An algorithm development environment for problem-solving

2010 International Conference on Computational Problem-Solving, ICCP 2010

Volumn , Issue , 2010, Pages 85-90

  Chen, Xianshun ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM DEVELOPMENT; AUTOMATED CONFIGURATION; COMPUTING TECHNIQUES; DEVELOPMENT PLATFORM; LEARNING ENGINE; MEMETIC; META HEURISTIC ALGORITHM; META HEURISTICS; TREE DATA STRUCTURES;

ALGORITHMS; DATA STRUCTURES; DATA VISUALIZATION; TREES (MATHEMATICS); VISUALIZATION;

PROBLEM SOLVING;

EID: 79951644914     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. H.S. Kim and S.B. Cho. An efficient genetic algorithm with less fitness evaluation by clustering. In Proceedings of Evolutionary Computation 2001, volume 2, pages 887-894. 2001.
2. M.H. Lim, S. Gustafson, N. Krasnogor, Y.S. Ong, Editorial, Memetic Computing, volume 1 issue 3, pages 173-174. 2009.
3. C. Voudouris, R. Dorne, D. Lesaint, and A. Liret. iopt: A software toolkit for heuristic search methods. In CP01, Paphos, pages 716-729. Springer Verlag, 2001.
4. L.D. Gaspero and A. Schaerf. Easylocal++: An object-oriented framework for flexible design of local search algorithms, Software: Practice and Experience, volume 33 issue 8, pages 733-765. 2000.
5. A. Fink and S. Voß. Hotframe: A heuristic optimization framework. Optimization Software Class Libraries, OR/CS Interfaces Series, pages 81-154. Kluwer Academic Publishers, Boston, 2002.
6. M. Jones, G. McKeown, and V. Rayward-Smith. Templar: An object-oriented framework for distributed combinatorial optimzation. In Proceedings of the UNICOM Seminar on Modern Heuristics for Decision Support. UNICOM Ltd, Brunei University, UK, 1998.
7. A. Schaerf, M. Lenzerini, and M. Cadoli. Local++: a C++ framework for local search algorithms. In Proceedings of Technology of Object-Oriented Languages and Systems, pages 152-161, Jul 1999.
8. P. Collet, E. Lutton, M. Schoenauer, and J. Louchet. Take it EASEA. In Lecture Notes In Computer Science; volume 1917 archive. Proceedings of the 6th International Conference on Parallel Problem Solving, Sept 2000.
9. C. Veenhuis, K. Franke, and M. Koppen. A semantic model for evolutionary computation. In Proceedings of 6th International Conference on Soft Computing, 2000.
10. M. Wall. GAlib: A C++ library of genetic algorithm components. Mechanical Engineering Department, Massachusetts Institute of Technology, 1996.
11. M. Keijzer, J.J. Merelo, G. Romero, and M. Schoenauer. Evolving Objects: a general purpose evolutionary computation library. In EA-01, Evolution Artificielle, 5th International Conference in Evolutionary Algorithms, pages 231-244, 2001.
12. HEEDS (Hierarchical Evolutionary Engineering Design System), Getting Started Manual, 2002.
13. O. Lassila. Ozone temporal constraint propagator. Technical Report CMU-RI-TR-96-12, Robotics Institute, Pittsburgh, PA, March 1996.
14. R. Meuth, M. H. Lim, Y. S. Ong, and D. C. Wunsch, "A proposition on memes and meta-memes in computing for higher-order learning," Memetic Computing Journal, vol. 1, no. 2, pp. 85-100, 2009.
15. M. H. Lim, S. Gustafson, N. Krasnogor, and Y. S. Ong, "Editorial to the first issue," Memetic Comput. J., vol. 1, pp. 1-2, 2009.
16. Y. S. Ong, M. H. Lim, F. Neri, and H. Ishibuchi, "Special Issue on 'Emerging Trends in Soft Computing - Memetic Algorithm'," Soft Computing Journal, vol. 13, no. 8, 2009.
17. Y. S. Ong, M. H. Lim, and X. Chen, "Memetic Computation - Past, Present & Future," Computational Intelligence Magazine, vol. 5, no. 2, pp. 24 - 31, 2010.
18. J. Tang, M.H. Lim and Y.S. Ong, Diversity-Adaptive Parallel Memetic Algorithm for Solving Large Scale Combinatorial Optimization Problems, Soft Computing Journal, volume 11 issue 9, pages 873-888. July 2007.
19. J. Tang, M.H. Lim and Y.S. Ong, Parallel Memetic Algorithm with Selective Local Search for Large Scale Quadratic Assignment Problems, International Journal of Innovative Computing, Information and Control, volume 2 issue 6, pages 1399-1416. Dec 2006.
20. J. Tang, M. H. Lim and Y. S. Ong, Adaptation for parallel memetic algorithm based on population entropy. In Proceedings of the 8th annual conference on Genetic and Evolutionary Computation (GECCO), Seattle, Washington, USA, pages 575 - 582, 2006. (Best paper Award Nomination)
21. R. E. Burkard, S. E. Karisch, and F. Rendl. QAPLIB - A Quadratic Assignment Problem Library. Journal of Global Optimization, volume 10 issue 4, pages 391-403. 1997.