The paper deals with the problem of timed state space generation and exploration in the frame of simulation–optimization … be suitable for the simulation–optimization approach. … of timed state space generation and timed simulation are addressed. It is shown that the established simulation …

weight matrix, the costliest data structure for simulation of Hopfield neural network algorithm for large-scale optimization … optimization problem, which facilitates construction and reconstruction of the weights on demand during a simulation, is exposed …A simulation methodology, which trades space complexity with time complexity, to create the Hopfield neural network …

This article presents a constrained optimization method, based on the duality theory, which does not need the gradients …. The method is used to optimize superconducting devices. In order to reduce the computing effort, the initial optimization … problem is divided into two coupled optimization problems. One manages the geometrical parameters, the other finds the best …

presents a least-square optimization with regard to a setup of the machine …

have attracted much attention and wide applications in a variety of fields, especially for optimization and design. EAs …-world optimization applications. The potentialities of DE are its simple structure, easy use, convergence speed and robustness. To … improve the global optimization property of DE, in this paper, a DE approach based on measure of population's diversity and …

–DC converters. First, we revisit some concepts of the optimization technique named geometric programming. Then, we observe that the …

, we define the ideal conditions ensuring the best quality of this wave across the beam. Then, through an optimization …

This paper deals with the use of Kriging metamodels in multi-objective engineering design optimization. The metamodel …