Applying Particle Swarm Optimization

Part I: Applying Particle Swarm Optimization to Portfolio Optimization.- 1. Utility: Theories and Models.- 2. Portfolio Optimization.- 3. Behavioral Portfolio Theory.- 4. A Comparative Study on PSO with Other Metaheuristic Methods.- 5. Mathematical Model of Particle Swarm Optimization:Numerical Optimization Problems.- 6. Particle Swarm Optimization: The Foundation.- 7. The PSO Family: Application to the Portfolio OptimizationProblem.- 8. A Constrained Portfolio Selection Model Solved by Particle Swarm Optimization Under Different Risk Measures.- 9. Optimal Portfolio Selection with Particle Swarm Algorithm: An Application on BIST-30.- 10. Cardinality-Constrained Higher-Order Moment Portfolios Using Particle Swarm Optimization.- Part II: Different Applications of PSO.- 11. Different Applications of PSO.- 12. Particle Swarm Optimization in Global Path Planning for Swarm of Robots.- 13. Training Multi-layer Perceptron Using Hybridization of Chaotic Gravitational Search Algorithm and Particle Swarm Optimization.- 14. Solving Optimization Problem with Particle Swarm Optimization: Solving Hybrid Flow Shop Scheduling Problem with Particle Swarm Optimization Algorithm.- 15. Constriction Coefficient-Based Particle Swarm Optimization and Gravitational Search Algorithm for Image Segmentation.- 16. An Overview of the Performance of PSO Algorithm in Renewable Energy Systems.- 17. Application of PSO in Distribution Power Systems: Operation and Planning Optimization.

Burcu Adigüzel Mercangöz is an Associate Professor of Operations Research at the Faculty of Transportation and Logistics, Istanbul University (Turkey). Her research interests include Quantitative Methods, Multicriteria Decision Analysis, Optimization Techniques, Optimization (Mathematics), Supply Chain Management, Transportation, Logistics, Information Systems, Heuristics, and Meta-Heuristics (Tabu Search, Genetic Algorithms, Simulated Annealing, Ant-Colony, Particle Swarm Optimization).