Distributed evolutionary algorithms and their models: A survey of the state-of-the-art
The increasing complexity of real-world optimization problems raises new challenges to
evolutionary computation. Responding to these challenges, distributed evolutionary …
evolutionary computation. Responding to these challenges, distributed evolutionary …
A federated data-driven evolutionary algorithm
Data-driven evolutionary optimization has witnessed great success in solving complex real-
world optimization problems. However, existing data-driven optimization algorithms require …
world optimization problems. However, existing data-driven optimization algorithms require …
Island-based crow search algorithm for solving optimal control problems
Abstract Crow Search Algorithm (CROW) is one of the members of recently developed
swarm-based metaheuristic algorithms. Literature includes different applications of this …
swarm-based metaheuristic algorithms. Literature includes different applications of this …
Probability collectives: a multi-agent approach for solving combinatorial optimization problems
Complex systems generally have many components. It is not possible to understand such
complex systems only by knowing the individual components and their behavior. This is …
complex systems only by knowing the individual components and their behavior. This is …
Distributed consensus for nonlinear multi-agent systems with two-time-scales: A hybrid reinforcement learning consensus algorithm
C Peng, J **a, J Wang, H Shen - Information Sciences, 2023 - Elsevier
The optimal consensus problem for nonlinear two-time-scales multi-agent systems with
completely unknown system dynamics is investigated in this paper. First, the original system …
completely unknown system dynamics is investigated in this paper. First, the original system …
A hybrid quantum-based PIO algorithm for global numerical optimization
B Chen, H Lei, H Shen, Y Liu, Y Lu - Science China Information Sciences, 2019 - Springer
A novel hybrid quantum-based pigeon-inspired optimization (PIO) algorithm for global
numerical optimization is proposed to perceive deceptiveness and preserve diversity. In the …
numerical optimization is proposed to perceive deceptiveness and preserve diversity. In the …
Multi-Agent Swarm Optimization With Adaptive Internal and External Learning for Complex Consensus-Based Distributed Optimization
Distributed optimization has attracted lots of attention in recent years. Thanks to the intrinsic
parallelism and great search capacity, evolutionary computation (EC) has the potential for …
parallelism and great search capacity, evolutionary computation (EC) has the potential for …
Performance study of mode-pursuing sampling method
Since the publication of the authors' recently developed mode-pursing sampling method,
questions have been asked about its performance as compared with traditional global …
questions have been asked about its performance as compared with traditional global …
Cooperative particle swarm optimization using MapReduce
Cooperative particle swarm optimization (short in CPSO) is an effective evolutionary
algorithm for optimization and has attracted a lot of research attention. As real-world …
algorithm for optimization and has attracted a lot of research attention. As real-world …
Function optimization with coevolutionary algorithms
The problem of parallel and distributed function optimization with coevolutionary algorithms
is considered. Two coevolutionary algorithms are used for this purpose and compared with …
is considered. Two coevolutionary algorithms are used for this purpose and compared with …