Solving six-hump camel back function optimization problem by using thermodynamics evolutionary algorithm

Based on the review of recent development of evolutionary computation and the principle of free energy minimization of thermodynamics,a new thermodynamics evolutionary algorithm for solving Shubert function optimization problem was proposed.

This paper advanced a new method to select these parameters depends on dynamic evolutionary algorithm(DEA).

The float glass processing and phase transformation mechanism was approached through chemical thermodynamic calculation considering of the real complex glass composition,whole temperature range,multi-phase constituents including atmosphere conditions in the float glass furnace and the huge scale s influence on the surroundings.

Inverse problem of multiple parameters identification for water quality model using evolutionary algorithm;

Displacement back analysis of embankment dam based on neural network and evolutionary algorithm;

Application of evolutionary algorithm in nonlinear parameter estimation;

Survey on automatic structural test data generation using evolutionary algorithms;

Real factorization based on evolutionary algorithms;

The result shows that it is better than other existing evolutionary algorithms in search efficiency, range of applications, accuracy and robustness of solutions.