Introduction -- City Logistics -- Attended Home Delivery -- Knowledge Discovery and Data Mining -- Analysis of Floating Car Data -- Provision of Distance Matrices -- Evaluation of Information Models -- Routing in City Logistics -- Evaluation of Optimization Models -- Conclusions and Outlook

Part 1: Artificial Intelligence -- 1. Application of Artificial Intelligence and Big Data for Fighting COVID-19 Pandemic -- 2. An IOT-Based COVID-19 Detector Using K-Nearest Neighbour -- 3. Predictive Analytics for Early Detection of COVID-19 by Fuzzy Logic -- 4. Role of Artificial Intelligence...

This new edition covers the central concepts of practical optimization techniques, with an emphasis on methods that are both state-of-the-art and popular. Again a connection between the purely analytical character of an optimization problem and the behavior of algorithms used to solve the...

This book provides a broad coverage of the recent advances in robustness analysis in decision aiding, optimization, and analytics. It offers a comprehensive illustration of the challenges that robustness raises in different operations research and management science (OR/MS) contexts and the...

This textbook on Linear and Nonlinear Optimization is intended for graduate and advanced undergraduate students in operations research and related fields. It is both literate and mathematically strong, yet requires no prior course in optimization. As suggested by its title, the book is divided...

Chapter 1. Introduction -- Chapter 2. Data Collection -- Chapter 3. Data Management – Relational Database Systems (RDBMS) -- Chapter 4. Big Data Management -- Chapter 5. Data Visualization -- Chapter 6. Statistical Methods-Basic inferences -- Chapter 7. Statistical Methods-Regression --...

Chapter 1. Introduction -- Chapter 2. Environmental Policies in the Power Sector -- Chapter 3. Features of Power Sectors -- Chapter 4. Analysis of Power System Operations with Non-Dominant Firms -- Chapter 5. Analysis of Power System Operations with a Dominant Firm and an Oligopolistic Industry...

This textbook is comprised of detailed case studies covering challenging real world applications of OR techniques. Among the overall goals of the book is to provide readers with descriptions of the history and other background information on a variety of industries, service or other...

Optimization: Using Models, Validating Models, Solutions, Answers -- From the Problem to its Mathematical Formulation -- Mathematical Solution Techniques -- Problems Solvable Using Linear Programming -- How Optimization is Used in Practice: Case Studies in Linear Programming -- Modeling...

Introduction -- Classic regression metamodels and their designs -- Classic assumptions versus simulation practice -- Screening the many inputs of realistic simulation models -- Kriging metamodels and their designs -- Simulation optimization.