Capacity control is a very important problem in civil infrastructure operation, but no general model exists for it. In this project we • Formulate the real-time capacity control problem of a single facility • Perform dynamic programming to search for the optimal solution • Implement piecewise linear regression to update the objective function, and SCP to update the policy • Extend the model to ...

Traditional languages like ADA use a model of sequential control with a side-effectable memory. Combination or aggregation mechanisms are used to compose complex data structures from simpler ones. Most programming languages provide extensive mechanisms for defining abstract data types from primitive ones, but very few programming languages provide mechanisms for defining control abstractions (b...

This paper proposes a bi-objective reliable supply chain network design that immunizes the network against different sources of uncertainties. In this regard, scenario based stochastic programming method is applied to model different disruption scenarios affecting accurate performance of network stages. Also, reliable and unreliable facilities are suggested for lessening vulnerability of networ...

in the portfolio selection problem, the manager considers several objectives simultaneously such as the rate of return, the liquidity and the risk of portfolios. these objectives are conflicting and incommensurable. moreover, the objectives can be imprecise. generally, the portfolio manager seeks the best combination of the stocks that meets his investment objectives. the imprecise goal program...

in this paper, the cost and income efficiency models have been considered with regard to the multiple objective programming structures. for finding the efficient points in purposed molp problem, some various methods like lexicography & the weighted sum can be used. so by introducing the molp problem the cost & income efficiencies will be achieved. in the present study, the molp problem ...

‎in this paper‎, ‎some kkt type sufficient global optimality conditions‎ ‎for general mixed integer nonlinear programming problems with‎ ‎equality and inequality constraints (minpp) are established‎. ‎we achieve‎ ‎this by employing a lagrange function for minpp‎. ‎in addition‎, ‎verifiable sufficient global optimality conditions for general mixed‎ ‎integer quadratic programming problems are der...

Two-stage decomposition-dynamic programming aggregation method has been first proposed and introduced to solve the mathematical model of daily optimal operation for parallel pumping stations with adjustable-blade units. Taking minimal daily electricity cost of single pump station as objective function, the water quantity pumped by each station as coordinated variable, by means of the type of th...

protein aggregation and precipitation is associated with many debilitating diseases including alzheimer's, parkinson's, and light-chain amyloidosis. β-casein, a member of the casein family, has been demonstrated to exhibit chaperone-like activity to protect protein form aggregation. hofmeister salts (lyotropice series) are a class of ions which have an effect on the solubility and also the stab...

This article studies a model for risk aversion when designing flexible capacity expansion plan multi-facility system. In this setting, the decision maker can dynamically expand of each facility given observations uncertain demand. We situation as multi-stage stochastic programming problem, and we express through Conditional Value-at-Risk (CVaR) mean-CVaR objective. optimize problem over tractab...