Peter Ross

Gerardo Canfora, Darren Dalcher, David Raffo, Victor R. Basili, Juan Fernández-Ramil, Václav Rajlich, Keith H. Bennett, Liz Burd, Malcolm Munro, Sophia Drossopoulou, Barry W. Boehm, Susan Eisenbach, Greg Michaelson, Darren Dalcher, Peter Ross, Paul Wernick, Dewayne E. Perry: In memory of Manny Lehman, 'Father of Software Evolution'. Journal of Software Maintenance 23(3): 137-144 (2011)

Eunice López-Camacho, Hugo Terashima-Marín, Peter Ross: A hyper-heuristic for solving one and two-dimensional bin packing problems. GECCO (Companion) 2011: 257-258

José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Peter Ross, Santiago Enrique Conant-Pablos: Evolution of neural networks topologies and learning parameters to produce hyper-heuristics for constraint satisfaction problems. GECCO (Companion) 2011: 261-262

Hugo Terashima-Marín, Peter Ross, Cláudia J. Farías Zárate, Eunice López-Camacho, Manuel Valenzuela-Rendón: Generalized hyper-heuristics for solving 2D Regular and Irregular Packing Problems. Annals OR 179(1): 369-392 (2010)

Eunice López-Camacho, Hugo Terashima-Marín, Peter Ross, Manuel Valenzuela-Rendón: Problem-state representations in a hyper-heuristic approach for the 2D irregular BPP. GECCO 2010: 297-298

Eunice López-Camacho, Hugo Terashima-Marín, Peter Ross: Defining a Problem-State Representation with Data Mining within a Hyper-heuristic Model Which Solves 2D Irregular Bin Packing Problems. IBERAMIA 2010: 204-213

José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Peter Ross, Jorge Iván Fuentes-Rosado, Manuel Valenzuela-Rendón: A neuro-evolutionary approach to produce general hyper-heuristics for the dynamic variable ordering in hard binary constraint satisfaction problems. GECCO 2009: 1811-1812

Hugo Terashima-Marín, José Carlos Ortiz-Bayliss, Peter Ross, Manuel Valenzuela-Rendón: Hyper-heuristics for the dynamic variable ordering in constraint satisfaction problems. GECCO 2008: 571-578

Hugo Terashima-Marín, José Carlos Ortiz-Bayliss, Peter Ross, Manuel Valenzuela-Rendón: Using Hyper-heuristics for the Dynamic Variable Ordering in Binary Constraint Satisfaction Problems. MICAI 2008: 407-417

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. GECCO 2007: 2182-2189

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. GECCO 2006: 591-598

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. IBERAMIA-SBIA 2006: 198-207

Emma Hart, Peter Ross, David Corne: Evolutionary Scheduling: A Review. Genetic Programming and Evolvable Machines 6(2): 191-220 (2005)

Hugo Terashima-Marín, Armando Moran-Saavedra, Peter Ross: Forming hyper-heuristics with GAs when solving 2D-regular cutting stock problems. Congress on Evolutionary Computation 2005: 1104-1110

Peter Ross, Javier G. Marín-Blázquez: Constructive hyper-heuristics in class timetabling. Congress on Evolutionary Computation 2005: 1493-1500

Andrew Tuson, Peter Ross, Tim Duncan: Evolutionary search at the knowledge level. Congress on Evolutionary Computation 2005: 1883-1890

Hugo Terashima-Marín, E. J. Flores-Álvarez, Peter Ross: Hyper-heuristics and classifier systems for solving 2D-regular cutting stock problems. GECCO 2005: 637-643

Samer Sa'adah, Peter Ross, Ben Paechter: Improving Vehicle Routing Using a Customer Waiting Time Colony. EvoCOP 2004: 188-198

Emma Hart, Peter Ross: Studies on the Implications of Shape-Space Models for Idiotypic Networks. ICARIS 2004: 413-426

Emma Hart, Peter Ross: Exploiting the Analogy between the Immune System and Sparse Distributed Memories. Genetic Programming and Evolvable Machines 4(4): 333-358 (2003)

Peter Ross, Emma Hart, Alistair Lawson, Andrew Webb, Erich Prem, Patrick Poelz, Giovanna Morgavi: Requirements for Getting a Robot to Grow up. ECAL 2003: 847-856

Andrew Webb, Emma Hart, Peter Ross, Alistair Lawson: Controlling a Simulated Khepera with an XCS Classifier System with Memory. ECAL 2003: 885-892

Neil Urquhart, Peter Ross, Ben Paechter, Kenneth Chisholm: Routing Using Evolutionary Agents and Proactive Transactions. EvoWorkshops 2003: 696-705

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. GECCO 2003: 1295-1306

William Joseph Falke II, Peter Ross: Dynamic Strategies in a Real-Time Strategy Game. GECCO 2003: 1920-1921

Emma Hart, Peter Ross, Andrew Webb, Alistair Lawson: A Role for Immunology in "Next Generation" Robot Controllers. ICARIS 2003: 46-56

Emma Hart, Peter Ross: Improving SOSDM: Inspirations from the Danger Theory. ICARIS 2003: 194-203

Neil Urquhart, Peter Ross, Ben Paechter, Kenneth Chisholm: Improving Street Based Routing Using Building Block Mutations. EvoWorkshops 2002: 334-342

Peter Ross, Sonia Schulenburg, Javier G. Marín-Blázquez, Emma Hart: Hyper-heuristics: Learning To Combine Simple Heuristics In Bin-packing Problems. GECCO 2002: 942-948

Neil Urquhart, Peter Ross, Ben Paechter, Kenneth Chisholm: Solving a Real World Routing Problem Using Multiple Evolutionary Agents. PPSN 2002: 871-882

Tyson Dowd, Fergus Henderson, Peter Ross: Compiling Mercury to the .NET Common Language Runtime. Electr. Notes Theor. Comput. Sci. 59(1): 73-88 (2001)

Emma Hart, Peter Ross: GAVEL - a new tool for genetic algorithm visualization. IEEE Trans. Evolutionary Computation 5(4): 335-348 (2001)

Emma Hart, Peter Ross: Clustering Moving Data With a Modified Immune Algorithm. EvoWorkshops 2001: 394-403

Nancy Mazur, Peter Ross, Gerda Janssens, Maurice Bruynooghe: Practical Aspects for a Working Compile Time Garbage Collection System for Mercury. ICLP 2001: 105-119

Sonia Schulenburg, Peter Ross: Explorations in LCS Models of Stock Trading. IWLCS 2001: 151-180

Nancy Mazur, Peter Ross, Gerda Janssens, Maurice Bruynooghe: Practical Aspects for a Working Compile Time Garbage Collection System for Mercury. CoRR cs.PL/0110037 (2001)

Emma Hart, Peter Ross: A Systematic Investigation of GA Performance on Jop Shop Scheduling Problems. EvoWorkshops 2000: 277-286

Emma Hart, Peter Ross: Enhancing the Performance of a GA through Visualization. GECCO 2000: 347-354

Sonia Schulenburg, Peter Ross: Strength and Money: An LCS Approach to Increasing Returns. IWLCS 2000: 114-137

Emma Hart, Peter Ross: An Immune System Approach to Scheduling in Changing Environments. GECCO 1999: 1559-1566

Sonia Schulenburg, Peter Ross: An Adaptive Agent Based Economic Model. Learning Classifier Systems 1999: 263-282

Peter Ross, David Overton, Zoltan Somogyi: Making Mercury Programs Tail Recursive. LOPSTR 1999: 196-215

Emma Hart, Jeremy Nelson, Peter Ross: Solving a Real-World Problem Using an Evolving Heuristically Driven Schedule Builder. Evolutionary Computation 6(1): 61-80 (1998)

Andrew Tuson, Peter Ross: Adapting Operator Settings in Genetic Algorithms. Evolutionary Computation 6(2): 161-184 (1998)

Peter Ross, Emma Hart: An Adaptive Mutation Scheme for a Penalty-Based Graph-Colouring GA. PPSN 1998: 795-802

Emma Hart, Peter Ross: A Heuristic Combination Method for Solving Job-Shop Scheduling Problems. PPSN 1998: 845-854

Peter Ross: What Are Genetic Algorithms Good at? INFORMS Journal on Computing 9(3): 260-262 (1997)

Peter Ross, Andrew Tuson: Directing the Search of Evolutionary and Neighbourhood-Search Optimisers for the Flowshop Sequencing Problem with an Idle-Time Heuristic. Evolutionary Computing, AISB Workshop 1997: 213-226

Peter Ross, Emma Hart, David Corne: Some Observations about GA-Based Exam Timetabling. PATAT 1997: 115-129

Hsiao-Lan Fang, David Corne, Peter Ross: A Genetic Algorithm for Job-Shop Problems with Various Schedule Quality Criteria. Evolutionary Computing, AISB Workshop 1996: 39-49

David Corne, Emma Collingwood, Peter Ross: Investigating Multipoidy's Niche. Evolutionary Computing, AISB Workshop 1996: 189-197

Andrew Tuson, Peter Ross: Co-evolution of Operator Settings in Genetic Algorithms. Evolutionary Computing, AISB Workshop 1996: 286-296

Emma Collingwood, David Corne, Peter Ross: Useful Diversity via Multiploidy. International Conference on Evolutionary Computation 1996: 810-813

Alasdair Turner, David Corne, Graeme Ritchie, Peter Ross: Obtaining Multiple Distinct Solutions with Genetic Algorithm Niching Methods. PPSN 1996: 451-460

Andrew Tuson, Peter Ross: Cost Based Operator Rate Adaption: An Investigation. PPSN 1996: 461-469

Dae Gyu Kim, David Corne, Peter Ross: Industrial Plant Pipe-Route Optimisation with Genetic Algorithms. PPSN 1996: 1012-1021

Edmund K. Burke, Peter Ross (Eds.): Practice and Theory of Automated Timetabling, First International Conference, Edinburgh, U.K., August 29 - September 1, 1995, Selected Papers. Lecture Notes in Computer Science 1153, Springer 1996, isbn 3-540-61794-9

David Corne, Peter Ross: Some Combinatorial Landscapes on which a Genetic Algorithm Outperforms Other Stochastic Iterative Methods. Evolutionary Computing, AISB Workshop 1995: 1-13

Peter Ross, David Corne: Comparing Genetic Algorithms, Simulated Annealing, and Stochastic Hillclimbing on Timetabling Problems. Evolutionary Computing, AISB Workshop 1995: 94-102

Kazuhiro Kado, Peter Ross, David Corne: A Study of Genetic Algorithm Hybrids for Facility Layout Problems. ICGA 1995: 498-505

Elena Pérez-Miñana, Peter Ross, John Hallam: Multi-layer Perceptron Design Using Delaunay Triangulations. IEEE/Nagoya-University World Wisepersons Workshop 1995: 188-197

David Corne, Peter Ross: Peckish Initialisation Strategies for Evolutionary Timetabling. PATAT 1995: 227-240

Peter Ross, David Corne, Hugo Terashima-Marín: The Phase-Transition Niche for Evolutionary Algorithms in Timetabling. PATAT 1995: 309-324

David Corne, Peter Ross, Hsiao-Lan Fang: Fast Practical Evolutionary Timetabling. Evolutionary Computing, AISB Workshop 1994: 250-263

Hsiao-Lan Fang, Peter Ross, David Corne: A Promising Hybrid GA/Heuristic Approach for Open-Shop Scheduling Problems. ECAI 1994: 590-594

Tim Smithers, David Corne, Peter Ross: On computing exploration and solving design problems. Formal Design Methods for CAD 1994: 293-313

Chris Gathercole, Peter Ross: Dynamic Training Subset Selection for Supervised Learning in Genetic Programming. PPSN 1994: 312-321

Peter Ross, David Corne, Hsiao-Lan Fang: Improving Evolutionary Timetabling with Delta Evaluation and Directed Mutation. PPSN 1994: 556-565

Tim Smithers, Ming Xi Tang, Peter Ross, Nils Tomes: Supporting drug design using an incremental learning approach. AI in Engineering 8(3): 201-216 (1993)

Hsiao-Lan Fang, Peter Ross, David Corne: A Promising Genetic Algorithm Approach to Job-Shop SchedulingRe-Schedulingand Open-Shop Scheduling Problems. ICGA 1993: 375-382

Peter Ross: Perspectives in artificial intelligence : J A Campbell and J Cuena Ellis Horwood Ltd. Knowl.-Based Syst. 3(2): 123 (1990)

Peter Ross: Advanced Prolog: Techniques and Examples. Addison-Wesley 1989, isbn 0-201-17527-4

John Jones, Mark Millington, Peter Ross: A Blackboard Shell in Prolog. ECAI 1986: 553-561