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

Name: Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making
Brand: Taylor & Francis Ltd
Price: 218.99 AUD
Availability: PreOrder

Optimization Applications

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

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Paperback | 20 July 2026 | Edition Number 1

At a Glance

Paperback
336 Pages

Dimensions(cm)
23.4 x 15.6 x 1.78

Paperback

$218.99

or 4 interest-free payments of $54.75 with

Available: 20th July 2026

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This book comprehensively discusses natureâ'inspired algorithms, deep learning methods, applications of mathematical programming, and artificial intelligence techniques. It further covers important topics such as the use of machine learning and the Internet of Things and multiâ'objective optimization under Fermatean hesitant fuzzy and uncertain environment.

This book:

Addresses solving practical problems such as supply chain management, smart manufacturing, and healthcare analytics using intelligent computing and discusses solving the fuzzy inference system in ant colony optimization for traveling salesman problem
Presents an overview of artificial intelligence (AI) and explainable AI decisionâ'making (XAIDM) and illustrates a dataâ'driven optimization concept for modeling environmental and economic sustainability
Discusses machine learningâ'based multiâ'objective optimization technique for load balancing in integrated fogâ'cloud environment
Explains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goals
Discusses sustainable transit of hazardous waste, green fractional transportation system, perishable inventory, Mâ'estimation of functional regression operator, and intuitionistic fuzzy sets applications

The text is primarily written for graduate students and academic researchers in diverse fields, including operations research, mathematics, statistics, computer science, information and communication technology, and industrial engineering.

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