POWER CONTROL AND OPTIMIZATION: Proceedings of the 7th Global Conference on Power Control and Optimization
978-983-44483-63
Multi-Objective Optimization of Bioethanol Production Process Using Chaotic Differential Evolution
T. Ganesan, Elamvazuthi, K.Z.K. Shaari, P. Vasant
PCO Conf-Proc 2008 (2013), - PDF
Abstract. In process optimization, situations which are multi-objective (MO), where each of the objectives covers different aspects of the problem are encountered with increasing frequency. Therefore, it is critical for the process engineer to have a series of solution choices before selecting of the best solution. In this work, an approach that enhances the differential evolution (DE) algorithm using ideas from chaos theory is introduced. Analysis on the dominance of the solution set produced by these algorithms was carried out using the Hypervolume indicator. This method then was used to generate highly diverse and optimal solutions to the MO bioethanol production process which is a real-world industrial scale problem. Comparative analyses were then carried out with the algorithms developed and employed in this work. Studies on the performance as well as the solution quality produced by these algorithms are presented in this paper
© 2013 PCO based on American Institute of Physics