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Niching with derandomized evolution strategies in artificial and real-world landscapes

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Publication:836002
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DOI10.1007/s11047-007-9065-5zbMath1170.68571OpenAlexW1963974395MaRDI QIDQ836002

Thomas Bäck, Larry Pier Luca Ofer M. Shir

Publication date: 31 August 2009

Published in: Natural Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11047-007-9065-5


zbMATH Keywords

CMAnichingquantum controlderandomized evolution strategieslaser pulse shaping


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Quantum measurement theory, state operations, state preparations (81P15)


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A \((\mu ,\, \lambda )\)-coordination mechanism for agent-based multi-project scheduling ⋮ Curing ill-Conditionality via Representation-Agnostic Distance-Driven Perturbations ⋮ On compression rate of quantum autoencoders: control design, numerical and experimental realization


Uses Software

  • CEC 05


Cites Work

  • On three new approaches to handle constraints within evolution strategies
  • Evolution strategies. A comprehensive introduction
  • Coherent Control of Quantum Dynamics: The Dream Is Alive
  • Global optimization
  • Unnamed Item
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