IEEE

Quantized Distributed Nonconvex Optimization Algorithms With Linear Convergence Under the Polyak–Łojasiewicz Condition

Abstract: This article considers distributed optimization for minimizing the average of local nonconvex cost functions, by using local information exchange over undirected communication networks. To ...
Frontiers

CLMOAS: collaborative large-scale multi-objective optimization algorithms with adaptive strategies

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...
IEEE

Design of Distributed Optimization Algorithm Based on Unbalanced Directed Graph Communication Topology Diagram

Abstract: The design of distributed optimization algorithms presents a multi-agent domain problem, offering advantages over traditional centralized optimization algorithms by requiring less ...
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 ...
Frontiers

A distributed penalty-based zeroing neural network for time-varying optimization with both equality and inequality constraints and its application to cooperative control of ...

1 School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China 2 School of Intelligent Systems and Engineering, Sun Yat-sen University, Shenzhen, China This study addresses the ...