FREE delivery to all EXCLUSIVE BOOKS stores nationwide. FREE delivery to your door on all orders over R450. Excludes all international deliveries.

  • Safe delivery by Christmas SANTA SAFE
    Nature-Inspired Optimization Algorithms

Nature-Inspired Optimization Algorithms

Xin-She Yang
    Product form
      FORMAT: Paperback / softback

      R 2,941.00 Price and availability exclusive to website

      YOU COULD EARN 2,941 FUTURE RETAIL DISCOUNTS.
      ESTIMATED DELIVERY: Approx. 20 - 30 Business Days
      BUY NOW PAY LATER
      From R 490.16 per month!
      3x monthly payments of R 980.33 with
      4x fortnightly payments of R 735.25 with
      Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, as well as multi-objective optimization. This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference.
      Format: CONTRIBUTORS: Xin-She Yang EAN: 9780128100608 COUNTRY: United States PAGES: WEIGHT: 410 g HEIGHT: 229 cm
      PUBLISHED BY: Elsevier Science Publishing Co Inc DATE PUBLISHED: 2016-08-19 CITY: GENRE: COMPUTERS / Information Theory, COMPUTERS / Programming / Algorithms WIDTH: 152 cm SPINE:

      Book Themes:

      Algorithms and data structures, Information architecture

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      Xin-She Yang obtained his DPhil in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and National Physical Laboratory (UK) as a Senior Research Scientist. He is currently a Reader at Middlesex University London, Adjunct Professor at Reykjavik University (Iceland) and Guest Professor at Xi’an Polytechnic University (China). He is an elected Bye-Fellow at Downing College, Cambridge University. He is also the IEEE CIS Chair for the Task Force on Business Intelligence and Knowledge Management, and the Editor-in-Chief of International Journal of Mathematical Modelling and Numerical Optimisation (IJMMNO).
      Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, as well as multi-objective optimization. This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference.
      Format: CONTRIBUTORS: Xin-She Yang EAN: 9780128100608 COUNTRY: United States PAGES: WEIGHT: 410 g HEIGHT: 229 cm
      PUBLISHED BY: Elsevier Science Publishing Co Inc DATE PUBLISHED: 2016-08-19 CITY: GENRE: COMPUTERS / Information Theory, COMPUTERS / Programming / Algorithms WIDTH: 152 cm SPINE:

      Book Themes:

      Algorithms and data structures, Information architecture

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      Xin-She Yang obtained his DPhil in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and National Physical Laboratory (UK) as a Senior Research Scientist. He is currently a Reader at Middlesex University London, Adjunct Professor at Reykjavik University (Iceland) and Guest Professor at Xi’an Polytechnic University (China). He is an elected Bye-Fellow at Downing College, Cambridge University. He is also the IEEE CIS Chair for the Task Force on Business Intelligence and Knowledge Management, and the Editor-in-Chief of International Journal of Mathematical Modelling and Numerical Optimisation (IJMMNO).

      Recently viewed products

      Login

      Forgot your password?

      Don't have an account yet?
      Create account