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Intelligent Optimization Principles, Algorithms and Applications /

This textbook comprehensively explores the foundational principles, algorithms, and applications of intelligent optimization, making it an ideal resource for both undergraduate and postgraduate artificial intelligence courses. It remains equally valuable for active researchers and individuals engage...

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Bibliographische Detailangaben
Hauptverfasser: Li, Changhe (VerfasserIn), Han, Shoufei (VerfasserIn), Zeng, Sanyou (VerfasserIn), Yang, Shengxiang (VerfasserIn)
Körperschaft: SpringerLink (Online service)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Ausgabe:1st ed. 2024.
Schlagworte:
Artificial intelligence.
Algorithms.
Mathematical optimization.
Computational intelligence.
Artificial Intelligence.
Design and Analysis of Algorithms.
Continuous Optimization.
Computational Intelligence.
Online-Zugang:https://doi.org/10.1007/978-981-97-3286-9
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Inhaltsangabe:
  • chapter 1 Introduction
  • chapter 2 Fundamentals
  • chapter 3 Canonical Optimization Algorithms
  • chapter 4 Basics of Evolutionary Computation Algorithms
  • chapter 5 Popular Evolutionary Computation Algorithms
  • chapter 6 Parameter Control and Policy Control
  • chapter 7 Exploitation versus Exploration
  • chapter 8 Multi-modal Optimization
  • chapter 9 Multi-objective Optimization
  • chapter 10 Constrained Optimization
  • chapter 11 Dynamic Optimization.-chapter 12 Robust Optimization.-Chapter 13 Large-scale Global Optimization.-Chapter 14 Expensive Optimization
  • Chapter 15 Real-world Applications.

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