Mota M.M. et al. (eds.) Applied Simulation and Optimization: In Logistics, Industrial and Aeronautical Practice

Springer, 2015. — 322 p. — (). — ISBN: 9783319150321, EISBN 9783319150338.
Miguel Mujica Mota, Idalia Flores De La Mota, Daniel Guimarans Serrano (eds.).
This book introduces students to optimization theory and its use in economics and allied disciplines. The first of its three parts examines the existence of solutions to optimization problems in Rn, and how these solutions may be identified. The second part explores how solutions to optimization problems change with changes in the underlying parameters, and the last part provides an extensive description of the fundamental principles of finite and infinitehorizon dynamic programming. A preliminary chapter and three appendices are designed to keep the book mathematically selfcontained.Simulation-Based Optimization with HeuristicLab: Practical Guidelines and Real-World Applications.
Simulation Optimization Approach to Solve a Complex Multi-objective Redundancy Allocation Problem.
OR and Simulation in Combination for Optimization.
Tree Search and Simulation.
Integrated Solutions for Delivery Planning and Scheduling in Distribution Centres.
Large Neighbourhood Search and Simulation for Disruption Management in the Airline Industry.
Allocation of Airport Check-in Counters Using a Simulation-Optimization Approach.
Simulation and Optimization of the Pre-hospital Care System of the National University of Mexico.
Simulation-Based Optimization Using Greedy Techniques and Simulated Annealing for Optimal Equipment Selection Within Print Production Environments.
Linear Bus Holding Model for Real-Time Traffic Network Control.