Sentence examples for optimization and improves from inspiring English sources

The modified AFSA with self-adapting step and congestion level overcomes weakness of local optimization and improves the global search ability and convergence speed.

Notably, this approach incorporates more geometry and thermal information into constructal optimization and improves the definiteness of frontiers between high and low conductivity materials.

This paper proposes a new machine-learning-based ship design optimization approach, which uses machine learning as an effective tool to give direction to optimization and improves the adaptability of optimization to the dynamic design environment.

To process optimization and improve the degree of reduction, a two-step experiment was designed.

These include noise reduction, natural light exposure at daytime, minimization of artificial light exposure at nighttime, ambient temperature optimization, and improved communication [69].

This study also shows the feasibility of the hybrid Taguchi-GRA technique for predicting performance, optimization and improving the design of these heat exchangers.

These include noise reduction, natural light exposure at daytime, minimization of artificial light exposure at nighttime, ambient temperature optimization, and improved communication [ 69].

This result suggests that mRMR feature selection approach could make a good optimization and improve the accuracy of prediction for substrate-enzyme-product interaction.

Results indicate that SBO can develop superior low-weight frame designs when compared to other optimization methods and improves computational efficiency in solving discrete variable structural optimization problems.

The new design optimization system converges faster and it takes 1/3 of the total time of traditional optimization to converge to a better design, thus significantly reducing the overall optimization time and improving the efficiency of conventional global design optimization method.

The training problem of the neuro-fuzzy architecture has been configured as a highly multidimensional stochastic global optimization problem and improved variants of particle swarm optimization (PSO) techniques have been successfully implemented for it.