In the field of single objective optimization algorithms, learned evolutionary algorithms have achieved success in obtaining better performance than human-designed strategies. However, these learnable ...

In light of this, the research uses Multi-Objective Genetic Algorithm (MOGA) optimized Convolutional Neural Networks (CNN) for the diagnosis of pancreatic tumours. The process begins with image ...

In this study, a novel PSD retrieval method based on a multi-objective genetic algorithm was proposed using 3 β +2 α data from multi-wavelength lidar. The aerosol PSD was obtained by searching for the ...

The IMOABC algorithm is based on multi-objective artificial bee colony algorithm (MOABC) with four strategies, including external archive pruning strategy, non-dominated ranking strategy, crowding ...

Tan Liu, Qinyun Yuan, Lina Wang, Yonggang Wang, Nannan Zhang, Multi-objective optimization for oil-gas production process based on compensation model of comprehensive energy consumption using improved ...

Alireza Sahebgharani, MULTI-OBJECTIVE LAND USE OPTIMIZATION THROUGH PARALLEL PARTICLE SWARM ALGORITHM, Journal of Urban and Environmental Engineering, Vol. 10, No. 1 (January to June 2016), pp. 42-49 ...

Adaptive optimization algorithms promise better results and deeper insight into why certain designs perform better than ...