Optimization of the whole plant instead of important individual units is essential for maximizing savings and operational efficiency. Often, there are conflicting objectives for optimizing industrial processes. Many previous studies on multi-objective optimization involved a few critical units (and not complete plants) using models and simulation programs specifically developed for the respecti...

In practice, the issue of mixing and chemical reactions is very important in the economic aspects of chemical reaction engineering. A major priority in industrial reactors is to optimize the yield of desired products. This optimization is a function of reactor geometry, the chemical and physical characteristics of the reacting system, the degree of mixing, and the mode of supplying the reactor ...

Process control should aim at not only ensuring that controlled variables to best follow their set points, but also requiring the optimal control for the operation of the whole plant to make the operational indices (e.g. quality, efficiency and consumptions during the production phase) into their targeted ranges. It also requires that operational indices for quality and efficiency should be enh...

Abstract: The horizontal continuous casting process has received a significant attention for near net shape casting of non ferrous metals and alloys. Numerical Simulation has been widely used for process design and optimization of continuous casting process. In the present study, a 3-dimensional heat flow model was developed to simulate the heat transfer and solidification in a horizontal b...

Nowadays study of the industrial pollutions has become a controversial issue to reduce the risks of them in all of the world. Studding of air, water, and soil pollutions as separately may cause neglect from address to a comprehensive look in industrial pollution issue. In addition, without the exact information about quantity and quality of pollution sources, reduce or eliminate industrial poll...

Genetic algorithms (GAs) are optimization tools that simulate evolutionary processes in order to develop solutions for a wide range of optimization problems. In recent years, they have increasingly gained acceptance in industry, as confidence improves in their abilities to solve complex problems that have previously appeared to be unsolvable. One example of an industrial application for GAs is ...