Sentence examples for utilizing the genetic algorithm from inspiring English sources
Utilizing the genetic algorithm optimization technique, multi-objective optimization of modeled system is carried out and the optimal values of system design parameters are obtained.
To further examine the trade-off between performance (schedule length) and leakage waste, we propose a framework to utilize the Genetic Algorithm (GA) for exploring the design space and obtaining Pareto optimal design points.
We previously utilized the genetic algorithm [ 15] as well as a particle swarm optimization procedure [ 14], and searched for a suboptimal combination of binding motifs.
After formulating the design of SMC as an optimization problem, the proposed method utilizes the genetic algorithms (GA) to find the optimal feedback gains and switching vector values of the controller.
In order to obtain better classification results, we utilize the genetic algorithms (GAs) and adaptive grade mechanism (AGM) to tune the FFEA and FCU, respectively, to improve the performance of the proposed fuzzy classification model.
The hybrid evolutionary Bayesian back-propagation (EBBP) neural network was used in this study and utilizes the genetic algorithms and gradient descent method to determine the optimal parameters within a Bayesian framework to regularize the complexity of learning and to statistically reflect the uncertainty in data.
An approximate set of feasible solutions called the initial population are utilized to initialize the genetic algorithm.
The present research utilizes the interactive genetic algorithm to promote fashion design level, increase productivity of fashion products, and create confidence in mass producers and purchasers, which its steps are presented in Fig. 2.
The genetic algorithm is utilized to optimize the needle geometry for two cases.
Also, besides the correction operator, we utilized dynamic rate and operators in the genetic algorithm to empower this heuristic search.
In this section, we present an example for which the branch and bound in the LINGO software and the genetic algorithm are utilized as solution methods.
