The model of chaotic sequences based on adaptive particle swarm optimization arithmetic combined with seasonal term

DOI10.1016/J.APM.2011.07.089zbMath1243.90258OpenAlexW2026282934MaRDI QIDQ437874

Yao Dong, Haiyan Lu, Dezhong Chi, Jianzhou Wang

Publication date: 20 July 2012

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2011.07.089

zbMATH Keywords

seasonal adjustmentadaptive particle warm optimization arithmeticadding-weight one-rank local-region prediction methodchaotic theory

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59) Environmental economics (natural resource models, harvesting, pollution, etc.) (91B76) Dynamical systems in optimization and economics (37N40)

Related Items (2)

A hybrid application algorithm based on the support vector machine and artificial intelligence: an example of electric load forecasting ⋮ Adaptive Tunning of All Parameters in a Multi-Swarm Particle Swarm Optimization Algorithm: An Application to the Probabilistic Traveling Salesman Problem

Cites Work

• Measuring the strangeness of strange attractors
• Projection methods for solving aggregate growth models
• Nonlinear dynamics delay times, and embedding windows
• A new particle swarm optimization for the open shop scheduling problem
• An improved quantum-behaved particle swarm optimization algorithm with weighted mean best position

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