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A global optimization framework for stochastic integrated refinery planning with nonlinear unit models under demand and price uncertainties
(2020-09-11)
The refining industry is facing increased volatility in the global market such as lower economic margins. In this situation, refinery production planning becomes a substantial tool to utilize all potentials to extend the ...
Economic optimization models of windpower systems /
(The University of Oklahoma., 1975)
Wellbore Cleanout in Inclined and Horizontal Wellbores – The Effects of Fluid Rheology, Inclination, and Solids Density.
(2019-08-30)
Recent technical improvements in the drilling process have allowed drilling of high inclination and horizontal wells with longer laterals. The frequency of such wells has increased over time due to their advantage of ...
On merging sequencing and scheduling theory with genetic algorithms to solve stochastic job shops.
(1997)
The stochastic job shop problem was solved using two genetic algorithms. The first was a stochastic constrained genetic algorithm to minimize total tardiness and to evaluate chromosomes using probability Gantt charting. ...
Generation asset planning under uncertainty.
(2005)
With the introduction of competition in the electric power industry, generation asset planning must change. In this changed environment, energy companies must be able to capture the extrinsic value of their asset operations ...
Estimation of production cost variance using chronological simulation.
(1997)
Production costs are usually simulated on the basis that the availability of generation capacity is subject to random failures of system generating units. In order to estimate the variance of cost, both the random forced ...
Decomposition techniques for support vector machines training and applications.
(2002)
The theory of the Support Vector Machine (SVM) algorithm is based on statistical learning theory and can be applied to pattern recognition and regression. Training of SVMs leads to either a quadratic programming (QP) ...
A mean-variance model for stochastic time-dependent networks.
(2005)
Traditional models of route generation are based on choosing routes that minimize expected travel-time between origin and destination. The variance of the least-time path is not included in the path selection. In addition, ...
The design of parallel channel queueing systems /
(The University of Oklahoma., 1975)