Computational Intelligence in Expensive Optimization Problems

I. Techniques for Resource-Intensive Problems

1. A Survey of Fitness Approximation Methods Applied in Evolutionary Algorithms
L. Shi, K. Rasheed

2. A Review of Techniques for Handling Expensive Functions in Evolutionary Multi-Objective Optimization
Luis V. Santana-Quintero, Alfredo Arias Montaño, Carlos A. Coello Coello

3. Multilevel Optimization Algorithms Based on Metamodel- and Fitness Inheritance-Assisted Evolutionary Algorithms
Kyriakos C. Giannakoglou, Ioannis C. Kampolis

4. Knowledge-Based Variable-Fidelity Optimization of Expensive Objective Functions through Space Mapping
Slawomir Koziel, John W. Bandler

5. Reducing Function Evaluations Using Adaptively Controlled Differential Evolution with Rough Approximation Model
Tetsuyuki Takahama, Setsuko Sakai

6. Kriging Is Well-Suited to Parallelize Optimization
David Ginsbourger, Rodolphe Riche, Laurent Carraro

7. Analysis of Approximation-Based Memetic Algorithms for Engineering Optimization
Frederico Gadelha Guimarães, David Alister Lowther, Jaime Arturo Ramírez

8. Opportunities for Expensive Optimization with Estimation of Distribution Algorithms
Alberto Ochoa

9. On Similarity-Based Surrogate Models for Expensive Single- and Multi-objective Evolutionary Optimization
L. G. Fonseca, H. J. C. Barbosa, A. C. C. Lemonge

10. Multi-objective Model Predictive Control Using Computational Intelligence
Hirotaka Nakayama, Yeboon Yun, Masakazu Shirakawa

11. Improving Local Convergence in Particle Swarms by Fitness Approximation Using Regression
Stefan Bird, Xiaodong Li

II. Techniques for High-Dimensional Problems

12. Differential Evolution with Scale Factor Local Search for Large Scale Problems
Andrea Caponio, Anna V. Kononova, Ferrante Neri

13. Large-Scale Network Optimization with Evolutionary Hybrid Algorithms: Ten Years’ Experience with the Electric Power Distribution Industry
Pedro M. S. Carvalho, Luis A. F. M. Ferreira

14. A Parallel Hybrid Implementation Using Genetic Algorithms, GRASP and Reinforcement Learning for the Salesman Traveling Problem
João Paulo Queiroz Santos, Francisco Chagas Lima Júnior, Rafael Marrocos Magalhães, Jorge Dantas Melo, Adrião Duarte Doria Neto

15. An Evolutionary Approach for the TSP and the TSP with Backhauls
Haldun Süral, Nur Evin Özdemirel, Ýlter Önder, Meltem Sönmez Turan

16. Towards Efficient Multi-objective Genetic Takagi-Sugeno Fuzzy Systems for High Dimensional Problems
Marco Cococcioni, Beatrice Lazzerini, Francesco Marcelloni

17. Evolutionary Algorithms for the Multi Criterion Minimum Spanning Tree Problem
Madeleine Davis-Moradkhan, Will Browne

18. Loss-Based Estimation with Evolutionary Algorithms and Cross-Validation
David Shilane, Richard H. Liang, Sandrine Dudoit

III. Real-World Applications

19. Particle Swarm Optimisation Aided MIMO Transceiver Designs
S. Chen, W. Yao, H. R. Palally, L. Hanzo

20. Optimal Design of a Common Rail Diesel Engine Piston
Teresa Donateo

21. Robust Preliminary Space Mission Design under Uncertainty
Massimiliano Vasile, Nicolas Croisard

22. Progressive Design Methodology for Design of Engineering Systems
Praveen Kumar, Pavol Bauer

23. Reliable Network Design Using Hybrid Genetic Algorithm Based on Multi-Ring Encoding
Jin-Myung Won, Alice Malisia, Fakhreddine Karray

24. Isolated Word Analysis Using Biologically-Based Neural Networks
Walter M. Yamada, Theodore W. Berger

25. A Distributed Evolutionary Approach to Subtraction Radiography
Gabriel Mañana Guichón, Eduardo Romero Castro

26. Speeding-Up Expensive Evaluations in High-Level Synthesis Using Solution Modeling and Fitness Inheritance
Christian Pilato, Daniele Loiacono, Antonino Tumeo, Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto

Nyckelord: Engineering, Appl.Mathematics/Computational Methods of Engineering, Artificial Intelligence (incl. Robotics), Applications of Mathematics