Reconstructing the nonlinear dynamical systems by evolutionary computation techniques

DOI10.1007/BF02836656zbMath1106.37050OpenAlexW4184981MaRDI QIDQ5492507

Minzhong Liu, Lishan Kang

Publication date: 13 October 2006

Published in: Wuhan University Journal of Natural Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02836656

zbMATH Keywords

numerical resultschaotic systemdynamical evolutionary algorithm

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45) Computational methods for ergodic theory (approximation of invariant measures, computation of Lyapunov exponents, entropy, etc.) (37M25)

Cites Work

• Reconstruction of the Lorenz and Chen systems with noisy observations
• Control of a unified chaotic system with delayed continuous periodic switch
• ASYMPTOTIC CONVERGENCE PROPERTIES OF GENETIC ALGORITHMS AND EVOLUTIONARY PROGRAMMING: ANALYSIS AND EXPERIMENTS
• YET ANOTHER CHAOTIC ATTRACTOR
• BRIDGE THE GAP BETWEEN THE LORENZ SYSTEM AND THE CHEN SYSTEM
• Finding global minima with a new dynamical evolutionary algorithm
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