Optimization, Machine Learning, and Fuzzy Logic: Theory, Algorithms, and Applications

Optimization, Machine Learning, and Fuzzy Logic: Theory, Algorithms, and Applications

Pages: 300
DOI: 10.4018/979-8-3693-7352-1
ISBN13: 9798369373521|ISBN13 Softcover: 9798369373538|EISBN13: 9798369373545
Hardcover:
Forthcoming
$315.00
TOTAL SAVINGS: $315.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
Hardcover:
Forthcoming
$315.00
TOTAL SAVINGS: $315.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
E-Book:
Forthcoming
$315.00
TOTAL SAVINGS: $315.00
Benefits
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • PDF download
E-Book:
Forthcoming
$315.00
TOTAL SAVINGS: $315.00
Benefits
  • Immediate access after purchase
  • No DRM
  • PDF download
  • Receive a 10% Discount on eBooks
Hardcover +
E-Book:
Forthcoming
$380.00
TOTAL SAVINGS: $380.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • PDF download
Hardcover +
E-Book:
Forthcoming
$380.00
TOTAL SAVINGS: $380.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Immediate access after purchase
  • No DRM
  • PDF download
Softcover:
Forthcoming
$240.00
TOTAL SAVINGS: $240.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
Softcover:
Forthcoming
$240.00
TOTAL SAVINGS: $240.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
Article Processing Charge:
Forthcoming
$1,950.00
TOTAL SAVINGS: $1,950.00
Description & Coverage
Description:

This publication offers a comprehensive exploration of optimization techniques, fuzzy logic, and their integration with machine learning. It covers fundamental concepts, mathematical foundations, algorithms, and applications, providing a holistic understanding of these domains. The inclusion of machine learning extends the scope to modern computational paradigms, enhancing the reader's knowledge of cutting-edge methodologies for addressing complex real-world problems.

By incorporating machine learning alongside optimization and fuzzy logic, this publication stands to make a significant impact on the research community. It bridges the gap between traditional optimization methods and modern data-driven approaches, facilitating interdisciplinary research and innovation. Researchers will benefit from the synthesis of theoretical insights, algorithmic developments, and practical applications, paving the way for advancements in optimization, fuzzy logic, and machine learning.

Coverage:
Coverage forthcoming
Download OnDemand Chapters Banner
Table of Contents
Search this Book:
Reset
Editor/Author Biographies

Dr. Mzili Toufik holds the position of Assistant Professor in the Department of Computer Science at the Faculty of Science, Chouaib Doukkali University. Recognized as a distinguished researcher, he has made noteworthy contributions to the fields of metaheuristics, optimization, and scheduling problems. His scholarly impact is evident through numerous publications in esteemed Q1 journals. Additionally, Dr. Mzili Toufik has demonstrated his expertise as a peer reviewer for several prestigious journals, showcasing his commitment to advancing the academic discourse in his field.

A competent professional with nearly 20 years of experience in Research and Development / Teaching chemical engineering graduates and post graduates.

• Exercises judgment within generally defined practices in selecting methods & techniques for obtaining teaching solutions; ensuring compliance to quality measures and maintenance requisite documentation as well as records

• Skills in managing the administrative activities entailing student management, faculty appraisal/training and upholding of the institution's motto

• Proficiency in teaching Oil and Gas Pipeline and core chemical engineering subjects to Chemical Engineering Graduate and post graduate students.

• Experience in developing curriculum to accommodate different learning styles & maximize students' comprehension

• Received research awards

• Exposure in working with T.A.N.A.P. Gas Pipeline Project at Worley Parsons.

• Exposure in planning and organizing day-to-day research activities and resolving the procedural problem as appropriate to the timely accomplishment of research objectives

• An effective leader with proven skills in leading teams during the project phase, training & guiding team members and enabling knowledge sharing among the team

Momina Shaheen Fellow, Higher Education Academy (UK), is Lecturer in Computing, in University of Roehampton, London, United Kingdom. She is a Ph.D Scholar with 15+ journal publications and 4 conference publications in Computing and cutting edge technologies. She earned her master’s in software engineering from Bahria University Islamabad Campus in 2016. She has more than 6 years of experience in research and academia. She has supervised and initiated a number of projects in her career. She has lead different project in the area of Machine Learning, Data Science, Artificial Intelligence, Internet of things, Cognitive Sciences and Distributed Systems.
Archiving
All of IGI Global's content is archived via the CLOCKSS and LOCKSS initiative. Additionally, all IGI Global published content is available in IGI Global's InfoSci® platform.