Design of Edinburgh logo. - Peter Ross; Jim Howe (Microprocess. Microsystems, 1984)

A Blackboard Shell in Prolog. - John Jones; Mark Millington; Peter Ross (ECAI, 1986)

Advanced Prolog: Techniques and Examples - Peter Ross (Addison-Wesley, 1989)

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

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

Supporting drug design using an incremental learning approach. - Tim Smithers; Ming Xi Tang; Peter Ross; Nils Tomes (Artif. Intell. Eng., 1993)

Fast Practical Evolutionary Timetabling. - David Corne; Peter Ross; Hsiao-Lan Fang (Evolutionary Computing, AISB Workshop, 1994)

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

On computing exploration and solving design problems. - Tim Smithers; David Corne; Peter Ross (Formal Design Methods for CAD, 1994)

Dynamic Training Subset Selection for Supervised Learning in Genetic Programming. - Chris Gathercole; Peter Ross (PPSN, 1994)

Improving Evolutionary Timetabling with Delta Evaluation and Directed Mutation. - Peter Ross; David Corne; Hsiao-Lan Fang (PPSN, 1994)

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

Comparing Genetic Algorithms, Simulated Annealing, and Stochastic Hillclimbing on Timetabling Problems. - Peter Ross; David Corne (Evolutionary Computing, AISB Workshop, 1995)

A Study of Genetic Algorithm Hybrids for Facility Layout Problems. - Kazuhiro Kado; Peter Ross; David Corne (ICGA, 1995)

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

Peckish Initialisation Strategies for Evolutionary Timetabling. - David Corne; Peter Ross (PATAT, 1995)

The Phase-Transition Niche for Evolutionary Algorithms in Timetabling. - Peter Ross; David Corne; Hugo Terashima-Marín (PATAT, 1995)

Investigating Multipoidy's Niche. - David Corne; Emma Collingwood; Peter Ross (Evolutionary Computing, AISB Workshop, 1996)

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

Co-evolution of Operator Settings in Genetic Algorithms. - Andrew Tuson; Peter Ross (Evolutionary Computing, AISB Workshop, 1996)

Useful Diversity via Multiploidy. - Emma Collingwood; David Corne; Peter Ross (International Conference on Evolutionary Computation, 1996)

Industrial Plant Pipe-Route Optimisation with Genetic Algorithms. - Dae Gyu Kim; David Corne; Peter Ross (PPSN, 1996)

Obtaining Multiple Distinct Solutions with Genetic Algorithm Niching Methods. - Alasdair Turner; David Corne; Graeme Ritchie; Peter Ross (PPSN, 1996)

Cost Based Operator Rate Adaption: An Investigation. - Andrew Tuson; Peter Ross (PPSN, 1996)

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

An Evolutionary/Meta-Heuristic Approach to Emergency Resource Redistribution in the Developing World. - Andrew Tuson; Richard Wheeler; Peter Ross (ICANNGA, 1997)

Some Observations about GA-Based Exam Timetabling. - Peter Ross; Emma Hart; David Corne (PATAT, 1997)

What Are Genetic Algorithms Good at? - Peter Ross (INFORMS J. Comput., 1997)

A Heuristic Combination Method for Solving Job-Shop Scheduling Problems. - Emma Hart; Peter Ross (PPSN, 1998)

An Adaptive Mutation Scheme for a Penalty-Based Graph-Colouring GA. - Peter Ross; Emma Hart (PPSN, 1998)

Solving a Real-World Problem Using an Evolving Heuristically Driven Schedule Builder. - Emma Hart; Jeremy A. D. Nelson; Peter Ross (Evol. Comput., 1998)

Adapting Operator Settings in Genetic Algorithms. - Andrew Tuson; Peter Ross (Evol. Comput., 1998)

Application of the hardness theory when solving the timetabling problem with genetic algorithms. - Hugo Terashima-Marín; Peter Ross; Manuel Valenzuela-Rendón (CEC, 1999)

Clique-based crossover for solving the timetabling problem with GAs. - Hugo Terashima-Marín; Peter Ross; Manuel Valenzuela-Rendón (CEC, 1999)

An Immune System Approach to Scheduling in Changing Environments. - Emma Hart; Peter Ross (GECCO, 1999)

An Adaptive Agent Based Economic Model. - Sonia Schulenburg; Peter Ross (Learning Classifier Systems, 1999)

Making Mercury Programs Tail Recursive. - Peter Ross; David Overton; Zoltan Somogyi (LOPSTR, 1999)

Scheduling chicken catching ‐ An investigationinto the success of a genetic algorithm on areal‐world scheduling problem. - Emma Hart; Peter Ross; Jeremy A. D. Nelson (Ann. Oper. Res., 1999)

A Systematic Investigation of GA Performance on Jop Shop Scheduling Problems. - Emma Hart; Peter Ross (EvoWorkshops, 2000)

Enhancing the Performance of a GA through Visualization. - Emma Hart; Peter Ross (GECCO, 2000)

Strength and Money: An LCS Approach to Increasing Returns. - Sonia Schulenburg; Peter Ross (IWLCS, 2000)

Clustering Moving Data With a Modified Immune Algorithm. - Emma Hart; Peter Ross (EvoWorkshops, 2001)

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

Explorations in LCS Models of Stock Trading. - Sonia Schulenburg; Peter Ross (IWLCS, 2001)

Compiling Mercury to the .NET Common Language Runtime. - Tyson Dowd; Fergus Henderson; Peter Ross (BABEL, 2001)

GAVEL - a new tool for genetic algorithm visualization. - Emma Hart; Peter Ross (IEEE Trans. Evol. Comput., 2001)

Improving Street Based Routing Using Building Block Mutations. - Neil Urquhart; Peter Ross; Ben Paechter; Kenneth Chisholm (EvoWorkshops, 2002)

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

Solving a Real World Routing Problem Using Multiple Evolutionary Agents. - Neil Urquhart; Peter Ross; Ben Paechter; Kenneth Chisholm (PPSN, 2002)

Hyper-Heuristics: An Emerging Direction in Modern Search Technology. - Edmund K. Burke; Graham Kendall; Jim Newall; Emma Hart; Peter Ross; Sonia Schulenburg (Handbook of Metaheuristics, 2003)

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

Controlling a Simulated Khepera with an XCS Classifier System with Memory. - Andrew Webb; Emma Hart; Peter Ross; Alistair Lawson (ECAL, 2003)

Routing Using Evolutionary Agents and Proactive Transactions. - Neil Urquhart; Peter Ross; Ben Paechter; Kenneth Chisholm (EvoWorkshops, 2003)

Dynamic Strategies in a Real-Time Strategy Game. - William Joseph Falke II; Peter Ross (GECCO, 2003)

Learning a Procedure That Can Solve Hard Bin-Packing Problems: A New GA-Based Approach to Hyper-heuristics. - Peter Ross; Javier G. Marín-Blázquez; Sonia Schulenburg; Emma Hart (GECCO, 2003)

Improving SOSDM: Inspirations from the Danger Theory. - Emma Hart; Peter Ross (ICARIS, 2003)

A Role for Immunology in "Next Generation" Robot Controllers. - Emma Hart; Peter Ross; Andrew Webb; Alistair Lawson (ICARIS, 2003)

Exploiting the Analogy between the Immune System and Sparse Distributed Memories. - Emma Hart; Peter Ross (Genet. Program. Evolvable Mach., 2003)

Hyper-heuristics applied to class and exam timetabling problems. - Peter Ross; Javier G. Marín-Blázquez; Emma Hart (IEEE Congress on Evolutionary Computation, 2004)

Improving Vehicle Routing Using a Customer Waiting Time Colony. - Samer Sa'adah; Peter Ross; Ben Paechter (EvoCOP, 2004)

Studies on the Implications of Shape-Space Models for Idiotypic Networks. - Emma Hart; Peter Ross (ICARIS, 2004)

Constructive hyper-heuristics in class timetabling. - Peter Ross; Javier G. Marín-Blázquez (Congress on Evolutionary Computation, 2005)

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

Evolutionary search at the knowledge level. - Andrew Tuson; Peter Ross; Tim Duncan (Congress on Evolutionary Computation, 2005)

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

Evolutionary Scheduling: A Review. - Emma Hart; Peter Ross; David Corne (Genet. Program. Evolvable Mach., 2005)

The Impact of the Shape of Antibody Recognition Regions on the Emergence of Idiotypic Networks. - Emma Hart; Peter Ross (Int. J. Unconv. Comput., 2005)

A GA-based method to produce generalized hyper-heuristics for the 2D-regular cutting stock problem. - Hugo Terashima-Marín; Cláudia J. Farías Zárate; Peter Ross; Manuel Valenzuela-Rendón (GECCO, 2006)

Two-Phase GA-Based Model to Learn Generalized Hyper-heuristics for the 2D-Cutting Stock Problem. - Hugo Terashima-Marín; Cláudia J. Farías Zárate; Peter Ross; Manuel Valenzuela-Rendón (IBERAMIA-SBIA, 2006)

Comparing two models to generate hyper-heuristics for the 2d-regular bin-packing problem. - Hugo Terashima-Marín; Cláudia J. Farías Zárate; Peter Ross; Manuel Valenzuela-Rendón (GECCO, 2007)

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

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

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

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

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

Generalized hyper-heuristics for solving 2D Regular and Irregular Packing Problems. - Hugo Terashima-Marín; Peter Ross; Cláudia J. Farías Zárate; Eunice López-Camacho; Manuel Valenzuela-Rendón (Ann. Oper. Res., 2010)

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

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

In memory of Manny Lehman, 'Father of Software Evolution'. - 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; et al. (J. Softw. Maintenance Res. Pract., 2011)

A unified hyper-heuristic framework for solving bin packing problems. - Eunice López-Camacho; Hugo Terashima-Marín; Peter Ross; Gabriela Ochoa (Expert Syst. Appl., 2014)

High fidelity simulation using the updated distributed interactive simulation standard. - Peter John Ryan; Peter Ross; William Oliver (Int. J. Intell. Def. Support Syst., 2014)

Review of 1 The Discrete Mathematical Charms of Paul Erdos A Simple Introduction by Vasek Chvatal. - Peter Ross (SIGACT News, 2023)