Wolfram|Alpha Computational Knowledge Engine software, despite all internet search engines, tries to provide the the best answer for a question or compute an equation in the most correct way based on the current knowledge. Therefore, given the unique characteristic of Wolfram|Alpha and its vast applications, the aim of the present article is to familiarize the biomedical scientists with...

for large and complex reacting systems, computational efficiency becomes a critical issue in process simulation, optimization and model-based control. mechanism simplification is often a necessity to improve computational speed. we present a novel approach to simplification of reaction networks that formulates the model reduction problem as an optimization problem and solves it using genetic al...

Model-based predictive control (MPC) is one of the most efficient techniques that is widely used in industrial applications. In such controllers, increasing the prediction horizon results in better selection of the optimal control signal sequence. On the other hand, increasing the prediction horizon increase the computational time of the optimization process which make it impossible to be imple...

The aim of this paper is the evaluation overall performance of buyer-supplier relationships.In some situations the cost of inputs in a buyer-supplier chain are available, on the other hand, achieving a low cost position is necessary for most businesses. And, in a buyer-supplier chain wants to know how assign inputs with the least cost. This paper introduces cost efficiency with same and dierent...

task assignment problem (tap) involves assigning a number of tasks to a number of processors in distributed computing systems and its objective is to minimize the sum of the total execution and communication costs, subject to all of the resource constraints. tap is a combinatorial optimization problem and np-complete. this paper proposes a hybrid meta-heuristic algorithm for solving tap in a h...