- Finding Trigonometric Identities with Tree Adjunct Grammar Guided Genetic
- A Chromosome-based Evaluation Model for Computer Defense Immune Systems
- Some Experimental Results with Tree Adjunct Grammar Guided Genetic
- Solving the Symbolic Regression Problem with Tree-Adjunct Grammar Guided Genetic Programming: The Comparative Results
- Does it matter where you start? A Comparison of Two Initialisation Strategies
- 06/01/2007 02:30 PMIntroduction Page 1 of 8http://www.cs.adfa.edu.au/~rim/PAPERS/geocomp.html#RTFToC1
- Program Evolution with Explicit Learning Y. Shan, R. I. McKay, H. A. Abbass, D. Essam
- Anti-correlation Measures in Genetic Programming R I (Bob) McKay and H A Abbass
- Variants of Genetic Programming for Species Distribution Modelling Fitness Sharing, Partial Functions, Population Evaluation
- Machine Learning with Genetic Programming: Some Challenges R I (Bob) McKay* Non-member
- THE IMPORTANCE OF LOCAL SEARCH A Grammar Based Approach to Environmental Time Se-
- # $ % & ' ( ) 0 1 2 3 4 5 6 7 8 8 9 8 @ A 8 B C D E F G 5 6 H F I 6 F
- AntTAG: a further study Y. Shan, H. Abbass, R.I. McKay, D. Essam
- The Artificial Life and Adaptive Robotics Laboratory ALAR Technical Report Series
- Solving the Symbolic Regression Problem with Tree-Adjunct Grammar Guided Genetic Programming: The Comparative Results
- Spatial Learning using Fitness Shared Genetic Programming applied to modelling Animal Species Distribution
- Code Duplication and Developmental Evaluation in Genetic Programming
- Section 1 Grammars in Genetic Programming: A Brief Review MCKAY, Robert I1
- Model-Building with Interpolated Temporal Data R I (Bob) McKay*, Hoang Tuan Hao*, Naoki Mori *, Nguyen Xuan Hoai*,
- Program distribution estimation with grammar models
- IS AMBIGUITY USEFUL OR PROBLEMATIC FOR GRAMMAR GUIDED GENETIC PROGRAMMING? A CASE STUDY
- Can Tree Adjunct Grammar Guided Genetic Programming be Good at Finding a Needle In a Haystack? A Case Study
- Evolving Self-Reproducing Programs R. I. (Bob) McKay and D. Essam
- Fitness Sharing in Genetic Programming R I (Bob) McKay
- Improving Genetic Classifiers with a Boosting Algorithm Department of Computer Science,
- Partitioned Selection: A Selection Operator for in-vitro Evolution , N Mori1,2
- Analysing the Regularity of Genomes using Compression and Expression Simplification
- Developmental Evaluation in Genetic Programming The TAG-Based Frame Work
- Using communication to increase learning in a hostile multi-agent environment
- SEEA FOR MULTI-OBJECTIVE OPTIMIZATION: REINFORCING ELITIST MOEA THROUGH MULTI-PARENT CROSSOVER, STEADY
- A Compound Framework for Sports Prediction: The Case Study of Football Byungho Min , Jinhyuck Kim, Chongyoun Choe, Hyeonsang Eom, Robert Ian (Bob) McKay
- Evolution, Development and Fitness in Genetic Programming: A Position Paper
- Analysis of CCME: Coevolutionary Dynamics, Automatic Problem Decomposition and
- Machine Learning of Poorly Predictable Ecological Data , D. Paull2
- Representation and Structural Difficulty in Genetic Programming
- An Investigation of Fitness Sharing in Genetic Programming
- Anticorrelation: A Diversity Promoting Mechanism in Ensemble Learning
- Understanding GP EvolutionUnderstanding GP Evolution using Entropy & Compressionusing Entropy & Compression
- Building on Success in Genetic Programming: Adaptive Variation & Developmental Evaluation
- The Artificial Life and Adaptive Robotics Laboratory ALAR Technical Report Series
- Incremental Clustering Based on Swarm Intelligence Bo Liu , Jiuhui Pan Bob McKay
- Developmental Evaluation in Genetic Programming: the Preliminary Results
- Toward an Alternative Comparison between Different Genetic Programming Systems
- Softening the Structural Difficulty in Genetic Programming with TAG-Based Representation and
- Tree Adjoining Grammars, Language Bias, and Genetic Programming
- Machine Induction of Geospatial P A Whigham1, R I McKay2 & J R Davis1
- FRONTIERS IN THE CONVERGENCE OF BIOSCIENCE AND INFORMATION TECHNOLOGIES, OCTOBER 2007 1 Developmental Evaluation in Genetic
- Using Compression to Understand the Distribution of Building Blocks in Genetic Programming Populations
- PSO with Randomized Low-Discrepancy Sequences Nguyen Xuan Hoai
- Abstract--In this paper, we show some experimental results using Incremental Evaluation with Tree Adjoining Grammar
- ORDERTREE: A New Test Problem for Genetic Programming
- Heritage Diversity in Genetic Programming Daryl Essam and R. I. (Bob) McKay
- GENETIC TRANPOSITION IN TREE-ADJOINING GRAMMAR GUIDED GENTIC PROGRAMMING: THE RELOCATION OPERATOR
- Benchmarking Algorithms for Dynamic Travelling Salesman Problems Lishan Kang1,2
- AntTAG: A New Method to Compose Computer Programs Using Colonies of Ants
- Density-Based Heuristic for Rule Discovery with liubo@cs.adfa.edu.au
- A Framework For Tree-Adjunct Grammar Guided Genetic Programming
- Abstract--In this paper, a new hybrid genetic algorithm known as HGA is proposed for solving the Bounded Diameter
- GENETIC TRANSPOSITION IN TREE-ADJOINING GRAMMAR GUIDED GENETIC PROGRAMMING
- An Experimental Study of Some Control Parameters in Parallel Genetic Programming
- An Investigation on the Roles of Insertion and Deletion Operators in Tree Adjoining Grammar Guided Genetic Programming
- Partial Functions in Fitness-Shared Genetic Programming R. I. McKay
- Complex 2004 Proceedings of the 7th Asia-Pacific Conference on Complex Systems
- Pearson & McKay Spatial Induction 18 November 1996 1
- BRINGING INTELLIGENCE TO THE BATTLEFIELD Paul Darbyshire
- Abstract--In this paper, we investigate the use of some wel-known randomised low-discrepancy sequences (Halton, Sobol,
