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Viac informácií o knihe Multi-objective Swarm Intelligence

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Anotácia knihy

The aim of this book is to understand the state-of-the-art theoretical and practical advances of swarm intelligence. It comprises seven contemporary relevant chapters. In chapter 1, a review of Bacteria Foraging Optimization (BFO) techniques for both single and multiple criterions problem is presented. A survey on swarm intelligence for multiple and many objectives optimization is presented in chapter 2 along with a topical study on EEG signal analysis. Without compromising the extensive simulation study, a comparative study of variants of MOPSO is provided in chapter 3. Intractable problems like subset and job scheduling problems are discussed in chapters 4 and 7 by different hybrid swarm intelligence techniques. An attempt to study image enhancement by ant colony optimization is made in chapter 5. Finally, chapter 7 covers the aspect of uncertainty in data by hybrid PSO.§

Parametre knihy

Zaradenie knihy Knihy po anglicky Computing & information technology Computer science Artificial intelligence

• Celý názov: Multi-objective Swarm Intelligence
• Podnázov: Theoretical Advances and Applications
• Autor: Satchidananda Dehuri, Alok Kumar Jagadev, Mrutyunjaya Panda
• Jazyk: Angličtina
• Väzba: Pevná
• Počet strán: 201
• EAN: 9783662463086
• ISBN: 3662463083
• ID: 09179085
• Nakladateľ: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Hmotnosť: 470 g
• Rozmery: 247 × 163 × 17 mm
• Dátum vydania: 11. March 2015

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