In part I the authors first review the formal theory of dynamic optimization; they then present the numerical tools and … link between the dynamic programming problem and data. Part II is devoted to the application of dynamic programming to … instance the authors present the specific optimization problem as a dynamic programming problem, characterize the optimal …

function that allows fast optimization and function approximation with neuro-fuzzy networks. …

function that allows fast optimization and function approximation with neuro-fuzzy networks. …

to reduce the national CO2 emissions level. We apply optimization approach to investigate this problem by including … optimization showed that diesel and gas turbine is not needed in the power plant system. Further, the simulation showed that if … increase the cost of power plant or equivalently increase tax revenue to about 2.1% of GDP in a year. Second, combine cycle has …

This paper constructs an alternative investment strategy to portfolio optimization model in the framework of the Mean … normally distributed. The traditional Mean–Variance optimization approach has only one objective, which fails to capture the … problem. The proposed optimization model which is an optimal portfolio strategy is produced for investors of various risk …

mitigate the damages and save people’s lives. Optimization and simulation modeling have become powerful and useful tools to … help decision makers tackle problems related to disaster relief supply chain. This paper reviews optimization and … optimization problems of disaster relief supply chain under different types of disastrous events. We review the literature of …

We study properties of the solutions to a parametrized constrained optimization problem in Hilbert spaces. A special …