Heatmap visualization of population based multi objective algorithms

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4403 LNCS, Issue , 2007, Pages 361-375

  Pryke, Andy ^a   Mostaghim, Sanaz ^b   Nazemi, Alireza ^a  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

^b UNIVERSITY OF KARLSRUHE   (Germany)

Author keywords

Evolutionary algorithms; Multi objective algorithms; Multi objective optimization; Real world applications; Visualization

Indexed keywords

DATA VISUALIZATION; EVOLUTIONARY ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION; PARAMETER ESTIMATION; THREE DIMENSIONAL;

HEATMAP VISUALIZATION; MULTIOBJECTIVE ALGORITHMS; REAL WORLD APPLICATIONS;

COMPUTATIONAL METHODS;

EID: 37249067607     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-70928-2_29     Document Type: Conference Paper

References (15)

1. Kiam Heong Ang, Gregory Chong and Yun Li. Visualization Technique for Analyzing Non-Dominated Set Comparison, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 36-40, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.
2. Shigeru Obayashi and Daisuke Sasaki, Visualization and Data Mining of Pareto Solutions Using Self-Organizing Map, Second International Conference on Evolutionary MultiCriterion Optimization (EMO 2003), Faro, Portugal, LNCS 2632, Springer-Verlag Berlin Heidelberg 2003, pp. 796-809, April 2003.
3. K. Deb, L. Thiele, M. Laumanns, and E. Zitzler, "Scalable multi-objective optimization test problems," in Proc. Congr. Evol. Comput., D. B. Fogel, M. A. El-Sharkawi, X. Yao, G. Greenwood, H. Iba, P. Marrow, and M. Shackleton, Eds., May 2002, vol. 1, pp. 825-830
4. S. Mostaghim and J. Teich., Strategies for finding good local guides in multi-objective particle swarm optimization. In IEEE Swarm Intelligence Symposium, pages 26-33, Indianapolis, USA, 2003.
5. The Chipping Forecast II, Nature Genetics Special Issue, December 2002, Volume 32, No 4s
6. Halter, W.; Mostaghim, S., "Bilevel Optimization of Multi-Component Chemical Systems Using Particle Swarm Optimization," Evolutionary Computation, 2006. CEC 2006. IEEE Congress on, vol., no.pp. 1240-1247, 16-21 July 2006
7. O' Loughlin, G., Huber, W., Chocat, B., "Rainfall-runoff process and modeling", Journal of Hydraulic Research, VOL. 34, NO. 6, pp. 733-751, 1996.
8. Furundzic, D.,: "Application example of neural networks for time series analysis: rainfallrunoff modeling", Signal Processing, VOL. 64, pp. 383-396, 1998.
9. Gan, T., Y., Biftu, G., F., "Automatic calibration of conceptual rainfall-runoff models: optimization algorithms, catchment conditions, and model structure", Water resources research, VOL. 32, NO. 12, pp. 3513-3524, 1993.
10. Vrugt, J. A., Gupta H. V., Bouten, W., and Sorooshian, S., "A shuffled complex evolution metropolis algorithm for optimization and uncertainty assessment of hydrologie model parameters", Water Resources Research, VOL. 39 (8), 2003.
11. Boyle, D. P., Gupta, H. V., and Sorooshian S., "Toward improved calibration of hydrological models: Combination the strengths of manual and automatic methods, Water Resources Research, VOL. 36(12), 3663-3674, 2000.
12. Wagener, T., Wheater, H. S., "On the evaluation of conceptual rainfall-runoff models using multiple-objectives and dynamic identifiability analysis", In Littlewood, I. (ed.), Continuous river flow simulation: methods, applications and uncertainty, British Hydrological Society, Occasional paper, No. 13, Wallingford, UK, pp.45-51, 2002.
13. Vrugt, J. A., Gupta H. V., Bastidas, L. A., Bouten, W., and Sorooshian, S., "Effective and efficient algorithm for multi-objective optimization of hydrologie models", Water Resources Research, VOL. 39 (8), 2003.
14. Deb, K., Pratap, A., Agrawal, S. and Meyarivan, T. (2000). A fast and elitist multiobjective genetic algorithm: NSGA-II. Technical Report No. 2000001. Kanpur: Indian Institute of Technology Kanpur, India, http://citeseer.ist.psu. edu/article/deb00fast.html
15. Pryke A., Mostaghim S., Nazemi A. (2006),"Heatmap Visualization of Population Based Multi Objective Algorithms", Technical Report Number CSR-06-14, University of Birmingham, School of Computer Science, ftp://ftp.cs.bham.ac.uk/pub/techreports/2006/CSR-06-14.pdf