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Computational Intelligence Paradigms for Optimization Problems Using MATLAB

Shows how to apply CI algorithms to constraint-based optimization problems using MATLAB.

136.89$ Buy It Now

Item	204782832076
Seller	simplybestprices-10to20dayshipping ( 474252 ⭐ ) 98.2% Location: Los Angeles, US, CA Accept Payments With ,
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Condition	Brand New
EAN	9781138855380
UPC	9781138855380
ISBN	9781138855380
Book Title	Computational Intelligence Paradigms for Optimizat
Item Length	25.4 cm
Publication Year	2017
Type	Textbook
Format	Paperback
Language	English
Subject Area	Mechanical Engineering, Electrical Engineering
Publication Name	Computational Intelligence Paradigms for Optimization Problems Using Matlab (R) /Simulink (R)
Item Height	254 mm
Author	L. Ashok Kumar, Surekha. P, S. Sumathi
Publisher	Taylor & Francis Ltd
Subject	Engineering & Technology, Computer Science, Physics
Item Weight	454 g
Item Width	178 mm

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 (R)/ Simulink (R) 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 (R) m-files and Simulink (R) modelsIncludes experimental analyses and results of test systems

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