We present an empirical study of process parameter tuning in industrial continuous casting of steel where the goal is to assure the highest possible quality of the cast steel through proper parameter setting. The process is assumed to be under steady-state conditions and the considered optimization task is to set 18 coolant flows in the caster secondary cooling zone to achieve the target surfac...

In today’s globally competitive marketplace, industrial plants are looking at new ways to increase plant efficiency, production rates, safety and reliability. Engineer education, training and plant optimization play a key role in satisfying technological, economical and environmental constraints. Furthermore, control system optimization is the basis for system improvement and advanced process c...

We deal with the optimization of process parameters in industrial continuous casting of steel. The process requires fine-tuning of numerous parameters with respect to the metallurgical cooling criteria to achieve the highest possible quality of the cast steel. We tackle the problem with various optimization methods: local optimization, conjugate gradient, downhill simplex and several types of e...

background: bromide is found naturally in groundwater and surface water. the rapid growth of industrial activities, drainage of surface runoff, and use of methyl bromide in pesticides has increased bromide discharge to the environment. disinfection of water-containing bromide causes the creation of additional products of organo-halogenated that are considered cancer-causing agents. in this stud...

The vertical integration of agriculturaland food-industrial processchains gains importance because of consumer-demand for high quality and nonpolluting produced food is increasing. Chain-encompassing process-organizations can contribute to an optimization of the quality characteristics of the products. In this paper a concept of an environmental-management-system in an agriculturaland food-indu...

In the last two decades, multi-objective evolutionary algorithms (MOEAs) have become ever more used in scientific and industrial decision support and decision making contexts the require an a posteriori articulation of preference. The present work is focused on a comparative analysis of the performance of two master-slave parallelization (MSP) methods, the canonical generational scheme and the ...

The extractive distillation of ethanol using glycerol as entrainer is studied, where a Numerical – Optimization based design, operation and controls were performed. The research includes several steps, where different kinds of numerical optimization are involved. Through the Optimization based design, it is possible to obtain both optimal operating conditions and optimal design. The solutions o...