Results show that, thanks to the combined usage of surrogate models and adaptive training in an evolutionary optimization framework, optimal candidates may be located even with limited computational resources with respect to plain evolutionary approaches and similar standard methodologies.
The main intent of this paper is to formulate, demonstrate, and validate a practical means of implementing an evolutionary optimization technique in a rotor-bearing system.
In this paper, optimal switching characteristics of a CMOS inverter are realized using an evolutionary optimization approach called differential evolution (DE) algorithm.
One possible solution to generalize the manipulation of all moment types is the use of an evolutionary optimization procedure to search for optimal quantization steps for each moment coefficient.
(7), 8) and (9), which poses difficulties in obtaining the control chart parameters, an evolutionary optimization technique, namely a genetic algorithm (GA) has been used to obtain near global optimum results.
This algorithm, as an evolutionary optimization strategy, possesses an excellent performance in convergence speed and absolute optimum point [22, 23, 24, 25, 26, 27].
Most of the kinetic constants are taken from literature, the remaining four unknown parameters are derived by an evolutionary optimization procedure for an objective function describing the dynamics of the APC Cdc20 complex.
Biogeography-Based Optimization (BBO) is an evolutionary optimization algorithm based on a mathematical model of organism distribution.
The present study describes a methodology for design and sizing such hybrid plants, by implementing a transient simulation model, coupled to an evolutionary optimization algorithm, allowing to address the trade off between costs and capacity factor.
Schiff has reviewed the history and development of model-based control theory and discussed its application to PD, and Feng et al. have attempted to implement it in a model of PD to improve DBS stimulation through an evolutionary optimization system for control of DBS stimulation parameters and separately through a nonlinear feedback model.
