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    Grey Wolf Optimizer: A Pack of Solutions for Your Optimization Problems

    Grey Wolf Optimizer by Mirjalili, Seyedali;

    A Pack of Solutions for Your Optimization Problems

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 166.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        65 226 Ft (62 120 Ft + 5% VAT)
      • Discount 20% (cc. 13 045 Ft off)
      • Discounted price 52 181 Ft (49 696 Ft + 5% VAT)
      • Discount is valid until: 30 June 2026

    65 226 Ft

    db

    Availability

    Not yet published.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Long description:

    Grey Wolf Optimizer: A Pack of Solutions for Your Optimization Problems offers in-depth coverage of recent theoretical advancements in GWO, as well as several variants, improvements, and hybrid approaches developed to enhance the GWO's performance and adaptability. The use of generative AI to improve this algorithm and make it more generic is also explored, along with diverse applications across multiple fields to illustrate the practical utility and versatility of the methods presented. The book offers a deep dive into the algorithm's foundations and presents new developments to help researchers overcome common challenges.

    It features numerous case studies and real-world examples across various fields, such as engineering, healthcare, finance, and environmental management. These applications demonstrate the versatility and effectiveness of the GWO in addressing complex, interdisciplinary challenges, making the content highly relevant and practical for readers. Written by some of the world’s most highly cited researchers in the field of artificial intelligence, algorithms, and machine learning, the book serves as an essential resource for researchers and practitioners interested in applying and developing the Grey Wolf Optimizer.

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    Table of Contents:

    1. Introduction to meta-heuristics and Grey Wolf Optimizer
    2. Single-objective optimization using Grey Wolf Optimizer
    3. Multi-objective optimization using Grey Wolf Optimizer
    4. Many-objective optimization using Grey Wolf Optimizer
    5. Constrained optimization using Grey Wolf Optimizer
    6. Robust optimization using Grey Wolf Optimizer
    7. Binary optimization using Grey Wolf Optimizer
    8. Dynamic Optimization using Grey Wolf Optimizer
    9. Combinatorial optimization using Grey Wolf Optimizer
    10. Oppositional-based learning with Grey Wolf Optimizer
    11. Chaotic Grey Wolf Optimizer
    12. Memetic Grey Wolf Optimizer
    13. Feature selection using Grey Wolf Optimizer
    14. Clustering using Grey Wolf Optimizer
    15. Hybrids of Grey Wolf Optimizer with swarm intelligence methods
    16. Hybrids of Grey Wolf Optimizer with evolutionary algorithms
    17. Engineering optimization using Grey Wolf Optimizer
    18. Grey Wolf Optimizer with Genetic Programming
    19. Grey Wolf Optimizer in sustainable energy
    20. Grey Wolf Optimizer in network and 5G

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