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The availability of the optimiser has been confirmed by implementing various optimisation methods.
With this optimiser, one can not only implement existing optimisation methods but also develop a new optimisation method easily, which include both single-objective and multi-objective optimisation methods.
This paper presents a general optimiser, in which one can implement a variety of optimisation methods.
Connections with the optimisation methods are given.
These results confirmed the useful application of novel optimisation methods.
Genetics algorithms have been designed as general purpose optimisation methods.
Simulation-based optimisation methods are widely employed due to the nonlinear thermal behaviour of buildings.
These are used in the general model formulations as well as in specially designed optimisation methods.
Optimisation methods that involve changing one factor at a time can be laborious.
Numerical analysis and optimisation methods are combined for application-oriented texture optimisation.
Parameter estimation in biochemical pathways: a comparison of global optimisation methods.
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