO 9001:2008, are developed. The weight values of production process performance indicators are...

Persistent link: https://www.econbiz.de/10011207819

Evolutionary Neural Network model for West Texas Intermediate crude oil price prediction

Chiroma, Haruna; Abdulkareem, Sameem; Herawan, Tutut - In: Applied Energy 142 (2015) C, pp. 266-273

–NN approach is better than the baseline algorithms in terms of prediction accuracy and computational efficiency. Mann–Whitney test …

Persistent link: https://www.econbiz.de/10011208362

Review of performance optimization techniques applied to wind turbines

Chehouri, Adam; Younes, Rafic; Ilinca, Adrian; Perron, Jean - In: Applied Energy 142 (2015) C, pp. 361-388

This paper presents a review of the optimization techniques and strategies applied to wind turbine performance optimization. The topic is addressed by identifying the most significant objectives, targets and issues, as well as the optimization formulations, schemes and models available in the...

Persistent link: https://www.econbiz.de/10011208387

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