Adaptive online data-driven closed-loop parameter control strategy for swarm intelligence algorithm

DOI10.1016/j.ins.2020.05.016zbMath1480.90253OpenAlexW3024660940MaRDI QIDQ2666784

Hui Lu, Yuhui Shi, Yaxian Liu, Shi Cheng

Publication date: 23 November 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.05.016

zbMATH Keywords

swarm intelligence algorithmclosed-loop parameter control strategyconvergence and extension entropyPID control systempopulation clustering

Mathematics Subject Classification ID

Evolutionary algorithms, genetic algorithms (computational aspects) (68W50) Approximation methods and heuristics in mathematical programming (90C59)

Uses Software

• MOPSO

Cites Work

• Analysis of the similarities and differences of job-based scheduling problems
• Two-dimensional FFT algorithms on hypercube and mesh machines
• An adaptive parameter tuning of particle swarm optimization algorithm
• Nonlinear inertia weight variation for dynamic adaptation in particle swarm optimization
• The Sequential Parameter Optimization Toolbox
• An improved evolution strategy with adaptive population size

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