In granularity optimization, the most suitable granular level of a domain is chosen for the multi-granular information/knowledge representation model (MGrR), and the most efficient and satisfactory enough solution is generated on it [41, 42, 43].
IoT holds out the promise of more granular monitoring and optimization of process performance in just about any context — therefore, it will become integral to resource efficiency as one aspect of performance," says Peter Williams, Chief Technology Officer, Big Green Innovations, at IBM.
The mix design method is composed of two simple stages: optimization of granular skeleton and optimization of cementitious materials composition.
The modular neural network using a granular approach and its optimization using a multi-objective hierarchical genetic algorithm provides better results than when the modular neural network is applied without a granular approach and optimization of parameters.
A new model of a modular neural network (MNN) using a granular approach and its optimization with hierarchical genetic algorithms is proposed in this paper.
Pertinent problems showing how information granularity is distributed throughout the parameters of numeric functions (and resulting in granular mappings) are formulated as optimization tasks.
With the new algorithm as basis, case studies are carried out to illustrate the analysis of granular damping mechanisms and the optimization of damping performance.
Our growing knowledge on mathematical modeling of aerobic granule might facilitate the engineering and optimization of aerobic granular sludge technology as one of the most promising techniques in the biological wastewater treatment.
The underlying objective of this study is to propose a concept of a granular output space and develop an optimization process of allocation of information granularity across this space.
The training process of the granular ESN can be viewed as the optimization of the allocation of information granularity, in which a particle swarm optimization (PSO -based aPSO -based employed for solving the optimizapproachoblem, and the evaluatisn critemployedthe PIs performance, including PIsolvingage probabilithe(PICP) and mean PIs width (MPIW), are choptimizationoproblemd objectives.
