Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making

Artificial Intelligence Applications

By: Asaju La’aro Bolaji (Editor), Umar Muhammad Modibbo (Editor), Irfan Ali (Editor), Harish Garg (Editor)

Write A Review

Paperback | 21 June 2026 | Edition Number 1

At a Glance

Paperback
212 Pages

Dimensions(cm)
23.4 x 15.6 x 1.14

Paperback

$194.75

or 4 interest-free payments of $48.69 with

Ships in 5 to 10 business days

This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important topic such as linking green supply chain management practices with competitiveness, industry 4.0, and social responsibility.

This book:

Addresses solving practical problems such as supply chain management, take-off, and healthcare analytics using intelligent computing
Presents a comparative analysis of machine learning algorithms for power consumption prediction
Discusses a machine learning-based multi-objective optimization technique for load balancing in an integrated fog cloud environment
Illustrates a data-driven optimization concept for modeling environmental and economic sustainability
Explains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goals

The text is primarily written for graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, mathematics and statistics, computer science and engineering.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.