This volume presents a collection of contributions dedicated to applied problems in the financial and energy sectors that have been formulated and solved in a stochastic optimization framework. The invited authors represent a group of scientists and practitioners, who cooperated in recent years...

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

Introduction and Motivation -- Optimality and Complementarity -- Some Microeconomic Principles -- Equilibria and Complementarity Problems -- Variational Inequality Problems -- Optimization Problems Constrained by Optimization Problems -- Equilibrium Problems with Equilibrium Constraints --...

Risk: The Convergence -- Risk Management Everywhere -- Probability Elements: An Applied Refresher -- Multivariate Probability Distributions: Applications and Risk Models -- Temporal Risk Processes -- Risk Measurement -- Risk Valuation -- Risk Economics and the Extended CCAPM -- Risk Pricing...

This handbook covers DEA topics that are extensively used and solidly based. The purpose of the handbook is to (1) describe and elucidate the state of the field and (2), where appropriate, extend the frontier of DEA research. It defines the state-of-the-art of DEA methodology and its uses. This...

Mean-Risk Analysis: An Introduction -- Mean-Risk Analysis of Single-Period Inventory Problems -- Mean-Risk Analysis of Multi-Period Inventory Problems -- Mean-Risk Analysis of Supply Chain Coordination Problems -- Mean-Risk Analysis: Conclusion, Future Research and Extensions

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...

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...

Chapter1: Simulation of Rail Operations -- Chapter2: Capacity Assessment in Railway Networks -- Chapter3: Aggregation methods for railway network design based on lifted Benders Cuts -- Chapter4: Freight Train Routing -- Chapter5: Robust Train Timetabling -- Chapter6: Modern Challenges in...