Search Results - subject:"optimization algorithm"

Adapting and optimizing the systemic model of banking originated losses (SYMBOL) tool to the multi-core architecture

Muresano, Ronal; Pagano, Andrea - In: Computational economics 48 (2016) 2, pp. 253-280

Persistent link: https://www.econbiz.de/10011646741

A Closer Look at ADC Multivariate GARCH

Haftel, Jared - 2009

the parameters of the model using the Broyden-Fletcher-Goldfarb-Shanno (BFGS)optimization algorithm. We nd several …

Persistent link: https://www.econbiz.de/10009475516

Optimal design of the heat pipe using TLBO (teaching–learning-based optimization) algorithm

Rao, R.V.; More, K.C. - In: Energy 80 (2015) C, pp. 535-544

working fluid. In this paper, a recently proposed new stochastic advanced optimization algorithm called TLBO (Teaching …–Learning-Based Optimization) algorithm is used for single objective as well as multi-objective design optimization of heat pipe. It is easy to …

Persistent link: https://www.econbiz.de/10011190896

Hybrid bee colony optimization for examination timetabling problems

Alzaqebah, M.; Abdullah, S. - In: Computers & operations research : and their … 54 (2015), pp. 142-154

Persistent link: https://www.econbiz.de/10010494851

Global resolution of the support vector machine regression parameters selection problem with LPCC

Lee, Yu-Ching; Pang, Jong-Shi; Mitchell, John E. - In: EURO journal on computational optimization 3 (2015) 3, pp. 197-261

Persistent link: https://www.econbiz.de/10011379670

Mean-variance model for power system economic dispatch with wind power integrated

Li, Y.Z.; Wu, Q.H.; Li, M.S.; Zhan, J.P. - In: Energy 72 (2014) C, pp. 510-520

This paper presents the mean-variance (MV) model to solve the power system economic dispatch with wind power integrated, based on the optimal power flow problem. The MV model considers the profit and risk simultaneously under the environment of uncertain wind power, which is formulated as a...

Persistent link: https://www.econbiz.de/10010809504

Parameter identification in mixed Brownian–fractional Brownian motions using Powell's optimization algorithm

Zhang, Pu; Sun, Qi; Xiao, Wei-Lin - In: Economic Modelling 40 (2014) C, pp. 314-319

approximation by random walks of the driving noise. By adapting the Powell fast optimization algorithm, these estimators can be …

Persistent link: https://www.econbiz.de/10010781984

Water Transfer Triggering Mechanism for Multi-Reservoir Operation in Inter-Basin Water Transfer-Supply Project

Zeng, Xiang; Hu, Tiesong; Guo, Xuning; Li, Xinjie - In: Water Resources Management 28 (2014) 5, pp. 1293-1308

optimization algorithm (IPSO) with a simulation model is adopted for optimizing the decision variables. The results show that the …

Persistent link: https://www.econbiz.de/10010794755

Estimates of energy consumption in Turkey using neural networks with the teaching–learning-based optimization algorithm

Uzlu, Ergun; Kankal, Murat; Akpınar, Adem; Dede, Tayfun - In: Energy 75 (2014) C, pp. 295-303

–learning-based optimization) algorithm to estimate energy consumption in Turkey. Gross domestic product, population, import, and export data were …

Persistent link: https://www.econbiz.de/10011055569

A review on simulation-based optimization methods applied to building performance analysis

Nguyen, Anh-Tuan; Reiter, Sigrid; Rigo, Philippe - In: Applied Energy 113 (2014) C, pp. 1043-1058

Recent progress in computer science and stringent requirements of the design of “greener” buildings put forwards the research and applications of simulation-based optimization methods in the building sector. This paper provides an overview on this subject, aiming at clarifying recent...

Persistent link: https://www.econbiz.de/10011041314