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Anotace knihy

The introduction of nature-inspired optimization algorithms (NIOAs), over the past three decades, helped solve nonlinear, high-dimensional, and complex computational optimization problems. NIOAs have been originally developed to overcome the challenges of global optimization problems such as nonlinearity, non-convexity, non-continuity, non-differentiability, and/or multimodality which traditional numerical optimization techniques had difficulties solving.The main objective for this book is to make available a self-contained collection of modern research addressing the general bound-constrained optimization problems in many real-world applications using nature-inspired optimization algorithms. This book is suitable for a graduate class on optimization, but will also be useful for interested senior students working on their research projects.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Handbook of Nature-Inspired Optimization Algorithms: The State of the Art
• Podnázev: Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems
• Autor: Ali Mohamed, Diego Oliva, Ponnuthurai Nagaratnam Suganthan
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 279
• EAN: 9783031075117
• ID: 39193330
• Nakladatelství: Springer, Berlin
• Hmotnost: 606 g
• Rozměry: 235 × 155 × 21 mm
• Rok vydání: 2022

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