Details

In multi-objective optimization problems, different objectives often conflict with each other, that is, improving one objective may lead to a decrease in the performance of other objectives. Therefore, it is impossible to achieve the ideal optimal state of all goals at the same time, but coordination and compromise between various goals are required. In practical applications, multi-objective optimization algorithms need to take into account the weight relationships between different objectives and find a set of solutions that meet the requirements through iteration and search. Boiler is the power and material source of steam power system. Its performance really affect the work of System Power System. So it’s a vital problem to control the boiler produce as much as steam and energy taking from it and keep it safe and and stability. The purpose of this work is to model the steam power system, optimize it using neural network genetic algorithms, study its performance indicators.