Combinatorial Problems -- 10. Other Models for Robust Optimization -- 11. Open Problems. …This book offers a self-contained introduction to the world of robust combinatorial optimization. It explores decision …-making using the min-max and min-max regret criteria, while also delving into the two-stage and recoverable robust optimization …

mitigated to improve the MG’s performance. To address these challenges, researchers have introduced heuristic optimization …-linear and nonconvex optimization, posing challenges in dealing with several operational aspects of MG such as energy management … optimization, cost-effective dispatch, dependability, storage sizing, cyber-attack minimization, and grid integration. These …