An algorithm development environment for problem-solving: software review (2024)

An algorithm development environment for problem-solving: software review (1) https://doi.org/10.1007/s12293-012-0083-1

Journal: Memetic Computing, 2012, №2, p.149-161

Publisher: Springer Science and Business Media LLC

Author: Xianshun Chen

List of references

  1. Chen XS, Ong YS, Lim MH, Tan KC (2011) A multi-facet survey of memetic computing. IEEE Trans Evol Comput 15(5): 591–607
    An algorithm development environment for problem-solving: software review (2) https://doi.org/10.1109/TEVC.2011.2132725
  2. Lim MH, Krasnogor N, Ong YS, Gustafson S (2012) Editorial, Memetic Comput 4:1
    An algorithm development environment for problem-solving: software review (3) https://doi.org/10.1007/s12293-012-0078-y
  3. Lim MH, Gustafson S, Krasnogor N, Ong YS (2009) Editorial. Memetic Comput 1(3): 173–174
    An algorithm development environment for problem-solving: software review (4) https://doi.org/10.1007/s12293-009-0021-z
  4. Voudouris C, Dorne R, Lesaint D, Liret A (2001) iopt: A software toolkit for heuristic search methods. In: CP01, Paphos, pp 716–729. Springer, Berlin
    An algorithm development environment for problem-solving: software review (5) https://doi.org/10.1007/3-540-45578-7_58
  5. Gaspero LD, Schaerf A (2000) Easylocal++: An object-oriented framework for flexible design of local search algorithms. Softw Practice Experience 33(8): 733–765
    An algorithm development environment for problem-solving: software review (6) https://doi.org/10.1002/spe.524
  6. Fink A, Voβ S (2002) Hotframe: a heuristic optimization framework. Optimization Software Class Libraries, OR/CS Interfaces Series. Kluwer Academic Publishers, Boston, pp 81–154
  7. Jones M, McKeown G, Rayward-Smith V (1998) 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
  8. Schaerf A, Lenzerini M, Cadoli M (Jul 1999) Local++: a C++ framework for local search algorithms. In: Proceedings of technology of object-oriented languages and systems, pp 152–161
  9. Andreatta AA, Carvalho SER, Ribeiro CC (1998) An object-oriented framework for local search heuristics. In: Proceedings of the technology of object-oriented languages and systems (TOOLS ’98). IEEE Computer Society, Washington, DC, pp 33
    An algorithm development environment for problem-solving: software review (7) https://doi.org/10.1109/TOOLS.1998.711001
  10. Shaw P, Backer BD, Furnon V (2002) Improved local search for CP toolkits. Ann Oper Res 115(1):31–50
    An algorithm development environment for problem-solving: software review (8) https://doi.org/10.1023/A:1021188818613
  11. Collet P, Lutton E, Schoenauer M, Louchet J (Sept 2000) Take it EASEA. In: Lecture notes in computer science, vol 1917 archive. Proceedings of the 6th international conference on parallel problem solving
    An algorithm development environment for problem-solving: software review (9) https://doi.org/10.1007/3-540-45356-3_87
  12. Veenhuis C, Franke K, Koppen M (2000) A semantic model for evolutionary computation. In: Proceedings of 6th international conference on soft computing
  13. Wall M (1996) GAlib: A C++ library of genetic algorithm components. Mechanical Engineering Department. Massachusetts Institute of Technology
  14. Keijzer M, Merelo JJ, Romero G, Schoenauer M (2001) Evolving objects: a general purpose evolutionary computation library. In: EA-01, evolution artificielle, 5th international conference in evolutionary algorithms, pp 231–244
  15. HEEDS (2002) Hierarchical Evolutionary Engineering Design System. Getting Started Manual
  16. Lassila O (1996) Ozone temporal constraint propagator. Technical Report CMU-RI-TR-96-12, Robotics Institute, Pittsburgh
  17. Birattari M, Stutzle T, Paquete L, Varrentrapp K (2002) A racing algorithm for configuring metaheuristics. In: Proceedings of the genetic and evolutionary computation conference, pp 11–18. Morgan Kaufmann, San Fransisco
  18. Stanley KO, Bryant BD, Miikkulainen R (2005) Real-time neuroevolution in the nero video game. IEEE Trans Evol Comput 9(6): 653–668
    An algorithm development environment for problem-solving: software review (10) https://doi.org/10.1109/TEVC.2005.856210
  19. Koza JR (1992) Genetic programming: on the programming of computers by means of natural selection. complex adaptive systems. The MIT Press, Cambridge
  20. Burke E, Kendall G, Newall J, Hart E, Ross P, Schulenburg S (2003) Hyper-heuristics: an emerging direction in modern search technology. In: Handbook of metaheuristics, International series in operations research & management science, Chap. 16, pp 457–474
    An algorithm development environment for problem-solving: software review (11) https://doi.org/10.1007/0-306-48056-5_16
  21. Ong YS, Keane AJ (2004) Meta-lamarckian learning in memetic algorithms. IEEE Trans Evol Comput 8(2): 99–110
    An algorithm development environment for problem-solving: software review (12) https://doi.org/10.1109/TEVC.2003.819944
  22. Ong YS, Lim MH, Zhu N, Wong KW (2006) Classification of adaptive memetic algorithms: a comparative study. IEEE Trans Syst Man Cybern Part B 36(1): 141–152
    An algorithm development environment for problem-solving: software review (13) https://doi.org/10.1109/TSMCB.2005.856143
  23. Nguyen QH, Ong YS, Lim MH (2008) Non-genetic transmission of memes by diffusion. In: GECCO’08: proceedings of the 10th annual conference on genetic and evolutionary computation, pp 1017–1024. ACM, New York
    An algorithm development environment for problem-solving: software review (14) https://doi.org/10.1145/1389095.1389285
  24. Dawkins R (1989) The selfish gene. Clarendon Press, Oxford
  25. Krasnogor N, Smith J (2001) Emergence of protable search strategies based on a simple inheritance mechanism. In: The genetic and evolutionary computation conference, pp 432–439. San Francisco
  26. Smith J (2002) Co-evolving memetic algorithms: initial investigations. In: Parallel problem solving from nature—PPSN VII, pp 537–548
    An algorithm development environment for problem-solving: software review (15) https://doi.org/10.1007/3-540-45712-7_52
  27. Krasnogor N (1999) Co-evolution of genes and memes in memetic algorithms. In: Proceedings of the 1999 genetic and evolutionary computation conference workshop program, p 371
  28. Krasnogor N, Gustafson S (2002) Toward truly ”‘memetic”’ memetic algorithms: discussion and proof of concepts. In: Advances in nature-inspired computation: the PPSN VII workshops, pp 21–22
  29. Krasnogor N, Gustafson S (2004) A study on the use of “self-generation” in memetic algorithms. Nat Comput 3(1): 53–76
    An algorithm development environment for problem-solving: software review (16) https://doi.org/10.1023/B:NACO.0000023419.83147.67
  30. Lim KK, Ong YS, Lim MH, Chen XS, Agarwal A (Nov 2007) Hybrid Ant colony algorithm for path planning in Sparse graphs. Soft Comput J 981–994
    An algorithm development environment for problem-solving: software review (17) https://doi.org/10.1007/s00500-007-0264-x
  31. Agarwal A, Xu YL, Lim MH (2003) Graph compression via compaction of degree-2 nodes for urav visitation sequencing. Unmanned Vehicle System Technologies
  32. Tang J, Lim MH, Ong YS (2007) Diversity-adaptive parallel memetic algorithm for solving large scale combinatorial optimization problems. Soft Comput J 11(9): 873–888
    An algorithm development environment for problem-solving: software review (18) https://doi.org/10.1007/s00500-006-0139-6
  33. Tang J, Lim MH, Ong YS (2006) Parallel memetic algorithm with selective local search for large scale quadratic assignment problems. Int J Innov Comput Inf Control 2(6): 1399–1416
  34. Tang J, Lim MH, Ong YS (2006) Adaptation for parallel memetic algorithm based on population entropy. In: Proceedings of the 8th annual conference on genetic and evolutionary computation (GECCO), Seattle, Washington, pp 575–582 (Best paper Award Nomination)
    An algorithm development environment for problem-solving: software review (19) https://doi.org/10.1145/1143997.1144100
  35. Burkard RE, Karisch SE, Rendl F (1997) QAPLIB—a quadratic assignment problem library. J Glob Optim 10(4): 391–403
    An algorithm development environment for problem-solving: software review (20) https://doi.org/10.1023/A:1008293323270

Publications that cite this publication

A new modified panoramic UAV image stitching model based on the GA-SIFT and adaptive threshold method

Y. H. Zhang, X. Jin, Z. J. Wang

An algorithm development environment for problem-solving: software review (22) https://doi.org/10.1007/s12293-016-0219-9

2016, Memetic Computing, №3, p.231-244

Scopus

WoS

Crossref citations:2

Complex Scenario Planning for Disaster Relief

Meng Hiot Lim, Yew-Kong Leong, Nicholas Jit Yang Tan, Liang-Yong Ho

An algorithm development environment for problem-solving: software review (23) https://doi.org/10.1145/3059336.3059355

2017, Proceedings of the 2017 International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence

Crossref citations:0

Find all citations of the publication

About this publication

Number of citations 5
Number of works in the list of references 35
Journal indexed in Scopus Yes
Journal indexed in Web of Science Yes
An algorithm development environment for problem-solving: software review (2024)
Top Articles
Latest Posts
Article information

Author: Lakeisha Bayer VM

Last Updated:

Views: 6254

Rating: 4.9 / 5 (49 voted)

Reviews: 88% of readers found this page helpful

Author information

Name: Lakeisha Bayer VM

Birthday: 1997-10-17

Address: Suite 835 34136 Adrian Mountains, Floydton, UT 81036

Phone: +3571527672278

Job: Manufacturing Agent

Hobby: Skimboarding, Photography, Roller skating, Knife making, Paintball, Embroidery, Gunsmithing

Introduction: My name is Lakeisha Bayer VM, I am a brainy, kind, enchanting, healthy, lovely, clean, witty person who loves writing and wants to share my knowledge and understanding with you.