When programming the daily generation strategies, power plants consider not only the competitive bids in spot market and the original purchase contracts with distribution companies or users, but also the spinning rese...When programming the daily generation strategies, power plants consider not only the competitive bids in spot market and the original purchase contracts with distribution companies or users, but also the spinning reserve. Aiming at this goal, the paper puts forward a daily generating model, which is a nonlinear programming model containing integral and continous variables, to coordinate the power volumes of competitive bids, contract and the spinning reserve of power plants and thus to maximize their profits. Then, the model is simplified to ease its solving process, and solved by priority ranking method based on efficiency and quadratic programming. The simulation result of a case study shows that the proposed scheme is reasonable and practicable.展开更多
In supply chain management (SCM) environment, we consider a resource-constrained project scheduling problem (rcPSP) model as one of advanced scheduling problems considered by a constraint programming technique. We de...In supply chain management (SCM) environment, we consider a resource-constrained project scheduling problem (rcPSP) model as one of advanced scheduling problems considered by a constraint programming technique. We develop a hybrid genetic algorithm (hGA) with a fuzzy logic controller (FLC) to solve the rcPSP which is the well known NP-hard problem. This new approach is based on the design of genetic operators with FLC through initializing the serial method which is superior for a large rcPSP scale. For solving these rcPSP problems, we first demonstrate that our hGA with FLC (flc-hGA) yields better results than several heuristic procedures presented in the literature. We have revealed a fact that flc-hGA has the evolutionary behaviors of average fitness better than hGA without FLC.展开更多
文摘When programming the daily generation strategies, power plants consider not only the competitive bids in spot market and the original purchase contracts with distribution companies or users, but also the spinning reserve. Aiming at this goal, the paper puts forward a daily generating model, which is a nonlinear programming model containing integral and continous variables, to coordinate the power volumes of competitive bids, contract and the spinning reserve of power plants and thus to maximize their profits. Then, the model is simplified to ease its solving process, and solved by priority ranking method based on efficiency and quadratic programming. The simulation result of a case study shows that the proposed scheme is reasonable and practicable.
文摘In supply chain management (SCM) environment, we consider a resource-constrained project scheduling problem (rcPSP) model as one of advanced scheduling problems considered by a constraint programming technique. We develop a hybrid genetic algorithm (hGA) with a fuzzy logic controller (FLC) to solve the rcPSP which is the well known NP-hard problem. This new approach is based on the design of genetic operators with FLC through initializing the serial method which is superior for a large rcPSP scale. For solving these rcPSP problems, we first demonstrate that our hGA with FLC (flc-hGA) yields better results than several heuristic procedures presented in the literature. We have revealed a fact that flc-hGA has the evolutionary behaviors of average fitness better than hGA without FLC.
