Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/SIMULINK (R) (Hardback)
  • Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/SIMULINK (R) (Hardback)
zoom

Computational Intelligence Paradigms for Optimization Problems Using MATLAB ®/SIMULINK ® (Hardback)

(author), (author), (author)
£220.00
Hardback 601 Pages / Published: 22/12/2015
  • We can order this

Usually dispatched within 1 week

  • This item has been added to your basket

Considered one of the most innovative research directions, computational intelligence (CI) embraces techniques that use global search optimization, machine learning, approximate reasoning, and connectionist systems to develop efficient, robust, and easy-to-use solutions amidst multiple decision variables, complex constraints, and tumultuous environments. CI techniques involve a combination of learning, adaptation, and evolution used for intelligent applications.

Computational Intelligence Paradigms for Optimization Problems Using MATLAB ®/ Simulink ® explores the performance of CI in terms of knowledge representation, adaptability, optimality, and processing speed for different real-world optimization problems.

Focusing on the practical implementation of CI techniques, this book:

Discusses the role of CI paradigms in engineering applications such as unit commitment and economic load dispatch, harmonic reduction, load frequency control and automatic voltage regulation, job shop scheduling, multidepot vehicle routing, and digital image watermarkingExplains the impact of CI on power systems, control systems, industrial automation, and image processing through the above-mentioned applicationsShows how to apply CI algorithms to constraint-based optimization problems using MATLAB ® m-files and Simulink ® modelsIncludes experimental analyses and results of test systems

Computational Intelligence Paradigms for Optimization Problems Using MATLAB ®/ Simulink ® provides a valuable reference for industry professionals and advanced undergraduate, postgraduate, and research students.

Publisher: Taylor & Francis Inc
ISBN: 9781498743709
Number of pages: 601
Weight: 1701 g
Dimensions: 254 x 178 mm

You may also be interested in...

The Sciences of the Artificial
Added to basket
Computer Vision
Added to basket
Dark Pools
Added to basket
£9.99
Paperback
Bayesian Reasoning and Machine Learning
Added to basket
Artificial Intelligence
Added to basket
The Singularity Is Near
Added to basket
Machine Learning for Hackers
Added to basket
Superintelligence
Added to basket
£18.99
Hardback
Artificial Intelligence: The Basics
Added to basket
Subdivision Surfaces
Added to basket
Probabilistic Robotics
Added to basket
Understanding Machine Learning
Added to basket
Emotion: A Very Short Introduction
Added to basket
Thoughtful Machine Learning
Added to basket
Machine Learning
Added to basket
£37.99
Paperback

Please sign in to write a review

Your review has been submitted successfully.