The efficiency and the integrality of the model were validated using the case study,the optimum solution was given considering the currency, the number and capacity ofthe facilities restrains.

In this paper, the kinetic free surface boundary condition(KFSBC) and dynamic free surface boundary condition (DFSBC) can be handled directly instead of using the equivalent conditions, and the unique optimum solution could be given.

Taking aim at the problem of multi-variable and multiple local extreme values which generally exist in the optimization design of mechanical engineering, a niche genetic algorithm is introduced to search the global optimal solution in this paper.

To deal with the problem of seeking optimal solution for mechanical projects in manufacturing,a new model of genetic algorithms based on double helix chromosome and multi-layer population structure was proposed.

The structure of the optimum solution is found on the basis of the gas lubrication approximation with and without constraints on the height of the bearing pad (pocket).

The dependences of the rate of dissolution of gold on the concentration ratio between iron(III) and T and pH were determined, and optimum solution compositions for the dissolution of gold were found.

Computer-aided optimum solution for scattering parameter measurements of two-port lossless network

It is proved that to find the optimum solution from the 2N states can be reduced to calculate theN states inK-line algorithm.

We first present a formal method to describe the task partition problem, then give a heuristic algorithm to solve the task partition problem that gives an approximate optimum solution.

At present there are still few programs for calculating either discrete quantities or discrete quantities and continuous quantities optimal design. However, if there are discrete quantities in the design variables, such as the numbers of gear teeth, gear modulus and the thichness of the steel plate, one needs a program for integer variables. This article describes a method based on the grid method which calculates iterative-ly according to the variations of design variables using continuous quantities or discrete...

At present there are still few programs for calculating either discrete quantities or discrete quantities and continuous quantities optimal design. However, if there are discrete quantities in the design variables, such as the numbers of gear teeth, gear modulus and the thichness of the steel plate, one needs a program for integer variables. This article describes a method based on the grid method which calculates iterative-ly according to the variations of design variables using continuous quantities or discrete quantities respectively to find the ideal optimal solution. Based on this method, a program has been developed for integer variables in optimal design using ALGOL, and some examples are also attached. This program is easy to understand and quite flexible. It could be helpful in calculating the solutions to small scale questions with discrete and continuous variables.

This report examines adaptive model based strategies for obtaining optimum process operating conditions. Two strategies are examined: a modified two-step approach and an approximate linear model approach. To assess the performance, the approaches are applied to a fuel gas system consisting of a vaporiser and gas mixing drum, for the cases where the performance objective of the system is unconstrained and constrained. Both of the strategies are seen to provide the optimum process solution but the approximate...

This report examines adaptive model based strategies for obtaining optimum process operating conditions. Two strategies are examined: a modified two-step approach and an approximate linear model approach. To assess the performance, the approaches are applied to a fuel gas system consisting of a vaporiser and gas mixing drum, for the cases where the performance objective of the system is unconstrained and constrained. Both of the strategies are seen to provide the optimum process solution but the approximate linea(?) model approach is seen to be considerably more efficient and more stable than modified two-step method.

The performance curves of continuous gas lift wells can be fit with one- dimensional binomial. The optimum allocations of inject gas rate for a continuous gas liftsystem are treated with quadratic programming. According to the concrete condition ofwells, the inject gas rate are constrained. Using Kuhn - Tucker theorem of non - linearoptimization under ineguality constraint, the equivalent problem is obtained. Solving theequivalent problem, the optimum gas allocation is obtained. The results show that theproposed...

The performance curves of continuous gas lift wells can be fit with one- dimensional binomial. The optimum allocations of inject gas rate for a continuous gas liftsystem are treated with quadratic programming. According to the concrete condition ofwells, the inject gas rate are constrained. Using Kuhn - Tucker theorem of non - linearoptimization under ineguality constraint, the equivalent problem is obtained. Solving theequivalent problem, the optimum gas allocation is obtained. The results show that theproposed method is more simple and has higher accuracy.