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Peter Ross: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Andrew Tuson, Peter Ross
    Co-evolution of Operator Settings in Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computing, AISB Workshop, 1996, pp:286-296 [Conf]
  2. David Corne, Emma Collingwood, Peter Ross
    Investigating Multipoidy's Niche. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computing, AISB Workshop, 1996, pp:189-197 [Conf]
  3. David Corne, Peter Ross
    Some Combinatorial Landscapes on which a Genetic Algorithm Outperforms Other Stochastic Iterative Methods. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computing, AISB Workshop, 1995, pp:1-13 [Conf]
  4. David Corne, Peter Ross, Hsiao-Lan Fang
    Fast Practical Evolutionary Timetabling. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computing, AISB Workshop, 1994, pp:250-263 [Conf]
  5. Hsiao-Lan Fang, David Corne, Peter Ross
    A Genetic Algorithm for Job-Shop Problems with Various Schedule Quality Criteria. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computing, AISB Workshop, 1996, pp:39-49 [Conf]
  6. Peter Ross, David Corne
    Comparing Genetic Algorithms, Simulated Annealing, and Stochastic Hillclimbing on Timetabling Problems. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computing, AISB Workshop, 1995, pp:94-102 [Conf]
  7. Peter Ross, Andrew Tuson
    Directing the Search of Evolutionary and Neighbourhood-Search Optimisers for the Flowshop Sequencing Problem with an Idle-Time Heuristic. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computing, AISB Workshop, 1997, pp:213-226 [Conf]
  8. Hsiao-Lan Fang, Peter Ross, David Corne
    A Promising Hybrid GA/Heuristic Approach for Open-Shop Scheduling Problems. [Citation Graph (0, 0)][DBLP]
    ECAI, 1994, pp:590-594 [Conf]
  9. John Jones, Mark Millington, Peter Ross
    A Blackboard Shell in Prolog. [Citation Graph (0, 0)][DBLP]
    ECAI, 1986, pp:553-561 [Conf]
  10. Peter Ross, Emma Hart, Alistair Lawson, Andrew Webb, Erich Prem, Patrick Poelz, Giovanna Morgavi
    Requirements for Getting a Robot to Grow up. [Citation Graph (0, 0)][DBLP]
    ECAL, 2003, pp:847-856 [Conf]
  11. Andrew Webb, Emma Hart, Peter Ross, Alistair Lawson
    Controlling a Simulated Khepera with an XCS Classifier System with Memory. [Citation Graph (0, 0)][DBLP]
    ECAL, 2003, pp:885-892 [Conf]
  12. Emma Hart, Peter Ross
    A Systematic Investigation of GA Performance on Jop Shop Scheduling Problems. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2000, pp:277-286 [Conf]
  13. Emma Hart, Peter Ross
    Clustering Moving Data With a Modified Immune Algorithm. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2001, pp:394-403 [Conf]
  14. Samer Sa'adah, Peter Ross, Ben Paechter
    Improving Vehicle Routing Using a Customer Waiting Time Colony. [Citation Graph (0, 0)][DBLP]
    EvoCOP, 2004, pp:188-198 [Conf]
  15. Neil Urquhart, Peter Ross, Ben Paechter, Kenneth Chisholm
    Improving Street Based Routing Using Building Block Mutations. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2002, pp:334-342 [Conf]
  16. Neil Urquhart, Peter Ross, Ben Paechter, Kenneth Chisholm
    Routing Using Evolutionary Agents and Proactive Transactions. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2003, pp:696-705 [Conf]
  17. William Joseph Falke II, Peter Ross
    Dynamic Strategies in a Real-Time Strategy Game. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:1920-1921 [Conf]
  18. Emma Hart, Peter Ross
    Enhancing the Performance of a GA through Visualization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:347-354 [Conf]
  19. Emma Hart, Peter Ross
    An Immune System Approach to Scheduling in Changing Environments. [Citation Graph (0, 0)][DBLP]
    GECCO, 1999, pp:1559-1566 [Conf]
  20. Peter Ross, Javier G. Marín-Blázquez, Sonia Schulenburg, Emma Hart
    Learning a Procedure That Can Solve Hard Bin-Packing Problems: A New GA-Based Approach to Hyper-heuristics. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:1295-1306 [Conf]
  21. Peter Ross, Sonia Schulenburg, Javier G. Marín-Blázquez, Emma Hart
    Hyper-heuristics: Learning To Combine Simple Heuristics In Bin-packing Problems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:942-948 [Conf]
  22. Hugo Terashima-Marín, E. J. Flores-Álvarez, Peter Ross
    Hyper-heuristics and classifier systems for solving 2D-regular cutting stock problems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:637-643 [Conf]
  23. Hugo Terashima-Marín, Cláudia J. Farías Zárate, Peter Ross, Manuel Valenzuela-Rendón
    A GA-based method to produce generalized hyper-heuristics for the 2D-regular cutting stock problem. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:591-598 [Conf]
  24. Hugo Terashima-Marín, Cláudia J. Farías Zárate, Peter Ross, Manuel Valenzuela-Rendón
    Two-Phase GA-Based Model to Learn Generalized Hyper-heuristics for the 2D-Cutting Stock Problem. [Citation Graph (0, 0)][DBLP]
    IBERAMIA-SBIA, 2006, pp:198-207 [Conf]
  25. Emma Hart, Peter Ross
    Improving SOSDM: Inspirations from the Danger Theory. [Citation Graph (0, 0)][DBLP]
    ICARIS, 2003, pp:194-203 [Conf]
  26. Emma Hart, Peter Ross
    Studies on the Implications of Shape-Space Models for Idiotypic Networks. [Citation Graph (0, 0)][DBLP]
    ICARIS, 2004, pp:413-426 [Conf]
  27. Emma Hart, Peter Ross, Andrew Webb, Alistair Lawson
    A Role for Immunology in "Next Generation" Robot Controllers. [Citation Graph (0, 0)][DBLP]
    ICARIS, 2003, pp:46-56 [Conf]
  28. Emma Collingwood, David Corne, Peter Ross
    Useful Diversity via Multiploidy. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1996, pp:810-813 [Conf]
  29. Hsiao-Lan Fang, Peter Ross, David Corne
    A Promising Genetic Algorithm Approach to Job-Shop SchedulingRe-Schedulingand Open-Shop Scheduling Problems. [Citation Graph (0, 0)][DBLP]
    ICGA, 1993, pp:375-382 [Conf]
  30. Kazuhiro Kado, Peter Ross, David Corne
    A Study of Genetic Algorithm Hybrids for Facility Layout Problems. [Citation Graph (0, 0)][DBLP]
    ICGA, 1995, pp:498-505 [Conf]
  31. Nancy Mazur, Peter Ross, Gerda Janssens, Maurice Bruynooghe
    Practical Aspects for a Working Compile Time Garbage Collection System for Mercury. [Citation Graph (0, 0)][DBLP]
    ICLP, 2001, pp:105-119 [Conf]
  32. Tim Smithers, David Corne, Peter Ross
    On computing exploration and solving design problems. [Citation Graph (0, 0)][DBLP]
    Formal Design Methods for CAD, 1994, pp:293-313 [Conf]
  33. Sonia Schulenburg, Peter Ross
    An Adaptive Agent Based Economic Model. [Citation Graph (0, 0)][DBLP]
    Learning Classifier Systems, 1999, pp:263-282 [Conf]
  34. Sonia Schulenburg, Peter Ross
    Strength and Money: An LCS Approach to Increasing Returns. [Citation Graph (0, 0)][DBLP]
    IWLCS, 2000, pp:114-137 [Conf]
  35. Sonia Schulenburg, Peter Ross
    Explorations in LCS Models of Stock Trading. [Citation Graph (0, 0)][DBLP]
    IWLCS, 2001, pp:151-180 [Conf]
  36. Peter Ross, David Overton, Zoltan Somogyi
    Making Mercury Programs Tail Recursive. [Citation Graph (0, 0)][DBLP]
    LOPSTR, 1999, pp:196-215 [Conf]
  37. Elena Pérez-Miñana, Peter Ross, John Hallam
    Multi-layer Perceptron Design Using Delaunay Triangulations. [Citation Graph (0, 0)][DBLP]
    IEEE/Nagoya-University World Wisepersons Workshop, 1995, pp:188-197 [Conf]
  38. Peter Ross, David Corne, Hugo Terashima-Marín
    The Phase-Transition Niche for Evolutionary Algorithms in Timetabling. [Citation Graph (0, 0)][DBLP]
    PATAT, 1995, pp:309-324 [Conf]
  39. Peter Ross, Emma Hart, David Corne
    Some Observations about GA-Based Exam Timetabling. [Citation Graph (0, 0)][DBLP]
    PATAT, 1997, pp:115-129 [Conf]
  40. David Corne, Peter Ross
    Peckish Initialisation Strategies for Evolutionary Timetabling. [Citation Graph (0, 0)][DBLP]
    PATAT, 1995, pp:227-240 [Conf]
  41. Emma Hart, Peter Ross
    A Heuristic Combination Method for Solving Job-Shop Scheduling Problems. [Citation Graph (0, 0)][DBLP]
    PPSN, 1998, pp:845-854 [Conf]
  42. Chris Gathercole, Peter Ross
    Dynamic Training Subset Selection for Supervised Learning in Genetic Programming. [Citation Graph (0, 0)][DBLP]
    PPSN, 1994, pp:312-321 [Conf]
  43. Dae Gyu Kim, David Corne, Peter Ross
    Industrial Plant Pipe-Route Optimisation with Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    PPSN, 1996, pp:1012-1021 [Conf]
  44. Peter Ross, David Corne, Hsiao-Lan Fang
    Improving Evolutionary Timetabling with Delta Evaluation and Directed Mutation. [Citation Graph (0, 0)][DBLP]
    PPSN, 1994, pp:556-565 [Conf]
  45. Peter Ross, Emma Hart
    An Adaptive Mutation Scheme for a Penalty-Based Graph-Colouring GA. [Citation Graph (0, 0)][DBLP]
    PPSN, 1998, pp:795-802 [Conf]
  46. Alasdair Turner, David Corne, Graeme Ritchie, Peter Ross
    Obtaining Multiple Distinct Solutions with Genetic Algorithm Niching Methods. [Citation Graph (0, 0)][DBLP]
    PPSN, 1996, pp:451-460 [Conf]
  47. Andrew Tuson, Peter Ross
    Cost Based Operator Rate Adaption: An Investigation. [Citation Graph (0, 0)][DBLP]
    PPSN, 1996, pp:461-469 [Conf]
  48. Neil Urquhart, Peter Ross, Ben Paechter, Kenneth Chisholm
    Solving a Real World Routing Problem Using Multiple Evolutionary Agents. [Citation Graph (0, 0)][DBLP]
    PPSN, 2002, pp:871-882 [Conf]
  49. Tim Smithers, Ming Xi Tang, Peter Ross, Nils Tomes
    Supporting drug design using an incremental learning approach. [Citation Graph (0, 0)][DBLP]
    AI in Engineering, 1993, v:8, n:3, pp:201-216 [Journal]
  50. Nancy Mazur, Peter Ross, Gerda Janssens, Maurice Bruynooghe
    Practical Aspects for a Working Compile Time Garbage Collection System for Mercury [Citation Graph (0, 0)][DBLP]
    CoRR, 2001, v:0, n:, pp:- [Journal]
  51. Emma Hart, Jeremy Nelson, Peter Ross
    Solving a Real-World Problem Using an Evolving Heuristically Driven Schedule Builder. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1998, v:6, n:1, pp:61-80 [Journal]
  52. Andrew Tuson, Peter Ross
    Adapting Operator Settings in Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1998, v:6, n:2, pp:161-184 [Journal]
  53. Emma Hart, Peter Ross
    Exploiting the Analogy between the Immune System and Sparse Distributed Memories. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2003, v:4, n:4, pp:333-358 [Journal]
  54. Emma Hart, Peter Ross, David Corne
    Evolutionary Scheduling: A Review. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2005, v:6, n:2, pp:191-220 [Journal]
  55. Peter Ross
    What Are Genetic Algorithms Good at? [Citation Graph (0, 0)][DBLP]
    INFORMS Journal on Computing, 1997, v:9, n:3, pp:260-262 [Journal]
  56. Peter Ross
    Perspectives in artificial intelligence : J A Campbell and J Cuena Ellis Horwood Ltd. [Citation Graph (0, 0)][DBLP]
    Knowl.-Based Syst., 1990, v:3, n:2, pp:123- [Journal]
  57. Tyson Dowd, Fergus Henderson, Peter Ross
    Compiling Mercury to the .NET Common Language Runtime. [Citation Graph (0, 0)][DBLP]
    Electr. Notes Theor. Comput. Sci., 2001, v:59, n:1, pp:- [Journal]
  58. Emma Hart, Peter Ross
    GAVEL - a new tool for genetic algorithm visualization. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2001, v:5, n:4, pp:335-348 [Journal]
  59. Hugo Terashima-Marín, Cláudia J. Farías Zárate, Peter Ross, Manuel Valenzuela-Rendón
    Comparing two models to generate hyper-heuristics for the 2d-regular bin-packing problem. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:2182-2189 [Conf]
  60. Hugo Terashima-Marín, Armando Moran-Saavedra, Peter Ross
    Forming hyper-heuristics with GAs when solving 2D-regular cutting stock problems. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:1104-1110 [Conf]
  61. Andrew Tuson, Peter Ross, Tim Duncan
    Evolutionary search at the knowledge level. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:1883-1890 [Conf]
  62. Peter Ross, Javier G. Marín-Blázquez
    Constructive hyper-heuristics in class timetabling. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:1493-1500 [Conf]

  63. Hyper-heuristics for the dynamic variable ordering in constraint satisfaction problems. [Citation Graph (, )][DBLP]


  64. A neuro-evolutionary approach to produce general hyper-heuristics for the dynamic variable ordering in hard binary constraint satisfaction problems. [Citation Graph (, )][DBLP]


  65. Problem-state representations in a hyper-heuristic approach for the 2D irregular BPP. [Citation Graph (, )][DBLP]


  66. Using Hyper-heuristics for the Dynamic Variable Ordering in Binary Constraint Satisfaction Problems. [Citation Graph (, )][DBLP]


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