IEEE

Q-Learning Driven Multi-objective Hybrid PSO for Distributed Heterogeneous Hybrid Flow-shop Scheduling Problem

Abstract: With the rapid advancement of Industry 5.0, the impact of worker resource constraints on scheduling problems has become increasingly significant. The Distributed Heterogeneous Hybrid ...
Frontiers

Multi-objective coordinated control and optimization for photovoltaic microgrid scheduling

1 Electric Power Dispatching and Control Center of Guangdong Power Grid Co., Ltd., Guangzhou, China 2 NARI Technology Co., Ltd., Nanjing, China The stability and economic dispatch efficiency of ...
IEEE

A New Hybrid PSO-HHO Wrapper Based Optimization for Feature Selection

Abstract: Datasets used in data analysis often contain irrelevant or redundant attributes. These attributes hinder the performance of predictive models. Therefore, an effective preprocessing feature ...
Scientific Research Publishing

Lalwani, S., Singhal, S. and Kumar, R. (2013) A Comprehensive Survey: Applications of Multi-Objective Particle Swarm Optimization (MOPSO) Algorithm. Transactions on ...

ABSTRACT: Supply chain networks, which integrate nodes such as suppliers, manufacturers, and retailers to achieve efficient coordination and allocation of resources, serve as a critical component in ...
Scientific Research Publishing

A Review of Intelligent Optimization Algorithms in Supply Chain Networks ()

1 School of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong, China. 2 Institute of Computational Mathematics and Scientific/Engineering Computing, Chinese Academy of ...