Opposition-based Learning (OBL) is a new concept in machine learning, inspired from the
opposite relationship among entities. In 2005, for the first time the concept of opposition was …

Diverse forms of opposition are already existent virtually everywhere around us, and utilizing
opposite numbers to accelerate an optimization method is a new idea. Since 2005 …

Abstract Sine Cosine Algorithm (SCA) that is one of the population-based metaheuristic
optimization algorithms basically consists of the updating mechanism based on sine and …

Process control and optimization is important in ensuring a process in sustaining profitable
income while maintaining the required quality. The fermentation process has attracted …

Chemical reactors are employed to produce several materials, which are utilized in
numerous applications. The wide use of these chemical engineering units shows their …

The determination of the optimal neural network topology is an important aspect when using
neural models. Due to the lack of consistent rules, this is a difficult problem, which is solved …

Differential evolution (DE), belonging to the evolutionary algorithm class, is a simple and
powerful optimizer with great potential for solving different types of synthetic and real-life …

Iron ore sintering is one of the most energy-consuming processes in steelmaking. Since its
main source of energy is the combustion of carbon, it is important to improve the carbon …

Abstract Chaotic based Differential Evolution (CDE) algorithm is presented to determine the
optimal control variables for the optimization of Baker's Yeast drying process. The chaotic …

Mathematical models that represent food processing operations are characterized by the
nonlinearity of their dynamic behavior with possible discrete events, the existence of several …