Artículo: AMZ-B0DXCK8Q4F

Multi-objective Optimization Techniques: Variants, Hybrids, Improvements, and Applications

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Kindle

Hardcover

Kindle

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Disponibilidad
En stock
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0.84 kg
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No
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Producto de
Amazon
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USA

Sobre este producto
  • The book establishes how to design, develop, and test different hybrids of multi-objective optimization algorithms. It presents several application areas of multi-objective optimization algorithms.Presents a thorough analysis of equations, mathematical models, and mechanisms of multi-objective optimization algorithms.Explores different alternatives of multi-objective optimization algorithms to solve binary, multi-objective, noisy, dynamic, and combinatorial optimization problems.Illustrates how to design, develop, and test different hybrids of multi-objective optimization algorithms. Discusses multi-objective optimization techniques for cloud, fog, and edge computing.Highlights applications of multi-objective optimization in diverse sectors such as engineering, e-healthcare, and scheduling.The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, communications engineering, computer science and engineering, and mathematics.
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Highlight, take notes, and search in the book In this edition, page numbers are just like the physical edition