Combining multi-objective genetic algorithm and neural network ...
2023年1月17日 · Neural network (NN) has been tentatively combined into multi-objective genetic algorithms (MOGAs) to solve the optimization problems in physics. However, the computationally …
Multi-objective optimization of bionic leaf-vein flow field for a …
2025年1月27日 · A multi-objective optimization model of PEMEC is constructed by integrating back propagation neural networks and genetic algorithms to optimize the aforementioned channel …
Multi-objective optimization of proton exchange membrane fuel cell …
2025年1月15日 · This research aims to improve the performance of proton exchange membrane fuel cells (PEMFCs) by multi-objective optimization of the flow channel structure. The accomplishment …
Multi-objective optimization of proton exchange membrane fuel cell ...
2023年2月1日 · In this paper, the most widely used multi-objective optimization algorithm NSGA-II is adopted to optimize the operational and geometric parameters of PEMFC. The NSGA-II algorithm, a …
A neural network guided dual-space search evolutionary algorithm …
2025年5月1日 · Nevertheless, a single search strategy might impact the solution of large-scale multi-objective optimization problems. To solve this problem, a dual-space search evolutionary algorithm …
Multi-objective optimization of composite sandwich structures using ...
2024年3月1日 · The studied methodology demonstrates the effectiveness of a multi-objective optimization model using a Genetic Algorithm and Artificial Neural Network in achieving improved …
An indicator-based multi-objective evolutionary algorithm assisted …
2025年4月1日 · In MOEA/D-RNN [23], a dynamic multi-objective optimization algorithm is proposed based on the recurrent neural network, designed to balance convergence and diversity in dynamic …
Neural network based multi-objective evolutionary algorithm for dynamic ...
2020年1月1日 · In this study, we propose a prediction-based dynamic multi-objective evolutionary algorithm, called NN-DNSGA-II algorithm, by incorporating artificial neural network with the NSGA-II …
Combining multi-objective genetic algorithm and neural network ...
Neural network (NN) has been tentatively combined into multi-objective genetic algorithms (MOGAs) to solve the optimization problems in physics. However, the computationally complex physical …
Fast Multi-Objective Antenna Optimization Based on RBF Neural Network ...
2019年6月26日 · In this paper, a radial basis function neural network (RBFNN) surrogate model optimized by an improved particle swarm optimization (PSO) algorithm is developed to reduce the …