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(2) Second, by granular computing, we investigate three primary granular issues: quantitative semantics, complete system and optimal calculation.
The realization of the importance of optimal sensor placement in condition monitoring system and optimal sensor placement methods are also investigated.
The optimal joint operation of the original multi-reservoir system and optimal water allocation parameter values will be found by multi-objective algorithm.
Further, results are compared with the corresponding performance of the base case CGAM system and optimal designs of previous works and discussed.
From the operation cost point of view, supplying reliable electricity to the customers and improving the efficiency of power system and optimal scheduling of distributed generation (DG) units is important for both DG owner (DGO) and distribution company (DisCo).
With the aim of exergetic and economic optimization, an optimization methodology based on multi-objective genetic algorithm is applied to the system and optimal values of design variables are obtained.
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It is helpful in our result to study dynamic systems and optimal control problem on time scales.
As corollaries, many known constructions for strictly cyclic Steiner quadruple systems and optimal optical orthogonal codes are unified.
Using these constructions we have some infinite families of strictly cyclic Steiner quadruple systems and optimal optical orthogonal codes with weight 4 and index 2.
A comparative study is performed for the proposed systems, and optimal values of operating parameters of the system are determined that maximize the coefficient of performance (COP) and exergy efficiency and minimize the total annual cost.
Currently with the newer-generation systems and optimal imaging protocols much lower levels of radiation exposure (<3 mSv) can be achieved in patients with low heart rates (<65 beats per minute) [ 38].
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