With the development of big data and artificial intelligence, distributed optimization has
emerged as an indispensable tool for solving large-scale problems. In particular, the multi …

Designing an efficient distributed economic dispatch (DED) strategy for the smart grid (SG)
in the presence of multiple generators plays a paramount role in obtaining various benefits …

A power–water network consists of power plants, water plants, and coproduction plants,
which supply power and water collectively. Heterogeneous plants generally have different …

In this article, a discrete-time distributed optimization algorithm is proposed for solving the
economic dispatch (ED) problem with some groups of generator units to communicate over …

In this article, we concentrate on dealing with the distributed optimization problem over a
directed network, where each unit possesses its own convex cost function and the principal …

This paper studies two distributed resource allocation problems of second-order systems
over weight-balanced communication networks. In the first problem, the decisions of agents …

This paper investigates a multi-agent system with quantized event-triggered communication
mechanisms to reduce the communication expenditure. The event-triggered communication …

This article considers the distributed fixed-time resource allocation problem subject to global
equality and local inequality constraints. In the case that the optimal solutions are strictly …

Distributed optimization algorithms have the advantages of privacy protection and parallel
computing. However, the distributed nature of these algorithms makes the system vulnerable …

Most evolutionary algorithms, including particle swarm optimization (PSO), use Pareto
dominance as a major selection criterion and face significant challenges when dealing with …