John A. Bullinaria

52 papers A 7B 13C 6Journal 16Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Simulating the Effect of Environmental Change on Evolving Populations. Artif. Life John A. Bullinaria
2022	J	`jnl`	Effect of Environmental Change Distribution on Artificial Life Simulations. Artif. Life John A. Bullinaria
2018	J	`jnl`	Agent-Based Models of Gender Inequalities in Career Progression. J. Artif. Soc. Soc. Simul. John A. Bullinaria
2018	J	`jnl`	Evolution of learning strategies in changing environments. Cogn. Syst. Res. John A. Bullinaria
2017	J	`jnl`	Imitative and Direct Learning as Interacting Factors in Life History Evolution. Artif. Life John A. Bullinaria
2017	B	`conf`	Semantic vector evaluation and human performance on a new vocabulary MCQ test. CogSci Joseph P. Levy, John A. Bullinaria, Samantha McCormick
2016	C	`conf`	Population-Based Simulation of Gender Inequality Issues. ALIFE John A. Bullinaria
2015	J	`jnl`	An evolutionary approach for multi-objective vehicle routing problems with backhauls. Comput. Ind. Eng. Abel García-Nájera, John A. Bullinaria, Miguel Angel Gutiérrez-Ándrade
2014	J	`jnl`	Artificial Bee Colony training of neural networks: comparison with back-propagation. Memetic Comput. John A. Bullinaria, Khulood AlYahya
2013	—	`conf`	Artificial Bee Colony Training of Neural Networks. NICSO John A. Bullinaria, Khulood AlYahya
2011	J	`jnl`	An improved multi-objective evolutionary algorithm for the vehicle routing problem with time windows. Comput. Oper. Res. Abel García-Nájera, John A. Bullinaria
2011	B	`conf`	Biasing the evolution of modular neural networks. IEEE Congress on Evolutionary Computation Victor M. Landassuri-Moreno, John A. Bullinaria
2011	B	`conf`	Text to phoneme alignment and mapping for speech technology: A neural networks approach. IJCNN John A. Bullinaria
2010	C	`conf`	Memes in Artificial Life Simulations of Life History Evolution. ALIFE John A. Bullinaria
2010	J	`jnl`	Nature inspired genetic algorithms for hard packing problems. Ann. Oper. Res. Philipp Rohlfshagen, John A. Bullinaria
2010	—	`conf`	Optimizing Delivery Time in Multi-Objective Vehicle Routing Problems with Time Windows. PPSN (2) Abel García-Nájera, John A. Bullinaria
2009	C	`conf`	Bi-objective Optimization for the Vehicle Routing Problem with Time Windows: Using Route Similarity to Enhance Performance. EMO Abel García-Nájera, John A. Bullinaria
2009	A	`conf`	Comparison of similarity measures for the multi-objective vehicle routing problem with time windows. GECCO Abel García-Nájera, John A. Bullinaria
2009	C	`conf`	Evolved Dual Weight Neural Architectures to Facilitate Incremental Learning. IJCCI John A. Bullinaria
2009	J	`jnl`	Lifetime Learning as a Factor in Life History Evolution. Artif. Life John A. Bullinaria
2009	A	`conf`	Neural network ensembles for time series forecasting. GECCO Victor M. Landassuri-Moreno, John A. Bullinaria
2008	C	`conf`	Evolutionary Advantages of Neuromodulated Plasticity in Dynamic, Reward-based Scenarios. ALIFE Andrea Soltoggio, John A. Bullinaria, Claudio Mattiussi, Peter Dürr, Dario Floreano
2008	—	`ch.`	Identification and Exploitation of Linkage by Means of Alternative Splicing. Linkage in Evolutionary Computation Philipp Rohlfshagen, John A. Bullinaria
2007	A	`conf`	A genetic algorithm with exon shuffling crossover for hard bin packing problems. GECCO Philipp Rohlfshagen, John A. Bullinaria
2007	J	`jnl`	An introduction to computational intelligence techniques for robot control. Ind. Robot John A. Bullinaria, Xiaoli Li
2007	A	`conf`	ExGA II: an improved exonic genetic algorithm for the multiple knapsack problem. GECCO Philipp Rohlfshagen, John A. Bullinaria
2007	B	`conf`	Implicit alternative splicing for genetic algorithms. IEEE Congress on Evolutionary Computation Philipp Rohlfshagen, John A. Bullinaria
2007	A	`conf`	The effect of learning on life history evolution. GECCO John A. Bullinaria
2007	J	`jnl`	Understanding the Emergence of Modularity in Neural Systems. Cogn. Sci. John A. Bullinaria
2007	J	`jnl`	Using evolution to improve neural network learning: pitfalls and solutions. Neural Comput. Appl. John A. Bullinaria
2006	B	`conf`	Alternative Splicing in Evolutionary Computation: Adaptation in Dynamic Environments. IEEE Congress on Evolutionary Computation Philipp Rohlfshagen, John A. Bullinaria
2006	B	`conf`	Ensemble Techniques for Avoiding Poor Performance in Evolved Neural Networks. IJCNN John A. Bullinaria
2005	C	`conf`	Evolved Age Dependent Plasticity Improves Neural Network Performance. HIS John A. Bullinaria
2005	B	`conf`	Evolving improved incremental learning schemes for neural network systems. Congress on Evolutionary Computation Tebogo Seipone, John A. Bullinaria
2005	B	`conf`	Evolving neural networks: Is it really worth the effort? ESANN John A. Bullinaria
2004	B	`conf`	Generational versus steady-state evolution for optimizing neural network learning. IJCNN John A. Bullinaria
2004	A	`ed.`	Parallel Problem Solving from Nature - PPSN VIII, 8th International Conference, Birmingham, UK, September 18-22, 2004, Proceedings PPSN 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
2003	J	`jnl`	Evolving efficient learning algorithms for binary mappings. Neural Networks John A. Bullinaria
2003	B	`conf`	Optimizing the learning of binary mappings. IJCNN John A. Bullinaria
2003	—	`conf`	Sexual Selection with Competitive/Co-operative Operators for Genetic Algorithms. Neural Networks and Computational Intelligence Jose Sánchez-Velazco, John A. Bullinaria
2002	A	`conf`	The Evolution Of Variable Learning Rates. GECCO John A. Bullinaria
2001	J	`jnl`	Neural Network Control Systems that Learn to Perform Appropriately. Int. J. Neural Syst. John A. Bullinaria, Patricia M. Riddell
2000	—	`conf`	Exploring the Baldwin Effect in Evolving Adaptable Control Systems. NCPW John A. Bullinaria
2000	—	`ch.`	Free Gifts from Connectionist Modelling. Information Theory and the Brain John A. Bullinaria
2000	—	`conf`	Learning Lexical Properties from Word Usage Patterns: Which Context Words Should be Used? NCPW Joseph P. Levy, John A. Bullinaria
2000	B	`conf`	Regularization in oculomotor control. ESANN John A. Bullinaria, Patricia M. Riddell
1999	B	`conf`	Regularization in oculomotor adaptation. ESANN John A. Bullinaria, Patricia M. Riddell, Simon K. Rushton
1998	—	`ed.`	Connectionist Representations: 4th Neural Computation and Psychology Workshop, NCPW 1997, London, UK, April 9-11, 1997 NCPW John A. Bullinaria, David Glasspool, George Houghton
1997	—	`conf`	Extracting Semantic Representations from Large Text Corpora. NCPW Malti Patel, John A. Bullinaria, Joseph P. Levy
1997	—	`conf`	Modelling Lexical Decision Using Corpus Derived Semantic Representations in a Connectionist Network. NCPW John A. Bullinaria, Christopher C. Huckle
1995	J	`jnl`	Neural Network Learning from Ambiguous Training Data. Connect. Sci. John A. Bullinaria
1994	B	`conf`	Noise reduction by multi-target learning. ESANN John A. Bullinaria