Optimization Essentials : Theory, Tools, and Applications
edited by Faiz Hamid
The Many Guises of Linear Programming -- Mixed-Integer Programming Modeling Strategies for Scheduling-Based Optimization Problems -- Converting Weak to Strong MIP Formulations: A Practitioner's Guide -- Valid Inequalities for the Telecommunications Network Design Problem -- Modeling and Solution Approaches for Resource Assignment with Deployment Restrictions -- Modeling and Exact Solution Approaches for the Distance-based Critical Node and Edge Detection Problems -- Benders decomposition: a humanitarian operation with stochastic programming framework -- Delayed Column Generation: Solving large-scale optimization models from the airline industry -- Column Generation and Lagrangian Relaxation: Solving real-world crew (re)scheduling problems -- Dantzig-Wolfe Reformulation and Column Generation: Optimization in the Chemical Tanker Industry -- Volume Algorithm: Training Neural Networks and Solving Difficult Linear Programs -- Exact And Approximation Methods for Mixed Integer Non-LinearProgramming Problem -- Lagrangian Methods and Dynamic Programming-Based MIP Formulations for the Unit Commitment Problem -- Bilevel Optimization: Applications, Models and Solution Approaches -- Modeling and Solving Robust Chance-Constrained Binary Programs Using Sample Average Approximations -- Production Planning And Scheduling on Parallel Machines with Sequence Dependent Setup Times -- Facility Location Problem: A Case Study of School Consolidation -- Quantitative Models in Railway Operations Management -- Rail Yard Optimization -- Solving a Large-Scale Multi-Depot Vehicle Routing Problem Heuristically -- Effective Metaheuristic Algorithms for Platelet Collection Routing Problem -- NSGA-II and TOPSIS for a Multi-Objective Vehicle Routing Problem with Ecological Considerations -- Modelling and Solving Difficult-to-Represent Optimization Problems -- Coordinating a Behavioral Supply Chain under Revenue Sharing Contract.
