Sentence examples for soft optimization from inspiring English sources

We introduce SOREPP (Soft Optimization method for Robust Estimation based on Pose Priors), a novel estimation algorithm designed to exploit pose priors naturally.

These results show the effectiveness of the proposed soft optimization to improve unsteady performance in modern turbomachinery exposed to strong shock interactions.

The objective of this study is to investigate the effects of the expansion device on the performance of a water-to-water heat pump using R407C, which has been considered as one of the alternative refrigerants to replace R22 with "soft-optimization", at various charging conditions.

Additional contributions include a comprehensive evaluation of several soft computing optimization approaches, thorough analysis of the optimized controller, its comparison to baseline control strategies, and validation of its operation with real energy availability forecasts.

We show that for an MPEG-2 decoder with four processing cores, the proposed soft error-aware optimization produces a design with 38% less SEUs than soft error-unaware design optimization for an arbitrary soft error rate of 10−9, while consuming 9% less power and meeting a given real-time constraint.

The strategy incorporates a variant of the Outer Approximation mathematical programming algorithm and a soft computing global optimization approach (namely simulated annealing).

This review reveals the investigation of soft computing based optimization technique and application of Energy Storage System (ESS) and HVDC-link in LFC.

Based on the developed CAPE-OPEN model, a de-facto "Soft-sensing and Optimization System for p-xylene (PX) and acetic acid (HAC) Consumption in the PTA Process" was implemented and successfully used at the Sinopec Yangzi Petrochemical Company in Nanjing, China.

His research interest is Power system Optimization and Soft computing technique.

There are many innovative ideas for the optimization of soft tissue simulation [1, 2].

A predictive model of the leaching rate lays the foundation for soft measurement and process optimization, and data collection is the key in such a modeling effort.