Computational Optimization, Methods and Algorithms

Computational optimization is an important paradigm with a wide range of applications. This book reviews and discusses the latest developments concerning optimization and modelling with a focus on methods and algorithms for computational optimization.

State of the art in Computational Optimization Presents various Applications in Engineering and Industry Written by leading experts in the field

Inhalt
Computational Optimization: An Overview.- Optimization Algorithms.- Surrogate-Based Methods.- Derivative-Free Optimization.- Maximum Simulated Likelihood Estimation: Techniques andApplications in Economics.- Optimizing Complex Multi-Location Inventory Models UsingParticle Swarm Optimization.- Traditional and Hybrid Derivative-Free Optimization Approachesfor Black Box Functions.- Simulation-Driven Design in Microwave Engineering: Methods.- Variable-Fidelity Aerodynamic Shape Optimization.- Evolutionary Algorithms Applied to Multi-Objective AerodynamicShape Optimization.- An Enhanced Support Vector Machines Model for Classificationand Rule Generation.- Benchmark Problems in Structural Optimization.