Marchand, "Using genetic algorithm for the optimization of electromagnetic devices," COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 17, pp. 181-185, Apr. 1998.F. Zaoui, C. Marchand, Using genetic algorithm for the optimization of...
This work examines the possibility of using genetic algorithms for the optimization of the loads transmitted in mechanisms. The variables of design are the relative positions of the various connections, considered in a comparative manner. The minimization of the loads transmitted in the connections is...
genetic algorithmoptimizationSpiegler-Kedem modelmembrane transport modelReverse Osmosis (RO) has found extensive application in industry as a highly efficient separation process. In most cases, it is required to select the optimum set of operating variables such that the performance of the system is ...
However, in the process of learning, the choice of values for learning algorithm parameters can significantly impact the overall learning process. In this paper, we use a genetic algorithm (GA) to find the values of parameters used in Deep Deterministic Policy Gradient (DDPG) combined with ...
Flowchart of the standard genetic algorithm (GA). 3.2. Model Parameter Optimization Using GA The GA is a robust stochastic process that provides accurate solutions to the optimization problem. Different domains of power electronic field have been benefited from the exploitation of GA. However, for ...
Pourmohammad, "Optimization of a LNA Using Genetic Algorithm", Electrical and Electronics Engineering, 2(2), pp:38-42, 2012M.B. Fallahpour, K.D. Hemmati, and A. Pourmohammad, Optimization of a LNA Using Genetic Algorithm, Electrical and Electronic Engineering, 2(2), 2012, 38-42...
Multiobjective optimization of a set of N identical reverse-flow cyclone separators in parallel was carried out by using the nondominated sorting genetic a... G Ravi,SK Gupta,MB Ray - 《Industrial & Engineering Chemistry Research》 被引量: 66发表: 2000年 Genetic Algorithm for Multiobjective Op...
We propose a coupled gradient-type neural network for its solution as well as a customized genetic algorithm-based solution. The unit commitment problem is an interesting and ... M. Hassoun,P Watta 被引量: 14发表: 1994年 Classifier ensemble optimization for gender classification using Genetic ...
Genetic algorithm (GA) is among the more popular evolutionary optimization techniques. Its multiobjective (MO) versions are useful for solving industrial problems that are more meaningful and relevant. Usually, one obtains sets of several equally good (nondominated) optimal solutions for such cases, ...
Using a Hybrid Genetic-Algorithm/Branch and Bound Approach to Solve Feasibility and Optimization Integer Programming Problems. Journal of Heuristics 7, 551–564 (2001). https://doi.org/10.1023/A:1011921025322 Download citation Issue DateNovember 2001 DOIhttps://doi.org/10.1023/A:1011921025322 branch...