In order to solve the challenge of multi-objective optimization of automotive power train, in view of the shortcomings of the existing improved particle swarm optimization algorithm, an innovative ...

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 ...

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 ...

Because all the objectives must be repeatedly compared, the algorithm can be time consuming when handling many-objective problems (i.e., multi-objective problems with four or more objectives). Thus, ...

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 ...

A high-performance, modular Go library for exploring and applying genetic algorithms, with a special focus on multi-objective graph layout optimization. This project is the artifact of the research ...

A meta-scheduler invokes a genetic algorithm to solve a new scheduling problem for each adaptation scenario, resulting in a multi-schedule graph. Finally, repeated nodes of the multi-schedule graph ...