Conor Ryan

Conor Ryan (2017) A rebuttal to Whigham, Dick, and Maclaurin by one of the inventors of Grammatical Evolution. Genetic Programming And Evolvable Machines

Azad, RMA,Ryan, C (2014) A Simple Approach to Lifetime Learning in Genetic Programming-Based Symbolic Regression. Evolutionary Computation

Patten, J. and Ryan, C. (2012) EVO-CBG-An Evolutionary System for Automatically Generating Character Behaviours for Game Environments. Convergence and Hybrid Information Technology :211-216

Ryan, C. and Brown, K.N. (2012) Occupant Location Prediction Using Association Rule Mining. Workshop on AI Problems and Approaches for Intelligent Environments :27-

Karim, M.R. and Ryan, C. (2012) Attributed Grammatical Evolution with Lookahead for the Multiple Knapsack Problem. Memetic Computing :1-24

Karim, MR,Ryan, C (2012) Attributed Grammatical Evolution with Lookahead for the Multiple Knapsack Problem. Memetic Computing :279-302

Karim, M. and Ryan, C. (2012) Degeneracy reduction or duplicate elimination? an analysis on the performance of attributed grammatical evolution with lookahead to solve the multiple knapsack problem. Nature Inspired Cooperative Strategies for Optimization (NICSO 2011) :247-266

Howard, D. and Ryan, C. (2012) Testing a Novel Attribute Grammar Genetic Programming Algorithm. Convergence and Hybrid Information Technology :224-231

Howard, D. and Ryan, C. and Collins, J. (2011) Attribute grammar genetic programming algorithm for automatic code parallelization. Convergence and Hybrid Information Technology :250-257

Fitzgerald, J. and Ryan, C. (2011) Validation Sets, Genetic Programming and Generalisation. Research and Development in Intelligent Systems XXVIII: Incorporating Applications and Innovations in Intelligent Systems XIX Proceedings of AI-2011, the Thirty-first SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence :79-

Ryan, C. and Collins, J. and Howard, D. (2011) Optimizing for change through shades. Convergence and Hybrid Information Technology :266-273

Sheahan, A. and Ryan, C. (2011) Graph metrics for predicting speedup in static multiprocessor scheduling. Convergence and Hybrid Information Technology :391-398

Karim, M. and Ryan, C. (2011) A simple improvement heuristic for attributed grammatical evolution with lookahead to solve the multiple knapsack problem. Convergence and Hybrid Information Technology :274-281

Mady, A.E.D. and Provan, G.M. and Ryan, C. and Brown, K.N. (2011) Stochastic Model Predictive Controller for the Integration of Building Use and Temperature Regulation. Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence :1371-1376

Raja, A. and Azad, R.M.A. and Flanagan, C. and Ryan, C. (2011) Evolutionary speech quality estimation in VoIP. Soft Computing-A Fusion of Foundations, Methodologies and Applications :89-94

Sullivan, J. and Ryan, C. (2011) A destructive evolutionary algorithm process. Soft Computing-A Fusion of Foundations, Methodologies and Applications :95-102

Karim, M. and Ryan, C. (2011) A new approach to solving 0-1 multiconstraint knapsack problems using attribute grammar with lookahead. Genetic Programming :250-261

Raja, A; Azad, RMA; Flanagan, C; Ryan, C (2011) Evolutionary speech quality estimation in VoIP. Soft Computing :89-94

Sullivan, J; Ryan, C (2011) A destructive evolutionary algorithm process. Soft Computing :95-102

Fitzgerald, J. and Ryan, C. (2011) Validation sets for evolutionary curtailment with improved generalisation. Convergence and Hybrid Information Technology :282-289

Mady, A. and Boubekeur, M. and Provan, G. and Ryan, C. and Brown, K. (2010) Intelligent Hybrid Control Model for Lighting Systems Using Constraint-Based Optimisation. Soft Computing Models in Industrial and Environmental Applications, 5th International Workshop (SOCO 2010) :249-259

Larkin, F. and Ryan, C. (2010) Modesty is the best policy: automatic discovery of viable forecasting goals in financial data. Applications of Evolutionary Computation :202-211

DJurovi'c (2010) UPUTSTVO AUTORIMA. Ð'ОЈНОСАНИТÐ'ТСКИ ПРÐ'Ð'ЛÐ'Ð' :791-

Costelloe, D. and Ryan, C. (2009) On improving generalisation in genetic programming. Genetic Programming :61-72

Ryan, C. (2009) BLUE SCHOOL THINKING-Many of the Tories' proposals for education are extensions of Labour policies, argues Conor Ryan. But there are a few radical differences and some, like the approach to free schools, could end in tears. Public Finance :20-

Ryan, C. (2009) OPINION-Conor Ryan says central government is the starting place for localism. Public Finance :5-

Reid, M; Punch, J; Collins, M; Ryan, C (2008) Effect of Ag content on the microstructure of Sn-Ag-Cu based solder alloys. Soldering & Surface Mount Technology :3-8

Murphy, G. and Ryan, C. (2008) Exploiting the path of least resistance in evolution. Proceedings of the 10th annual conference on Genetic and evolutionary computation :1251-1258

Murphy, G. and Ryan, C. (2008) A simple powerful constraint for genetic programming. Genetic Programming :146-157

Howard, D. and Roberts, S.C. and Ryan, C. and Brezulianu, A. (2008) Textural Classification of Mammographic Parenchymal Patterns with the SONNET Selforganizing Neural Network. Journal of Biomedicine and Biotechnology

Larkin, F. and Ryan, C. (2008) Good news: using news feeds with genetic programming to predict stock prices. Genetic Programming :49-60

Raja, A. and Azad, R. and Flanagan, C. and Ryan, C. (2008) A methodology for deriving VoIP equipment impairment factors for a mixed NB/WB context. Multimedia, IEEE Transactions on :1046-1058

Tatebe, K. and Wishnow, EH and Ryan, CS and Hale, DDS and Griffith, RL and Townes, CH (2008) The Evolving Shapes of o Ceti and R Leonis. The Astrophysical Journal :1289-

Murphy, G. and Ryan, C. (2008) Manipulation of convergence in evolutionary systems. Genetic Programming Theory and Practice V :33-52

Raja, A; Azad, RMA; Flanagan, C; Ryan, C (2008) A Methodology for Deriving VoIP Equipment Impairment Factors for a Mixed NB/WB Context. Ieee Transactions On Multimedia :1046-1058

Howard, D; Roberts, SC; Ryan, C; Brezulianu, A (2008) Textural classification of mammographic parenchymal patterns with the SONNET selforganizing neural network. Journal Of Biomedicine And Biotechnology

Reid, M; Punch, J; Ryan, C; Franey, J; Derkits, GE; Reents, WD; Garfias, LF (2007) The corrosion of electronic resistors. Ieee Transactions On Components And Packaging Technologies :666-672

Raja, A. and Azad, R. and Flanagan, C. and Ryan, C. (2007) Real-time, non-intrusive evaluation of VoIP. Genetic Programming :217-228

Majeed, H. and Ryan, C. (2007) A re-examination of a real world blood flow modeling problem using context-aware crossover. Genetic Programming Theory and Practice IV :279-298

Reid, M; Punch, J; Ryan, C; Garfias, LF; Belochapkine, S; Franey, JP; Derkits, GE; Reents, WD (2007) Microstructural development of copper sulfide on copper exposed to humid H2S. Journal Of The Electrochemical Society :C209-C214

Costelloe, D. and Ryan, C. (2007) Towards models of user preferences in interactive musical evolution. Genetic And Evolutionary Computation Conference: Proceedings of the 9 th annual conference on Genetic and evolutionary computation :2254-2254

Howard, D; Roberts, SC; Ryan, C (2006) Pragmatic Genetic Programming strategy for the problem of vehicle detection in airborne reconnaissance. Pattern Recognition Letters :1275-1288

Majeed, H. and Ryan, C. (2006) A less destructive, context-aware crossover operator for GP. Genetic Programming :36-48

Howard, D. and Roberts, S.C. and Ryan, C. (2006) Pragmatic genetic programming strategy for the problem of vehicle detection in airborne reconnaissance. Pattern Recognition Letters :1275-1288

Majeed, H; Ryan, C (2006) A less destructive, context-aware crossover operator for GP. Genetic Programming, Proceedings :36-48

Azad, R. and Ryan, C. (2006) An examination of simultaneous evolution of grammars and solutions. Genetic Programming Theory and Practice III :141-158

Nicolau, M. and Ryan, C. (2006) Solving sudoku with the GAuGE system. Genetic Programming :213-224

Nicolau, M; Ryan, C (2006) Solving Sudoku with the GAuGE system. Genetic Programming, Proceedings :213-224

Stephens, C. and Nicolau, M. and Ryan, C. (2005) Zero is not a four letter word: studies in the evolution of language. Genetic Programming :143-143

Stephens, C; Nicolau, M; Ryan, C (2005) Zero is not a four letter word: Studies in the evolution of language. Genetic Programming, Proceedings :371-380

Keijzer, M; Ryan, C; Murphy, G; Cattolico, M (2005) Undirected training of run transferable libraries. Genetic Programming, Proceedings :361-370

Ryan, C. and Keijzer, M. and Cattolico, M. (2005) Favourable biasing of function sets using run transferable libraries. Genetic Programming Theory and Practice II :103-120

Keijzer, M. and Ryan, C. and Murphy, G. and Cattolico, M. (2005) Undirected training of run transferable libraries. Genetic Programming :142-142

O'Neill, M; Ryan, C (2004) Grammatical evolution by grammatical evolution: The evolution of grammar and genetic code. Genetic Programming, Proceedings :138-149

Nicolau, M; Ryan, C (2004) Efficient crossover in the GAuGE system. Genetic Programming, Proceedings :125-137

Azad, RMA; Ansari, AR; Ryan, C; Walsh, M; McGloughlin, T (2004) An evolutionary approach to Wall Shear Stress prediction in a grafted artery. Applied Soft Computing :139-148

Nicolau, M; Auger, A; Ryan, C (2004) Functional dependency and degeneracy: Detailed analysis of the GAuGE system. Artificial Evolution :15-26

Muhammad Atif Azad, R. and Ansari, A.R. and Ryan, C. and Walsh, M. and McGloughlin, T. (2004) An evolutionary approach to wall shear stress prediction in a grafted artery. Applied Soft Computing :139-148

Nicolau, M. and Ryan, C. (2004) Crossover, Population Dynamics, and Convergence in the GAuGE System. Genetic and Evolutionary Computation--GECCO 2004 :1414-1425

Nicolau, M. and Ryan, C. (2004) Efficient crossover in the GAuGE system. Genetic Programming :125-137

Costelloe, D. and Ryan, C. (2004) Genetic programming for subjective fitness function identification. Genetic Programming :259-268

Ryan, C. and Majeed, H. and Azad, A. (2004) A competitive building block hypothesis. Genetic and Evolutionary Computation--GECCO 2004 :654-665

Ryan, E. and Azad, R. and Ryan, C. (2004) On the performance of genetic operators and the random key representation. Genetic Programming :162-173

O’Neill, M. and Ryan, C. (2004) Grammatical evolution by grammatical evolution: The evolution of grammar and genetic code. Genetic Programming :138-149

Costelloe, D; Ryan, C (2004) Genetic programming for subjective fitness function identification. Genetic Programming, Proceedings :259-268

Nicolau, M; Ryan, C (2004) Crossover, population dynamics, and convergence in the GAuGE system. Genetic And Evolutionary Computation - Gecco 2004, Pt 1, Proceedings :1414-1425

Keijzer, M. and Ryan, C. and Cattolico, M. (2004) Run transferable librariesâ€'learning functional bias in problem domains. Genetic and Evolutionary Computation--GECCO 2004 :531-542

Nicolau, M. and Auger, A. and Ryan, C. (2004) Functional dependency and degeneracy: detailed analysis of the GAuGE system. Artificial Evolution :15-26

Keijzer, M; Ryan, C; Cattolico, M (2004) Run transferable libraries - Learning functional bias in problem domains. Genetic And Evolutionary Computation Gecco 2004 , Pt 2, Proceedings :531-542

Ryan, C; Majeed, H; Azad, A (2004) A competitive building block hypothesis. Genetic And Evolutionary Computation Gecco 2004 , Pt 2, Proceedings :654-665

Ryan, E; Azad, RMA; Ryan, C (2004) On the performance of genetic operators and the random key representation. Genetic Programming, Proceedings :162-173

Ryan, C; Azad, RMA (2003) Sensible initialisation in chorus. Genetic Programming, Proceedings :394-403

Ryan, C. and Nicolau, M. (2003) Doing genetic algorithms the genetic programming way. GENETIC PROGRAMMING SERIES :189-204

Nicolau, M. and Ryan, C. (2003) How functional dependency adapts to salience hierarchy in the GAuGE system. Genetic Programming :213-224

Ryan, C. and Keijzer, M. and Nicolau, M. (2003) On the avoidance of fruitless wraps in grammatical evolution. Genetic and Evolutionary Computationâ€'GECCO 2003 :210-210

Ryan, C. and Collins, J. and Wallin, D. (2003) Non-stationary function optimization using polygenic inheritance. Genetic and Evolutionary Computationâ€'GECCO 2003 :212-212

Ryan, C; Keijzer, M; Nicolau, M (2003) On the avoidance of fruitless wraps in Grammatical Evolution. Genetic And Evolutionary Computation - Gecco 2003, Pt Ii, Proceedings :1752-1763

Azad, RMA; Ryan, C (2003) Structural emergence with order independent representations. Genetic And Evolutionary Computation - Gecco 2003, Pt Ii, Proceedings :1626-1638

Ryan, C. and Keijzer, M. (2003) An analysis of diversity of constants of genetic programming. Genetic Programming :404-413

Ryan, C; Collins, JJ; Wallin, D (2003) Non-stationary function optimization using polygenic inheritance. Genetic And Evolutionary Computation - Gecco 2003, Pt Ii, Proceedings :1320-1331

O'Neill, M; Dempsey, I; Brabazon, A; Ryan, C (2003) Analysis of a digit concatenation approach to constant creation. Genetic Programming, Proceedings :173-182

O'neill, M. and Ryan, C. and Keijzer, M. and Cattolico, M. (2003) Crossover in grammatical evolution. Genetic Programming and Evolvable Machines :67-93

Ryan C., Collins J.J., Wallin D. (2003) Non-stationary function optimization using polygenic inheritance. Lecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics) :1320-1331

Nicolau, M; Ryan, C (2003) How functional dependency adapts to salience hierarchy in the GAuGE system. Genetic Programming, Proceedings :153-163

Azad, R. and Ryan, C. (2003) Structural emergence with order independent representations. Genetic and Evolutionary Computationâ€'GECCO 2003 :209-209

Ryan, C; Keijzer, M (2003) An analysis of diversity of constants of genetic programming. Genetic Programming, Proceedings :404-413

Ryan, C. and Azad, R. (2003) Sensible initialisation in Chorus. Genetic Programming :165-180

O’Neill, M. and Dempsey, I. and Brabazon, A. and Ryan, C. (2003) Analysis of a digit concatenation approach to constant creation. Genetic Programming :361-393

Keijzer, M. and O’Neill, M. and Ryan, C. and Cattolico, M. (2002) Grammatical evolution rules: The mod and the bucket rule. Genetic Programming :123-130

O’Sullivan, J. and Ryan, C. (2002) An investigation into the use of different search strategies with grammatical evolution. Genetic Programming :268-277

Howard, D. and Roberts, S. and Ryan, C. (2002) The boru data crawler for object detection tasks in machine vision. Applications of Evolutionary Computing :219-224

O'Neill, M. and Brabazon, A. and Ryan, C. (2002) Forecasting market indices using evolutionary automatic programming. Genetic Algoritms and Genetic Programming in Computational Finance :175-195

Nicolau, M. and Ryan, C. (2002) LINKGAUGE: Tackling hard deceptive problems with a new linkage learning genetic algorithm. Proceedings of the Genetic and Evolutionary Computation Conference :488-494

Azad, R.M.A. and Ryan, C. and Burke, M.E. and Ansari, A.R. (2002) A re-examination of the Cart Centering problem using the Chorus system. Proceedings of the Genetic and Evolutionary Computation Conference :707-715

Ryan, C. and Nicolau, M. and O’Neill, M. (2002) Genetic algorithms using grammatical evolution. Genetic Programming :1-4

Ryan, C. and Azad, A. and Sheahan, A. and O’Neill, M. (2002) No coercion and no prohibition, a position independent encoding scheme for evolutionary algorithms--the chorus system. Genetic Programming :53-63

Brabazon, A. and O’Neill, M. and Ryan, C. and Matthews, R. (2002) Evolving classifiers to model the relationship between strategy and corporate performance using grammatical evolution. Genetic Programming :90-103

Brabazon, A. and O’Neill, M. and Matthews, R. and Ryan, C. (2002) Grammatical evolution and corporate failure prediction. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2002) :9-13

Howard, D. and Roberts, S.C. and Ryan, C. (2002) Machine vision: exploring context with genetic programming. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO’02) :756-763

Howard, D; Roberts, SC; Ryan, C (2002) The boru data crawler for object detection tasks in machine vision. Applications Of Evolutionary Computing, Proceedings :222-232

Altenberg, L. and Hemmi, H. and Pelikan, M. and Bollig, B. and Iba, H. and Punch, B. and Paz, E.C. and Jacob, C. and Reynolds, R. and Conrads, M. and others (2002) The following reviewers have helped us to judge papers and reviews submitted for Volume 3 of Genetic Programming and Evolvable Machines. Genetic Programming and Evolvable Machines :327-

O'Neill, M; Ryan, C (2001) Grammatical evolution. Ieee Transactions On Evolutionary Computation :349-358

Ryan, C. and O’Neill, M. and Azad, A. (2001) No coercion and no prohibitionâ€'A position independent encoding scheme for evolutionary algorithms. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), ed. by L. Spector, ED Goodman, A. Wu, WB Langdon, HM Voigt, M. Gen, S. Sen, M. Dorigo, S. Pezeshk, MH Garzon, E. Burke (Morgan Kaufmann, San Francisco, 2001) :187-

Keijzer, M; Ryan, C; O'Neill, M; Cattolico, M; Babovic, V (2001) Ripple crossover in genetic programming. Genetic Programming, Proceedings :74-86

O’Neill, M. and Brabazon, T. and Ryan, C. and Collins, JJ (2001) Developing a market timing system using grammatical evolution. Proceedings of GECCO :1375-1381

O’Neill, M. and Brabazon, A. and Ryan, C. and Collins, J. (2001) Evolving market index trading rules using grammatical evolution. Applications of evolutionary computing :343-352

O'Neill, M; Ryan, C; Keijzer, M; Cattolico, M (2001) Crossover in grammatical evolution: The search continues. Genetic Programming, Proceedings :337-347

Ryan, C. (2001) The role of the security professional is evolving from a back-office support function to one that's strategically tied to the entire company. Chuck Ryan typifies the IT pro needed in this new role. Computerworld-Marion :69-75

Warrington, G; Ryan, C; Murray, F; Duffy, P; Kirwan, JP (2001) Physiological and metabolic characteristics of elite tug of war athletes. British Journal Of Sports Medicine :396-401

Keijzer, M. and Ryan, C. and O’Neill, M. and Cattolico, M. and Babovic, V. (2001) Ripple crossover in genetic programming. Genetic Programming :74-86

O’Neill, M. and Ryan, C. and Nicolau, M. (2001) Grammar defined introns: An investigation into grammars, introns, and bias in grammatical evolution. Proceedings of the 228 LITERATURVERZEICHNIS Genetic and Evolutionary Computation Conference, GECCO 2001 :97-103

O'Neill, M. and Ryan, C. (2001) Grammatical evolution. Evolutionary Computation, IEEE Transactions on :349-358

Bennett, FH and Brameier, M. and Cagnoni, S. and Chen, S. and Davila, J. and Dittrich, P. and Eiben, G. and Ezawa, K. and Fogel, D. and Francone, F. and others (2001) The following reviewers have helped us to judge papers and reviews submitted for Volume 2 of Genetic Programming and Evolvable Machines. Genetic Programming and Evolvable Machines :315-

Keijzer, M. and Babovic, V. and Ryan, C. and O’Neill, M. and Cattolico, M. (2001) Adaptive logic programming. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001) :42-49

O’Neill, M. and Ryan, C. and Keijzer, M. and Cattolico, M. (2001) Crossover in grammatical evolution: The search continues. Genetic Programming :337-347

O'Neill, M; Brabazon, A; Ryan, C; Collins, JJ (2001) Evolving market index trading rules using Grammatical evolution. Applications Of Evolutionary Computing, Proceedings :343-352

Ryan, C; Ivan, L (2000) Paragen - The first results. Genetic Programming, Proceedings :338-348

Ryan, C. (2000) Paragen II. Automatic Re-engineering of Software Using Genetic Programming :103-130

O'Neill, M. and Ryan, C. (2000) Crossover in grammatical evolution: A smooth operator?. Lecture Notes in Computer Science :149-162

Ryan, C. (2000) Multi-Objective Problems. Automatic Re-engineering of Software Using Genetic Programming :31-64

Ryan, C. (2000) Software Re-Engineering. Automatic Re-engineering of Software Using Genetic Programming :17-30

O’Neill, M. and Ryan, C. (2000) Grammar based function definition in grammatical evolution. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000) :485-490

Ryan, C. (2000) Paragen I. Automatic Re-engineering of Software Using Genetic Programming :65-80

O’Neill, M. and Ryan, C. (2000) Incorporating gene expression models into evolutionary algorithms. DNA :3-

Ryan, C. (2000) Book review: Genetic programming 3: Darwinian invention and problem solving. Genetic Programming and Evolvable Machines :379-381

Ryan, C. (2000) Practical Considerations. Automatic Re-engineering of Software Using Genetic Programming :81-101

Ryan, C. and Ivan, L. (2000) Paragen--the first results. Genetic Programming :338-348

O'Neill, M; Ryan, C (2000) Crossover in grammatical evolution: A smooth operator?. Genetic Programming, Proceedings :149-162

Banzhaf, W. and Koza, JR and Ryan, C. and Spector, L. and Jacob, C. (2000) Genetic programming. Intelligent Systems and their Applications, IEEE :74-84

Ryan, C. (2000) Genetic programming. Automatic Re-engineering of Software Using Genetic Programming :5-15

O’Neill, M. and Ryan, C. (1999) Under the hood of grammatical evolution. Proceedings of the Genetic and Evolutionary Computation Conference :1143-1148

Ryan, C. and Ivan, L. (1999) An automatic software re-engineering tool based on genetic programming. Advances in genetic programming :15-39

O'Neill, M. and Ryan, C. (1999) Automatic generation of high level functions using evolutionary algorithms. Proceedings of the First International Workshop on Soft Computing Applied to Software Engineering :21-29

Ryan, C; Ivan, L (1999) Automatic parallelization of arbitrary programs. Genetic Programming :244-254

O’Neill, M. and Ryan, C. (1999) Evolving multi-line compilable C programs. Genetic Programming :651-651

O'Neill, M; Ryan, C (1999) Evolving multi-line compilable C programs. Genetic Programming :83-92

O'Neill, M; Ryan, C (1999) Genetic code degeneracy: Implications for grammatical evolution and beyond. Advances In Artificial Life, Proceedings :149-153

O’Neill, M. and Ryan, C. (1999) Automatic generation of caching algorithms. Evolutionary Algorithms in Engineering and Computer Science :127-134

O'Neill, M. and Ryan, C. (1999) Automatic Generation of Programs with Grammatical Evolution. Proceedings of AICS :72-78

Ryan, C. and Ivan, L. (1999) Automatic parallelization of arbitrary programs. Genetic Programming :651-651

O’Neill, M. and Ryan, C. (1999) Genetic code degeneracy: Implications for grammatical evolution and beyond. Advances in Artificial Life :149-153

Collins, JJ and Ryan, C. (1999) Non-stationary Function Optimization using Polygenic Inheritance. GECCO :781-

Ryan, C. and Ivan, L. (1998) Automatic parallelization of loops in sequential programs using genetic programming. Genetic Programming 1998: Proceedings of the Third Annual Conference :344-349

Ryan, C. and Ivan, L. (1998) Automatic Discovery of Loop Transformations for Autoparallelisation. COGNITIVE SCIENCE RESEARCH PAPERS-UNIVERSITY OF BIRMINGHAM CSRP :17-20

Walsh, P. and Ryan, C. (1998) Automatic parallelization for distributed memory machines using genetic programming. Advances in Parallel Computing :297-300

Ryan, C. and O’Neill, M. (1998) Grammatical evolution: A steady state approach. Late Breaking Papers, Genetic Programming :180-185

Ryan, C. and O’Neill, M. and Collins, JJ (1998) Grammatical evolution: solving trigonometric identities. proceedings of Mendel :4th-

Ryan, C. and Collins, JJ and Neill, M. (1998) Grammatical evolution: Evolving programs for an arbitrary language. Genetic Programming :83-96

Ryan, C. and Collins, J. (1998) Polygenic inheritanceâ€'A haploid scheme that can outperform diploidy. Parallel Problem Solving from Natureâ€'PPSN V :178-187

Ryan, C; Collins, JJ (1998) Polygenic inheritance - A haploid scheme that can outperform diploidy. Parallel Problem Solving From Nature - Ppsn V :178-187

Ryan, C. (1997) Diploidy without dominance. Third Nordic Workshop on Genetic Algorithms :63-70

Ryan, C. and Walsh, P. (1997) Paragen II: evolving parallel transformation rules. Computational Intelligence Theory and Applications :573-573

Ryan, C. and Walsh, P. (1997) The evolution of provable parallel programs. Genetic Programming :295-302

O’Neill, M. and Ryan, C. (1996) Automatic Generation of Programs that Outperform Human Designed Algorithms. Department of Computer Science and Information Systems 6 th Annual Research Conference Tuesday, 14 th September, 1999 S2-05 Schuman Building

Ryan, C. (1996) The degree of oneness. ratio :1-

Ryan, C. (1995) GPRobots and GPTeams-competition, co-evolution and cooperation in genetic programming. Working Notes for the AAAI Symposium on Genetic Programming :86-93

Walsh, P. and Ryan, C. (1995) Automatic conversion of programs from serial to parallel using genetic programming-the paragen system. Proceedings of ParCo

Ryan, C. (1995) Racial harmony and function optimization in genetic algorithms-the races genetic algorithm. Proc. Of Evolutionary Programming :296-307

Ryan, C. (1995) Racial Harmony and Function. Evolutionary Programming IV: Proceedings of the Fourth Annual Conference on Evolutionary Programming :109-

Ryan, C. (1994) Racial harmony in genetic algorithms. KI'94 Workshop on Genetic Algorithms