Few Problems in Accelerating Foreign Economic & Trade Development

China’s economic reform has progressed to setting up a socialist market economy. Since 1994, a series of reform measures in taxation, finance, planning, foreign exchange and foreign trade adopted by the State have promoted the development of the national economy, as well as foreign economic and trade development. The furtherance of the good situation of the economy and foreign trade relies on the following work: 1, Speeding up the development

A Note on an Economic Lot-sizing Problem with Perishable Inventory and Economies of Scale Costs:Approximation Solutions and Worst Case Analysis

This paper presents an economic lot-sizing problem with perishable inventory and general economies of scale cost functions. For the case with backlogging allowed, a mathematical model is formulated, and several properties of the optimal solutions are explored. With the help of these optimality properties, a polynomial time approximation algorithm is developed by a new method. The new method adopts a shift technique to obtain a feasible solution of subproblem and takes the optimal solution of the subproblem as an approximation solution of our problem. The worst case performance for the approximation algorithm is proven to be （4√2 ＋ 5）/7. Finally, an instance illustrates that the bound is tight.

Development of Hybrid Algorithm Based on PSO and NN to Solve Economic Emission Dispatch Problem

The electric power generation system has always the significant location in the power system, and it should have an efficient and economic operation. This consists of the generating unit’s allocation with minimum fuel cost and also considers the emission cost. In this paper we have intended to propose a hybrid technique to optimize the economic and emission dispatch problem in power system. The hybrid technique is used to minimize the cost function of generating units and emission cost by balancing the total load demand and to decrease the power loss. This proposed technique employs Particle Swarm Optimization (PSO) and Neural Network (NN). PSO is one of the computational techniques that use a searching process to obtain an optimal solution and neural network is used to predict the load demand. Prior to performing this, the neural network training method is used to train all the generating power with respect to the load demand. The economic and emission dispatch problem will be solved by the optimized generating power and predicted load demand. The proposed hybrid intelligent technique is implemented in MATLAB platform and its performance is evaluated.

A solution strategy for distributed uncertain economic dispatch problems via scenario theory

In this paper,an uncertain economic dispatch problem(EDP)is considered for a group of coopertive agents.First,let each agent extract a set of samples(scenarios)from the uncertain set,and then a scenario EDP is obtained using these scenarios.Based on the scenario theory,a prior certifcation is provided to evaluate the probabilistic feasibility of the scenario solution for uncertain EDP.To facilitate the computational task,a distributed solution strategy is proposed by the alternating direction method of multipliers(ADMM)and a fnite-time consensus strategy.Moreover,the distributed strategy can solve the scenario problem over a weight-balanced directed graph.Finally,the proposed solution strategy is applied to an EDP for a power system involving wind power plants.

Fixed-time distributed robust optimization for economic dispatch with event-triggered intermittent control

This paper proposes a fixed-time distributed robust optimization approach for solving economic dispatch problems.Based on an integral sliding mode control scheme,the proposed multi-agent system converges to an optimal solution to an economic dispatch problem before a fixed time.In addition,the proposed multi-agent system can suppress the disturbance in a fixed time.To reduce the cost of sliding mode controls,we propose a distributed event-triggered intermittent control which reduces the sliding mode control time by setting a control triggering rule on the basis of two boundary functions of a Lyapunov function.The simulation results of three power systems illustrate the characteristics and effectiveness of the theoretical results.

Some Problems in the Economic Development of Ningbo City

I. Present SituationNingbo is the second largest city ofZhejiang Province and one of the 14 coastalcities which has been disignated for furtheropening up to the outside world. NingboCity is situated in the northeasten part ofZhejiang Province, with 5 counties and onecity under its jurisdiction (Qingxian,Fenghua, Ninghai, Xiangshan and

Overall Economic Situation of China's Titanium Industry and Existing Problems

The year 2015 is a year of transition and development for the Chinese economy,it also marks a year of industrial structure adjustment in the titanium industry.Owing to investment slowdown,capacity expansion,shrinking demand as well as structural surplus of titanium products,prices of titanium products remained at low level.Titanium smelting and small&medium

Reflections on the Food Problem Under Market Economic Conditions in China

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