Learning process optimization by mathematical simulation means

Mathematical simulation of the directional crystallization process

The paper considers the issues of necessity of use of mathematical simulation of the structuring process by crystallization. Performing such mathematical simulation of the casting process with directed crystallization will allow developing both the theoretical procedure for evaluation of grain of the cast structure and specify the basic requirements to the thermal and physical parameters of the...

Exact optimization by means of sequentially adaptive Bayesian learning

Simulated annealing is a well-established approach to optimization that is robust for irregular objective functions. Recently it has been improved using sequential Monte Carlo. This paper presents further improvements that yield the global optimum with accuracy constrained only by the limitations of floating point arithmetic. Performance is illustrated using a standard set of six test problems ...

Portfolio Optimization by Means of Meta Heuristic Algorithms

Investment decision making is one of the key issues in financial management. Selecting the appropriate tools and techniques that can make optimal portfolio is one of the main objectives of the investment world. This study tries to optimize the decision making in stock selection or the optimization of the portfolio by means of the artificial colony of honey bee algorithm. To determine the effect...

Prediction of runoff and sediment from agricultural watersheds by a mathematical model 2 mathematical simulation

Modeling, Simulation and Optimization of Process Planning

Designing of production systems from the standpoint of necessary resources for carrying out the production process for many years present an important set of engineering tasks. In the scope of design of production systems, in addition to design of process planning, it is necessary to make the determination of normative parameters, by which the effectiveness of the production process will achiev...