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Therefore, numerous metaheuristics-based approaches have been developed for finding near-optimal solution for VRPTW.
Well-designed searching procedures following natural processes have been developed for finding optimized solutions of complex systems.
A method has been developed for finding the characteristic function φ u,t) =Eexp iu′X t) of the solutionX t) of a non-linear stochastic differential equation driven by Poisson white noise.
Further, a methodology has been developed for finding the Pareto-optimal set of design solutions within the system trade space when the distributed satellite system is modeled as a multi-objective design problem.
In this paper, a new algorithm which combines the Akaike's information criterion (AIC) with the golden-section optimization technique has been developed for finding the optimal architecture for single-hidden layer feedforward neural networks.
Various methods have been developed for finding a common point of the solution set of problem (VIP) and the set of fixed points of a nonexpansive mapping when F is monotone (see [16 18]).
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Consequently, a G-Miner algorithm is developed for finding G-Patterns.
Such system is developed for finding the maximum power point in photovoltaic modules.
Second, a fuzzy evaluation procedure is developed for finding reference designs with similar technological specifications.
A method is developed for finding response statistics and reliability for a non-linear system subjected to Poisson white noise.
A method is developed for finding probabilistic descriptors of the eigenvalues of stochastic real-valued symmetric matrices.
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