John A. Bullinaria

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 8

Top Topics

Changing Environment

Combinatorial Optimization

Artificial Life

Top Venues

J. Artif. Soc. Soc. Simul.

Memetic Comput.

Publications

John A. Bullinaria
Simulating the Effect of Environmental Change on Evolving Populations. Artif. Life 30 (2) (2024)
John A. Bullinaria
Effect of Environmental Change Distribution on Artificial Life Simulations. Artif. Life 28 (1) (2022)
John A. Bullinaria
Agent-Based Models of Gender Inequalities in Career Progression. J. Artif. Soc. Soc. Simul. 21 (3) (2018)
John A. Bullinaria
Evolution of learning strategies in changing environments. Cogn. Syst. Res. 52 (2018)
John A. Bullinaria
Imitative and Direct Learning as Interacting Factors in Life History Evolution. Artif. Life 23 (3) (2017)
Joseph P. Levy, John A. Bullinaria, Samantha McCormick
Semantic vector evaluation and human performance on a new vocabulary MCQ test. CogSci (2017)
John A. Bullinaria
Population-Based Simulation of Gender Inequality Issues. ALIFE (2016)
Abel García-Nájera, John A. Bullinaria, Miguel Angel Gutiérrez-Ándrade
An evolutionary approach for multi-objective vehicle routing problems with backhauls. Comput. Ind. Eng. 81 (2015)
John A. Bullinaria, Khulood AlYahya
Artificial Bee Colony training of neural networks: comparison with back-propagation. Memetic Comput. 6 (3) (2014)
John A. Bullinaria, Khulood AlYahya
Artificial Bee Colony Training of Neural Networks. NICSO (2013)
John A. Bullinaria
Text to phoneme alignment and mapping for speech technology: A neural networks approach. IJCNN (2011)
Abel García-Nájera, John A. Bullinaria
An improved multi-objective evolutionary algorithm for the vehicle routing problem with time windows. Comput. Oper. Res. 38 (1) (2011)
Victor M. Landassuri-Moreno, John A. Bullinaria
Biasing the evolution of modular neural networks. IEEE Congress on Evolutionary Computation (2011)
Philipp Rohlfshagen, John A. Bullinaria
Nature inspired genetic algorithms for hard packing problems. Ann. Oper. Res. 179 (1) (2010)
Abel García-Nájera, John A. Bullinaria
Optimizing Delivery Time in Multi-Objective Vehicle Routing Problems with Time Windows. PPSN (2) (2010)
John A. Bullinaria
Memes in Artificial Life Simulations of Life History Evolution. ALIFE (2010)
John A. Bullinaria
Evolved Dual Weight Neural Architectures to Facilitate Incremental Learning. IJCCI (2009)
Abel García-Nájera, John A. Bullinaria
Comparison of similarity measures for the multi-objective vehicle routing problem with time windows. GECCO (2009)
John A. Bullinaria
Lifetime Learning as a Factor in Life History Evolution. Artif. Life 15 (4) (2009)
Abel García-Nájera, John A. Bullinaria
Bi-objective Optimization for the Vehicle Routing Problem with Time Windows: Using Route Similarity to Enhance Performance. EMO (2009)
Victor M. Landassuri-Moreno, John A. Bullinaria
Neural network ensembles for time series forecasting. GECCO (2009)
Andrea Soltoggio, John A. Bullinaria, Claudio Mattiussi, Peter Dürr, Dario Floreano
Evolutionary Advantages of Neuromodulated Plasticity in Dynamic, Reward-based Scenarios. ALIFE (2008)
John A. Bullinaria
Understanding the Emergence of Modularity in Neural Systems. Cogn. Sci. 31 (4) (2007)
Philipp Rohlfshagen, John A. Bullinaria
ExGA II: an improved exonic genetic algorithm for the multiple knapsack problem. GECCO (2007)
Philipp Rohlfshagen, John A. Bullinaria
A genetic algorithm with exon shuffling crossover for hard bin packing problems. GECCO (2007)
John A. Bullinaria
The effect of learning on life history evolution. GECCO (2007)
Philipp Rohlfshagen, John A. Bullinaria
Implicit alternative splicing for genetic algorithms. IEEE Congress on Evolutionary Computation (2007)
John A. Bullinaria, Xiaoli Li
An introduction to computational intelligence techniques for robot control. Ind. Robot 34 (4) (2007)
John A. Bullinaria
Using evolution to improve neural network learning: pitfalls and solutions. Neural Comput. Appl. 16 (3) (2007)
Philipp Rohlfshagen, John A. Bullinaria
Alternative Splicing in Evolutionary Computation: Adaptation in Dynamic Environments. IEEE Congress on Evolutionary Computation (2006)
John A. Bullinaria
Ensemble Techniques for Avoiding Poor Performance in Evolved Neural Networks. IJCNN (2006)
Tebogo Seipone, John A. Bullinaria
Evolving improved incremental learning schemes for neural network systems. Congress on Evolutionary Computation (2005)
John A. Bullinaria
Evolved Age Dependent Plasticity Improves Neural Network Performance. HIS (2005)
John A. Bullinaria
Evolving neural networks: Is it really worth the effort? ESANN (2005)
John A. Bullinaria
Evolving efficient learning algorithms for binary mappings. Neural Networks 16 (5-6) (2003)
Jose Sánchez-Velazco, John A. Bullinaria
Sexual Selection with Competitive/Co-operative Operators for Genetic Algorithms. Neural Networks and Computational Intelligence (2003)
John A. Bullinaria
The Evolution Of Variable Learning Rates. GECCO (2002)
John A. Bullinaria, Patricia M. Riddell
Neural Network Control Systems that Learn to Perform Appropriately. Int. J. Neural Syst. 11 (1) (2001)
John A. Bullinaria, Patricia M. Riddell
Regularization in oculomotor control. ESANN (2000)
Joseph P. Levy, John A. Bullinaria
Learning Lexical Properties from Word Usage Patterns: Which Context Words Should be Used? NCPW (2000)
John A. Bullinaria
Exploring the Baldwin Effect in Evolving Adaptable Control Systems. NCPW (2000)
John A. Bullinaria, Patricia M. Riddell, Simon K. Rushton
Regularization in oculomotor adaptation. ESANN (1999)
Malti Patel, John A. Bullinaria, Joseph P. Levy
Extracting Semantic Representations from Large Text Corpora. NCPW (1997)
John A. Bullinaria, Christopher C. Huckle
Modelling Lexical Decision Using Corpus Derived Semantic Representations in a Connectionist Network. NCPW (1997)
John A. Bullinaria
Neural Network Learning from Ambiguous Training Data. Connect. Sci. 7 (2) (1995)
John A. Bullinaria
Noise reduction by multi-target learning. ESANN (1994)