Proximal policy optimization (PPO) algorithm is a deep reinforcement learning with outstanding performance, especially in continuous control tasks. But the performance of this method still affected by its exploration ability. Based on tasks, paper analyzes original Gaussian action mechanism PPO algorithm, and clarifies influence ability performance. Afterward, aiming at problem exploration, an ...

The evaluation of energy efficiency improvements in polyisoprene footwear production is shown. By installing air preheater, combustion natural gas consumption reduced by 7%. Simultaneously, the boiler outlet flue gases’ temperature decreased from 204 °C to 66.93 °C, providing a sound basis for both economical savings and improvements, as well ecological benefits environment. application condens...

Permanent magnet synchronous generators (PMSGs) are novel generators which can be used in high-performance wind farms. High efficiency and flexibility in producing electricity from variable rotation make them good candidate for wind power applications. Furthermore, because these kinds of generators have no excitation winding, there is no copper loss on rotor; hence, they can operate at high pow...

the purpose of this research is to investigate thermoeconomic optimization and exergy analysis of transcritical co2 refrigeration cycle with an ejector. after modeling thermodynamic equations of elements and considering optimization parameters of emerging temperature of gas of cooler (tgc) , emerging pressure of cooler's gas (pgc) , and evaporative temperature (tevp) , optimization of targ...

In this paper, we propose a method for solving constrained optimization problems using Interval Analysis combined with Particle Swarm Optimization. A Set Inverter Via Interval Analysis algorithm is used to handle constraints in order to reduce constrained optimization to quasi unconstrained one. The algorithm is useful in the detection of empty search spaces, preventing useless executions of th...