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ORCIDJohn A. Bullinaria
Person information
- affiliation: University of Birmingham, UK
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2020 – today
- 2024
[j16]John A. Bullinaria:
Simulating the Effect of Environmental Change on Evolving Populations. Artif. Life 30(2): 147-170 (2024)- 2022
- [j15]John A. Bullinaria:
Effect of Environmental Change Distribution on Artificial Life Simulations. Artif. Life 28(1): 134-153 (2022)
2010 – 2019
- 2018
- [j14]John A. Bullinaria:
Evolution of learning strategies in changing environments. Cogn. Syst. Res. 52: 429-449 (2018) - [j13]John A. Bullinaria:
Agent-Based Models of Gender Inequalities in Career Progression. J. Artif. Soc. Soc. Simul. 21(3) (2018) - 2017
- [j12]John A. Bullinaria:
Imitative and Direct Learning as Interacting Factors in Life History Evolution. Artif. Life 23(3): 374-405 (2017) - [c31]Joseph P. Levy, John A. Bullinaria, Samantha McCormick:
Semantic vector evaluation and human performance on a new vocabulary MCQ test. CogSci 2017 - 2016
- [c30]John A. Bullinaria:
Population-Based Simulation of Gender Inequality Issues. ALIFE 2016: 452-459 - 2015
- [j11]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: 90-108 (2015) - 2014
- [j10]John A. Bullinaria, Khulood AlYahya:
Artificial Bee Colony training of neural networks: comparison with back-propagation. Memetic Comput. 6(3): 171-182 (2014) - 2013
- [c29]John A. Bullinaria, Khulood AlYahya:
Artificial Bee Colony Training of Neural Networks. NICSO 2013: 191-201 - 2011
- [j9]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): 287-300 (2011) - [c28]Victor M. Landassuri-Moreno, John A. Bullinaria:
Biasing the evolution of modular neural networks. IEEE Congress on Evolutionary Computation 2011: 1958-1965 - [c27]John A. Bullinaria:
Text to phoneme alignment and mapping for speech technology: A neural networks approach. IJCNN 2011: 625-632 - 2010
- [j8]Philipp Rohlfshagen, John A. Bullinaria:
Nature inspired genetic algorithms for hard packing problems. Ann. Oper. Res. 179(1): 393-419 (2010) - [c26]John A. Bullinaria:
Memes in Artificial Life Simulations of Life History Evolution. ALIFE 2010: 823-830 - [c25]Abel García-Nájera, John A. Bullinaria:
Optimizing Delivery Time in Multi-Objective Vehicle Routing Problems with Time Windows. PPSN (2) 2010: 51-60
2000 – 2009
- 2009
- [j7]John A. Bullinaria:
Lifetime Learning as a Factor in Life History Evolution. Artif. Life 15(4): 389-409 (2009) - [c24]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: 275-289 - [c23]Abel García-Nájera, John A. Bullinaria:
Comparison of similarity measures for the multi-objective vehicle routing problem with time windows. GECCO 2009: 579-586 - [c22]Victor M. Landassuri-Moreno, John A. Bullinaria:
Neural network ensembles for time series forecasting. GECCO 2009: 1235-1242 - [c21]John A. Bullinaria:
Evolved Dual Weight Neural Architectures to Facilitate Incremental Learning. IJCCI 2009: 427-434 - 2008
- [c20]Andrea Soltoggio, John A. Bullinaria, Claudio Mattiussi, Peter Dürr, Dario Floreano:
Evolutionary Advantages of Neuromodulated Plasticity in Dynamic, Reward-based Scenarios. ALIFE 2008: 569-576 - [p2]Philipp Rohlfshagen, John A. Bullinaria:
Identification and Exploitation of Linkage by Means of Alternative Splicing. Linkage in Evolutionary Computation 2008: 189-223 - 2007
- [j6]John A. Bullinaria:
Understanding the Emergence of Modularity in Neural Systems. Cogn. Sci. 31(4): 673-695 (2007) - [j5]John A. Bullinaria, Xiaoli Li:
An introduction to computational intelligence techniques for robot control. Ind. Robot 34(4): 295-302 (2007) - [j4]John A. Bullinaria:
Using evolution to improve neural network learning: pitfalls and solutions. Neural Comput. Appl. 16(3): 209-226 (2007) - [c19]Philipp Rohlfshagen, John A. Bullinaria:
Implicit alternative splicing for genetic algorithms. IEEE Congress on Evolutionary Computation 2007: 47-54 - [c18]John A. Bullinaria:
The effect of learning on life history evolution. GECCO 2007: 222-229 - [c17]Philipp Rohlfshagen, John A. Bullinaria:
ExGA II: an improved exonic genetic algorithm for the multiple knapsack problem. GECCO 2007: 1357-1364 - [c16]Philipp Rohlfshagen, John A. Bullinaria:
A genetic algorithm with exon shuffling crossover for hard bin packing problems. GECCO 2007: 1365-1371 - 2006
- [c15]Philipp Rohlfshagen, John A. Bullinaria:
Alternative Splicing in Evolutionary Computation: Adaptation in Dynamic Environments. IEEE Congress on Evolutionary Computation 2006: 2277-2284 - [c14]John A. Bullinaria:
Ensemble Techniques for Avoiding Poor Performance in Evolved Neural Networks. IJCNN 2006: 4803-4810 - 2005
- [c13]Tebogo Seipone, John A. Bullinaria:
Evolving improved incremental learning schemes for neural network systems. Congress on Evolutionary Computation 2005: 2002-2009 - [c12]John A. Bullinaria:
Evolving neural networks: Is it really worth the effort? ESANN 2005: 267-272 - [c11]John A. Bullinaria:
Evolved Age Dependent Plasticity Improves Neural Network Performance. HIS 2005: 79-86 - 2004
- [c10]John A. Bullinaria:
Generational versus steady-state evolution for optimizing neural network learning. IJCNN 2004: 2297-2302 - [e2]Xin Yao, Edmund K. Burke, José Antonio Lozano, Jim Smith, Juan Julián Merelo Guervós, John A. Bullinaria, Jonathan E. Rowe, Peter Tiño, Ata Kabán, Hans-Paul Schwefel:
Parallel Problem Solving from Nature - PPSN VIII, 8th International Conference, Birmingham, UK, September 18-22, 2004, Proceedings. Lecture Notes in Computer Science 3242, Springer 2004, ISBN 3-540-23092-0 [contents] - 2003
- [j3]John A. Bullinaria:
Evolving efficient learning algorithms for binary mappings. Neural Networks 16(5-6): 793-800 (2003) - [c9]Jose Sánchez-Velazco, John A. Bullinaria:
Sexual Selection with Competitive/Co-operative Operators for Genetic Algorithms. Neural Networks and Computational Intelligence 2003: 191-196 - 2002
- [c8]John A. Bullinaria:
The Evolution Of Variable Learning Rates. GECCO 2002: 52-59 - 2001
- [j2]John A. Bullinaria, Patricia M. Riddell:
Neural Network Control Systems that Learn to Perform Appropriately. Int. J. Neural Syst. 11(1): 79-88 (2001) - 2000
- [c7]John A. Bullinaria, Patricia M. Riddell:
Regularization in oculomotor control. ESANN 2000: 207-212 - [c6]John A. Bullinaria:
Exploring the Baldwin Effect in Evolving Adaptable Control Systems. NCPW 2000: 231-242 - [c5]Joseph P. Levy, John A. Bullinaria:
Learning Lexical Properties from Word Usage Patterns: Which Context Words Should be Used? NCPW 2000: 273-282 - [p1]John A. Bullinaria:
Free Gifts from Connectionist Modelling. Information Theory and the Brain 2000: 221-240
1990 – 1999
- 1999
- [c4]John A. Bullinaria, Patricia M. Riddell, Simon K. Rushton:
Regularization in oculomotor adaptation. ESANN 1999: 159-164 - 1998
- [e1]John A. Bullinaria, David Glasspool, George Houghton:
Connectionist Representations: 4th Neural Computation and Psychology Workshop, NCPW 1997, London, UK, April 9-11, 1997. Perspectives in Neural Computing, Springer 1998, ISBN 978-3-540-76208-9 [contents] - 1997
- [c3]Malti Patel, John A. Bullinaria, Joseph P. Levy:
Extracting Semantic Representations from Large Text Corpora. NCPW 1997: 199-212 - [c2]John A. Bullinaria, Christopher C. Huckle:
Modelling Lexical Decision Using Corpus Derived Semantic Representations in a Connectionist Network. NCPW 1997: 213-226 - 1995
- [j1]John A. Bullinaria:
Neural Network Learning from Ambiguous Training Data. Connect. Sci. 7(2): 99-122 (1995) - 1994
- [c1]John A. Bullinaria:
Noise reduction by multi-target learning. ESANN 1994
Coauthor Index
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