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The simulation results of the proposed CSA based approach have been compared to those of well accepted evolutionary algorithms like Genetic Algorithm (GA) and Particle Swarm Optimization (PSO).
Three analytical mixing time models, including a novel jet transit based approach, have been selected for comparison with computational fluid dynamics (CFD) predictions for a wide range of cuboidal rooms with ceiling ventilation.
The results of the proposed CSO based approach have been compared to those of other well-known optimization methods such as Real Coded Genetic Algorithm (RGA), standard Particle Swarm Optimization (PSO) and Differential Evolution (DE).
It should be noticed that different implementations of the RVT based approach have been proposed [5].
Template-directed synthesis and the solution-phase based approach have been widely used to produce Ag nanowires [2 4].
The reproducibility and the accuracy of this array based approach have been extensively demonstrated before [ 12, 18].
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For the runway crossing operation, a systematic comparison of the agent-based approach against a sequence based approach has been made in (Stroeve et al. 2011).
Quality by Design (QbD) based approach has been utilized.
Moreover, a multi-scale based approach has been developed and tested with experimental and synthetic datasets.
A proteomics gel electrophoresis based approach has been applied to study the effect of arbidol on the proliferation of influenza virus in vitro through quantitation of hemagglutinin levels.
A particle swarm optimization (PSO -simulation based aPSO -simulationn used to tackle the multi-obasedive optimizapproachoblem.
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