Restart Operator Meta-heuristics for a Problem-Oriented Evolutionary Strategies Algorithm in Inverse Mathematical MISO Modelling Problem Solving

5th International Workshop on Mathematical Models and their Applications 2016

Ryzhikov, I.S.^1 ; Semenkin, E.S.^1

Siberian State Aerospace University, Krasnoyarsk, Russia^1

关键词: Control inputs;    Evolutionary strategies algorithms;    Initial point;    Linear differential equation;    Meta heuristics;    Multiple inputs and a single outputs;    Observation data;    Optimization techniques;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/173/1/012015/pdf
DOI  :  10.1088/1757-899X/173/1/012015

来源: IOP

【 摘 要 】

This study is focused on solving an inverse mathematical modelling problem for dynamical systems based on observation data and control inputs. The mathematical model is being searched in the form of a linear differential equation, which determines the system with multiple inputs and a single output, and a vector of the initial point coordinates. The described problem is complex and multimodal and for this reason the proposed evolutionary-based optimization technique, which is oriented on a dynamical system identification problem, was applied. To improve its performance an algorithm restart operator was implemented.