This article is cited in 1 paper

Software of Computer, Telecommunications and Control Systems

Multicriterial optimisation of rectificational process based on SPEA2 algorithm

D. A. Kostenko, V. A. Onufriev, V. P. Shkodyrev

Peter the Great St. Petersburg Polytechnic University

Abstract: This article describes the process of multicriterial optimization using the Pareto efficiency method. A large-scale industrial plant was taken as a controllable object. The object was decomposed and represented as a hierarchy of embedded orgraphs. The orgraph’s vertices mark the current state of the product while the edges stand for technological operations. Based on the object’s technical documentation, a list of influencing factors is created. The list contains every technological parameter affecting the quality of the final product. A neural network trained on a set of statistical data is utilized to identify dependencies between discrete influencing factors and the product quality. These dependencies are then processed with the SPEA2 algorithm, outputting a set of combinations of optimized parameters values known as the Pareto front.

Keywords: Pareto efficiency, multicriterial optimisation, identification, SPEA2, neural network.

UDC: 004.942

Received: 30.12.2018

DOI: 10.18721/JCSTCS.12204