Sentence examples for optimisation capabilities from inspiring English sources
As commerical process simulators still lack optimisation capabilities, the alternative for optimising process recipes is resorting to programming languages like Gams, Matlab or gProms.
ExRET-Opt, a novel building energy/exergy simulation tool with multi-objective optimisation capabilities based on NSGA-II is used to run both analysis.
The next steps of this work, involve the evaluation of PuLSaR's optimisation capabilities in real-life brokerage scenarios using heterogeneous hosting platforms and enriching them with valuable brokerage capabilities.
Based on the evaluation findings it became evident that PuLSaR can be considered as an efficient and scalable software mechanism that can enhance as a service any cloud service broker with optimisation capabilities.
The technologies employed for implementing the pilot methods include; a web-centric co-development environment, unique methods for enriching planning entities with knowledge, and a flexible engine supporting planning scenarios by using evolutionary computing for optimisation and capability analysis techniques for feedback evaluation.
This research addresses the limitation of CAT tools to accommodate assemblies under loading by developing a tolerance analysis platform which integrates CAD, CAE and statistical analysis tools using Process Integration and Design Optimisation (PIDO) software capabilities.
PuLSaR is a cloud consumer preference based recommender that uses a multi-criteria decision making approach for offering optimisation as brokerage capability.
With this methodology, ICFMO problems incorporating a variety of objectives and/or constraints may be modelled and solved rapidly, thus providing a cycle-to-cycle optimisation decision support capability for nuclear reactors.
Fagor commercial MESA power diodes have been used to corroborate experimentally the optimisation of the voltage capability.
GA is chosen to solve this optimisation model due to its capability in solving many large and complex optimisation problems compared with other heuristic methods.
The robust nature of a fuzzy controller allows it to model functions of arbitrary complexity, while the maximising capabilities of GAs allow optimisation of the fuzzy design parameters to achieve optimal performance.
