{"id":11,"date":"2026-09-07T03:24:08","date_gmt":"2026-09-07T03:24:08","guid":{"rendered":"https:\/\/havier.my\/?page_id=11"},"modified":"2026-09-16T10:28:47","modified_gmt":"2026-09-16T10:28:47","slug":"books","status":"publish","type":"page","link":"https:\/\/havier.my\/?page_id=11","title":{"rendered":"Books"},"content":{"rendered":"\n

1. Statistical Methods and Analyses for Optimization Algorithms and Artificial Intelligence<\/strong><\/p>\n\n\n\n

An Intuitive Guide and Practical Steps of Learning from Data<\/em><\/p>\n\n\n\n

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Author: Abdul Hanif Halim & Swagatam Das<\/strong>
Publisher: Partridge<\/strong>
Publication: 2026<\/strong>
ISBN: 9781543761399<\/strong><\/p>\n\n\n\n

About the Book<\/p>\n\n\n\n

This book presents a practical and intuitive approach to statistical methods for analyzing optimization algorithms and artificial intelligence. It covers descriptive and inferential statistics, parametric and nonparametric methods, statistical comparisons, trend analysis, and Bayesian approaches. The book emphasizes practical application, helping readers understand how statistical techniques can be used to evaluate, compare, and interpret results from optimization algorithms and AI-related studies.<\/p>\n\n\n\n

Book Overview<\/strong><\/p>\n\n\n\n

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Statistical Analysis Framework<\/strong><\/p>\n\n\n\n

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Table of Contents<\/strong><\/p>\n\n\n\n

Chapter 1 \u2014 Descriptive Statistics <\/p>\n\n\n\n

Chapter 2 \u2014 Inferential Statistics<\/p>\n\n\n\n

Chapter 3 \u2014 Parametric Tests <\/p>\n\n\n\n

Chapter 4 \u2014 Nonparametric Tests <\/p>\n\n\n\n

Chapter 5 \u2014 Nonparametric Ordered Alternatives <\/p>\n\n\n\n

Chapter 6 \u2014 Post-Hoc Tests <\/p>\n\n\n\n

Chapter 7 \u2014 Bayesian Tests <\/p>\n\n\n\n

Chapter 8 \u2014 Book Summary, Remarks, and Future Prospects <\/p>\n\n\n\n

Chapter 9 \u2014 Appendixes<\/p>\n\n\n\n

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View Book at Partridge<\/a><\/div>\n<\/div>\n\n\n\n

2. Into a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation, and Parameter Control – Volume 1<\/strong><\/p>\n\n\n\n

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Author: Abdul Hanif Abdul Halim, Swagatam Das & Idris Ismail<\/strong>
Publisher: Springer<\/strong>
Publication: 202<\/strong>4
ISBN: 978-3-031-74012-1<\/strong><\/p>\n\n\n\n

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View Book at Springer<\/a><\/div>\n<\/div>\n\n\n\n

About the Book<\/p>\n\n\n\n

This volume provides a comprehensive exploration of fundamental and advanced concepts in evolutionary and metaheuristic computing, with particular emphasis on the critical balance between exploration and exploitation. It examines how algorithms initialize their search, how exploration and exploitation mechanisms influence the search process, and how distributions and mathematical functions can be used to improve optimization performance.<\/p>\n\n\n\n

Combining theoretical foundations with practical perspectives, the book provides researchers, postgraduate students, and practitioners with a deeper understanding of the mechanisms that influence the behaviour and effectiveness of evolutionary optimization algorithms.<\/p>\n\n\n\n

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3. Into a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation, and Parameter Control – Volume 2<\/strong><\/p>\n\n\n\n

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Author: Abdul Hanif Abdul Halim, Swagatam Das & Idris Ismail<\/strong>
Publisher: Springer<\/strong>
Publication: 202<\/strong>5
ISBN: 978-3-031-75576-7<\/strong><\/p>\n\n\n\n

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View Book at Springer<\/a><\/div>\n<\/div>\n\n\n\n

About the Book<\/p>\n\n\n\n

This volume extends the study of evolutionary and metaheuristic computing by focusing on the design, tuning, and control of algorithmic search mechanisms. It examines the roles of location, population size, and computational capacity, followed by systematic approaches to algorithm parameter tuning and parameter control.<\/p>\n\n\n\n

The book brings together theoretical concepts and practical strategies for improving the adaptability, efficiency, and search performance of optimization algorithms. It is intended for researchers, postgraduate students, algorithm developers, and practitioners seeking a deeper understanding of parameter control and the mechanisms that shape evolutionary optimization.<\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

1. Statistical Methods and Analyses for Optimization Algorithms and Artificial Intelligence An Intuitive Guide and Practical Steps of Learning from Data Author: Abdul Hanif Halim & Swagatam DasPublisher: PartridgePublication: 2026ISBN: 9781543761399 About the Book This book presents a practical and intuitive approach to statistical methods for analyzing optimization algorithms and artificial intelligence. It covers descriptive […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-11","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/havier.my\/index.php?rest_route=\/wp\/v2\/pages\/11","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/havier.my\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/havier.my\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/havier.my\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/havier.my\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=11"}],"version-history":[{"count":10,"href":"https:\/\/havier.my\/index.php?rest_route=\/wp\/v2\/pages\/11\/revisions"}],"predecessor-version":[{"id":75,"href":"https:\/\/havier.my\/index.php?rest_route=\/wp\/v2\/pages\/11\/revisions\/75"}],"wp:attachment":[{"href":"https:\/\/havier.my\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=11"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}