As cities worldwide begin embracing low-altitude logistics to support rapid, flexible deliveries by drones, urban planners face an increasingly ...

In the new era, the Internet of Everything (IoE) provides distributed services like data, processes, people, and things, etc. The services to the connected IoE significantly increase the time of ...

Evolutionary multi-objective optimization platform - BIMK/PlatEMORelease Note can be found here Add an automated evolutionary algorithm AutoV (it should be trained before used), add five ...

To obtain the evolutionary process of Pareto graphs multi-objective optimization has been accomplished by using the modified NSGA-II approach where a population size of 60 has been chosen in all runs ...

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 ...

In this paper, a novel general class of optimality criteria is defined and proposed to solve multi-objective optimization problems by using evolutionary algorithms. These criteria, named p-optimality ...

The team's findings further revealed that, while multi-objective evolutionary algorithms hold significant potential, they still struggle with low search efficiency.

Singh, S.P., Dhiman, G., Viriyasitavat, W. and Kautish, S. (2022) A Novel Multi-Objective Optimization Based Evolutionary Algorithm for Optimize the Services of Internet of Everything. IEEE Access, 10 ...

SSCI2022 - Plenary Talk 2 - Evolutionary Machine Learning: Research, Applications and Challenges 01:05:42 ...