Differential Evolution for Multi-Variant Evolutionary Synthesis of Nonlinear Models
Oleg G. Monakhov · 2018 XIV International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE) · 2018
We propose a new multi-variant evolutionary algorithm based on differential evolution for solving the problem of construction of nonlinear models (mathematical expressions, functions, algorithms, and programs) using the given experimental data, sets of variables, basic functions and operations. We compare the proposed algorithm with the standard genetic programming algorithm (GP) and the Cartesian Genetic Programming (CGP) one. We show that the proposed algorithm exceeds the GP and CGP algorithms both in the time required for search for a solution (more than by an order of magnitude in the most cases) and in the probability of finding a given model.