Theory, Algorithms, and Experiments in Applied Optimization

Introduction

This book celebrates the remarkable contributions of Panos M. Pardalos, offering a comprehensive collection of 19 rigorously peer-reviewed articles that span the breadth of his research interests.

From deterministic and stochastic global optimization to combinatorial optimization, this volume provides insights into solving modern applied problems in planning theory, support vector machines, data mining, supply chain optimization, and more.

Readers will encounter a diverse array of topics, including Pareto optimality, game and equilibrium theory, vehicle routing problems, energy systems, and financial markets.

Each article stands alone in its scientific, methodological, and practical individuality, making this collection a must-read for both junior university students and seasoned professionals.

The contributing authors, many of whom are former students and now esteemed professors, offer unique perspectives and cutting-edge research findings.

This book is an invaluable resource for researchers, academics, and practitioners in fields such as operations research, resource management, computer science, and data analysis.

Whether you are taking your first steps in optimization or are an advanced professional seeking to deepen your understanding, this volume provides the tools and insights necessary to navigate the complex landscape of applied optimization problems.