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In the present paper, the GA (genetic algorithm) as one of the most powerful optimization tools is applied to determine the optimal values for these parameters which result in maximum power density of a DMFC.
The problem is solved by means of powerful optimization tools, for individual constraints on the power.
Metaheuristics can play here an important role due to its intrinsic adaptability and powerful optimization capabilities.
Hence, the use of a powerful optimization technique, such as GA, is required.
VNS is a powerful optimization algorithm that provides intensive local search.
Dynamic isotropy, leading to equal eigenfrequencies, is a powerful optimization measure.
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A convergence of both communities is desirable since this can lead to powerful optimizations.
Concept of the particle swarms emerged from a simulation of the collective behavior of social creatures and gradually evolved into a powerful global optimization technique, now well-known as the Particle Swarm Optimization (PSO).
The Taguchi method, a powerful process optimization tool, was used to determine the optimal process conditions in which to prepare beads with a high oil encapsulation efficiency (EE).
The hybrid SAGA combines features such as the power of the GA and the speed of a local optimizer such as SA, merging the previous metaheuristics into a powerful hybrid optimization algorithm.
Mating behavior is actually used as a powerful SI optimization clustering technology, and this technology could compete with other typical algorithms for clustering and other SI optimization models particularly the ACO.
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