Optimization, Learning, and Control for Interdependent Complex Networks

Chapter 1 Panorama of Optimization, Control, and Learning Algorithms for Interdependent SWEET (Societal, Water, Energy, Economic, and Transportation) Networks

Chapter 2 Promises of Fully Distributed Optimization for IoT-Based Smart City Infrastructures

Chapter 3 Evolutionary Computation, Optimization, and Learning Algorithms for Data Science

Chapter 4 Applications of Nature-Inspired Algorithms for Dimension Reduction: Enabling Efficient Data Analytics

Chapter 5 Feature Selection in High-Dimensional Data

Chapter 6 An Introduction to Advanced Machine Learning: Meta-Learning Algorithms, Applications, and Promises

Chapter 7 Predictive Analytics in Future Power Systems: A Panorama and State-Of-The-Art of Deep Learning Applications

Chapter 8 Bi-level Adversary-Operator Cyberattack Framework and Algorithms for Transmission Networks in Smart Grids

Chapter 9 Toward Operational Resilience of Smart Energy Networks in Complex Infrastructures

Chapter 10 Control of Cooperative Unmanned Aerial Vehicles: Review of Applications, Challenges, and Algorithms

Chapter 11 An Optimal Approach for Load-Frequency Control of Islanded Microgrids Based on Nonlinear Model

Chapter 12 Photovoltaic Design for Smart Cities and Demand Forecasting Using a Truncated Conjugate Gradient Algorithm