This study aims to investigate the different management policies of multi-reservoir systems and their impact on the demand supply and hydropower generation in Great Karun River basin. For this purpose, the semi-distributed simulation-optimization  model of the Great Karun River basin is developed. Also, the multi-objective particle swarm optimization algorithm is applied to optimize the develop...

one of the most important applications of multi-objective optimization is adjusting parameters ofpractical engineering problems in order to produce a more desirable outcome. in this paper, the decoupled sliding mode control technique (dsmc) is employed to stabilize an inverted pendulum which is a classic example of inherently unstable systems. furthermore, a new multi-objective particle swarm o...

under the smart grid environment, demand response resources (drrs) are introduced as a virtual power plant to enhance power system adequacy. drrs often fail to reduce their load due to some external factors. in this paper, a reliability model of a drr is constructed as multi-state conventional generation units, where the probability, frequency of occurrence, and departure rate of each state can...

Natural disasters and crisis are inevitable and each year impose destructive effects on human as injuries and damage to property. In natural  disasters and after the outbreak of the crisis, demand for logistical goods and services increase. Effective distribution of emergency aid could have a significant role in minimizing the damage and fatal accident. In this study, a three-level relief chain...

The rapid growth of multi-media and data rich applications has driven the bandwidth demand for long-haul fiberoptic links at unprecedented rates. At the same time, growing capacity demands also imposes challenges on bandwidth and interconnects in data centers. Optical fibers are continuing improving their performance to meet the bandwidth demand in both long haul and short reach applications. W...

Traffic equilibrium analysis 4~s provided useful insight into the transportation planning proce~s. Even for deterministic demand models, though, the state-of-the-art does not include any efficient approach that is applicable for general equilibrium models. Existing convex programming approaches, which are efficient and guarantee convergence, are restrj.cted to single commodity (mode, user class...

An analysis was conducted to examine the market visibility of small aircraft as a transportation mode in competition with automobile and scheduled commercial air travel by estimating the pool of users that would potentially switch on-demand air travel due to cost/time saving. These new aircraft greatly increase the practicality of regional aircraft as a transportation mode that can avoid the co...

In order to fuse a multi-source B2C E-commerce system, this paper implements a new multisource fusion B2C mode business system application development, which can provide customers with efficient and reliable comparison and cross-platform business system of choose and buy goods. By analyzing the Multi-source fusion B2C E-commerce system demand of business process reengineering and Petri net theo...