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Number of items: 95.

Article

Cheng, R, Jin, Y, Olhofer, M and Sendhoff, B (2016) Test Problems for Large-Scale Multiobjective and Many-Objective Optimization IEEE Transactions on Cybernetics.

Cheng, R, Jin, Y, Olhofer, M and Sendhoff, B (2016) A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization IEEE Transactions on Evolutionary Computation.

Cheng, R, Jin, Y, Narukawa, K and Sendhoff, B (2015) A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 19 (6). pp. 838-856.

Chai, T, Jin, Y and Sendhoff, B (2013) Evolutionary Complex Engineering Optimization: Opportunities and Challenges IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, 8 (3). pp. 12-15.

Le, MN, Ong, YS, Menzel, S, Jin, Y and Sendhoff, B (2013) Evolution by Adapting Surrogates EVOLUTIONARY COMPUTATION, 21 (2). pp. 313-340.

Inden, B, Jin, Y, Haschke, R, Ritter, H and Sendhoff, B (2013) An examination of different fitness and novelty based selection methods for the evolution of neural networks SOFT COMPUTING, 17 (5). pp. 753-767.

Jin, Y, Tang, K, Yu, X, Yao, X and Sendhoff, B (2013) A framework for finding robust optimal solutions over time Memetic Computing, 5 (1). pp. 3-18.

Schramm, L, Jin, Y and Sendhoff, B (2012) Evolution and Analysis of Genetic Networks for Stable Cellular Growth and Regeneration ARTIFICIAL LIFE, 18 (4). pp. 425-444.

Le, MN, Ong, YS, Jin, Y and Sendhoff, B (2012) A unified framework for symbiosis of evolutionary mechanisms with application to water clusters potential model design IEEE Computational Intelligence Magazine, 7 (1). pp. 20-35.

Gehrmann, E, Glaesser, C, Jin, Y, Sendhoff, B, Drossel, B and Hamacher, K (2011) Robustness of glycolysis in yeast to internal and external noise PHYSICAL REVIEW E, 84, 021913.

Meng, Y, Zhang, Y, Sampath, A, Jin, Y and Sendhoff, B (2011) Cross-Ball: A new morphogenetic self-reconfigurable modular robot. ICRA. pp. 267-272.

Lim, D, Jin, Y, Ong, Y-S and Sendhoff, B (2010) Generalizing surrogate-assisted evolutionary computation IEEE Transactions on Evolutionary Computation, 14 (3). pp. 329-355.

Jin, Y and Sendhoff, B (2009) Corrections to "Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies" [May 08 397-415]. Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, 39.

Le, MN, Ong, Y-S, Jin, Y and Sendhoff, B (2009) Lamarckian memetic algorithms: local optimum and connectivity structure analysis Memetic Computing, 1 (3). pp. 175-190.

Jin, Y, Gruna, R and Sendhoff, B (2009) Pareto analysis of evolutionary and learning systems Frontiers of Computer Science in China, 3 (1). pp. 4-17.

Steiner, T, Jin, Y and Sendhoff, B (2009) Vector field embryogeny PLoS ONE, 4 (12). pp. 1-16.

Jin, Y and Sendhoff, B (2009) A systems approach to evolutionary multiobjective structural optimization and beyond IEEE Computational Intelligence Magazine, 4 (3). pp. 62-76.

Jin, Y and Sendhoff, B (2008) Pareto-based multiobjective machine learning: An overview and case studies IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, 38 (3). pp. 397-415.

Lim, D, Ong, Y-S, Jin, Y, Sendhoff, B and Lee, B-S (2007) Efficient Hierarchical Parallel Genetic Algorithms using Grid computing Future Generation Computer Systems, 23 (4). pp. 658-670.

Foli, K, Okabe, T, Olhofer, M, Jin, Y and Sendhoff, B (2006) Optimization of micro heat exchanger: CFD, analytical approach and multi-objective evolutionary algorithms International Journal of Heat and Mass Transfer, 49 (5-6). pp. 1090-1099.

Lim, D, Ong, Y-S, Jin, Y, Sendhoff, B and Lee, BS (2006) Inverse multi-objective robust evolutionary design Genetic Programming and Evolvable Machines, 7 (4). pp. 383-404.

Huesken, M, Jin, Y and Sendhoff, B (2005) Structure optimization of neural networks for evolutionary design optimization Soft Computing, 12 (1). pp. 21-28.

Okabe, T, Jin, Y and Sendhoff, B (2003) A critical survey of performance indices for multi-objective optimisation 2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings, 2. pp. 878-885.

Jin, Y and Sendhoff, B (2003) Extracting interpretable fuzzy rules from RBF networks Neural Processing Letters, 17 (2). pp. 149-164.

Jin, Y, Olhofer, M and Sendhoff, B (2002) A framework for evolutionary optimization with approximate fitness functions. IEEE Trans. Evolutionary Computation, 6, 5. pp. 481-494.

Jin, Y and Sendhoff, B (1999) Knowledge incorporation into neural networks from fuzzy rules Neural Processing Letters, 10 (3). pp. 231-242.

Jin, Y, Seelen, WV and Sendhoff, B (1999) On generating FC3 fuzzy rule systems from data using evolution strategies. IEEE Transactions on Systems, Man, and Cybernetics, Part B, 29, 6. pp. 829-845.

Book Section

Steiner, T, Jin, Y, Schramm, L and Sendhoff, B (2009) Dynamic links and evolutionary history in simulated gene regulatory networks In: Handbook of Research on Computational Methodologies in Gene Regulatory Networks. UNSPECIFIED, pp. 498-522. ISBN 9781605666853

Okabe, T, Jin, Y and Sendhoff, B (2009) Combination of genetic algorithms and evolution strategies with self-adaptive switching In: Multi-Objective Memetic Algorithm. UNSPECIFIED, pp. 281-307. ISBN 354088050X

Jin, Y and Sendhoff, B (2009) Fuzzy logic in evolving in silico oscillatory dynamics for gene regulatory networks In: Fuzzy Systems in Bioinformatics and Computational Biology. UNSPECIFIED, pp. 315-327. ISBN 3540899677

Jin, Y, Zhou, A, Zhang, Q, Sendhoff, B and Tsang, E (2008) Modeling regularity to improve scalability of model-based multi-objective optimization algorithms In: Multiobjective problem solving from nature. Springer-Verlag New York Inc, pp. 331-356. ISBN 3540729631

Jin, Y, Sendhoff, B and Körner, E (2008) Rule extraction from compact pareto-optimal neural networks In: Multi-objective Evolutionary Algorithms for Knowledge Discovery from Databases. UNSPECIFIED, pp. 71-90. ISBN 3540774661

Gräning, L, Jin, Y and Sendhoff, B (2007) Individual-based management of meta-models for evolutionary optimization with application to three-dimensional blade optimization In: Evolutionary Computation in Dynamic and Uncertain Environments. UNSPECIFIED, pp. 225-250.

Jin, Y, Sendhoff, B and Körner, E (2006) Simultaneous generation of accurate and interpretable neural network classifiers In: Multi-Objective Machine Learning. UNSPECIFIED, pp. 289-312.

Conference or Workshop Item

Schramm, L, Jin, Y and Sendhoff, B (2012) Quantitative analysis of redundancy in evolution of developmental systems.

Schramm, L, Jin, Y and Sendhoff, B (2011) Emerged coupling of motor control and morphological development in evolution of multi-cellular animats In: 10th European Conference, ECAL 2009, 2009-09-13 - 2009-09-16, Budapest, Hungary.

Schramm, L, Jin, Y and Sendhoff, B (2011) Redundancy creates opportunity in developmental representations

Jones, B, Jin, Y, Sendhoff, B and Yao, X (2011) The effect of proprioceptive feedback on the distribution of sensory information in a model of an undulatory organism In: 10th European Conference, ECAL 2009, 2009-09-13 - 2009-09-16, Budapest, Hungary.

Schramm, L, Valente Martins, V, Jin, Y and Sendhoff, B (2010) Analysis of gene regulatory network motifs in evolutionary development of multi-cellular organisms In: Artificial Life XII, 2010-08-19 - 2010-08-23, Odense, Denmark.

Jones, B, Jin, Y, Sendhoff, B and Yao, X (2010) Emergent Distribution of Computational Workload in the Evolution of an Undulatory Animat.

Steiner, T, Jin, Y and Sendhoff, B (2010) Evolving heterochrony for cellular differentiation using vector field embryogeny In: Genetic and Evolutionary Computation Conference, 2010-07-07 - 2010-07-11, Portland.

Jones, B, Jin, Y, Sendhoff, B and Yao, X (2009) The evolutionary emergence of neural organization in a hydra-like animat In: Bernstein Conference on Computational Neuroscience, 2009-09-30 - 2009-10-02, Frankfurt, Germany.

Jin, Y, Gruna, R, Paenke, I and Sendhoff, B (2009) Evolutionary Multi-objective Optimization of Robustness and Innovation in Redundant Genetic Representations In: IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2009-03-30 - 2009-04-02, Nashville, TN.

Jin, Y, Schramm, L, Sendhoff, B, Koppen, M, Kasabov, N and Coghill, G (2009) A Gene Regulatory Model for the Development of Primitive Nervous Systems In: 15th International Conference on Neuro-Information Processing, 2008-11-25 - 2008-11-28, Auckland, NEW ZEALAND.

Steiner, T, Trommler, J, Brenn, M, Jin, Y and Sendhoff, B (2009) Global Shape with Morphogen Gradients and Motile Polarized Cells In: IEEE Congress on Evolutionary Computation, 2009-05-18 - 2009-05-21, Trondheim, NORWAY.

Jones, B, Yao, X, Jin, Y and Sendhoff, B (2009) Evolution of neural organization in a hydra-like animat

Jin, Y, Sendhoff, B and Meng, Y (2009) Influence of regulation logic on the easiness of evolving sustained oscillation for gene regulatory networks

Jones, B, Jin, Y, Sendhoff, B and Yao, X (2008) Evolving functional symmetry in a three dimensional model of an elongated organism

Jin, Y and Sendhoff, B (2008) Evolving in silico Bistable and Oscillatory Dynamics for Gene Regulatory Network Motifs In: IEEE Congress on Evolutionary Computation, 2008-06-01 - 2008-06-06, Hong Kong, PEOPLES R CHINA.

Lim, D, Ong, Y-S, Jin, Y and Sendhoff, B (2008) Evolutionary optimization with dynamic fidelity computational models

Jones, B, Yao, X, Jin, Y and Sendhoff, B (2008) Evolving functional symmetry in a three dimensional model of an elongated organism

Cao, Y, Jin, Y, Kowalczykiewicz, M and Sendhoff, B (2008) Prediction of convergence dynamics of design performance using differential recurrent neural networks.

Samways, N, Jin, Y, Yao, X and Sendhoff, B (2008) Toward a gene regulatory network model for evolving chemotaxis behavior.

Steiner, T, Jin, Y and Sendhoff, B (2008) A cellular model for the evolutionary development of lightweight material with an inner structure In: 10th Annual Conference on Genetic and Evolutionary Computation 2008, 2008-07-12 - ?, Atlanta, GA.

Zhou, A, Zhang, Q, Jin, Y and Sendhoff, B (2007) Adaptive modelling strategy for continuous multi-objective optimization

Steiner, T, Schramm, L, Jin, Y and Sendhoff, B (2007) Emergence of feedback in artificial gene regulatory networks.

Zhou, A, Zhang, Q, Jin, Y, Sendhoff, B and Tsang, EPK (2007) Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover.

Lim, D, Ong, Y-S, Jin, Y and Sendhoff, B (2007) A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation In: GECCO'07 Genetic and Evolutionary Computation Conference, 2007-07-07 - ?, London, UK.

Graning, L, Jin, Y and Sendhoff, B (2006) Generalization improvement in multi-objective learning In: IEEE International Joint Conference on Neural Network, 2006-07-16 - 2006-07-21, Vancouver, CANADA.

Zhou, A, Zhang, Q, Jin, Y, Sendhoff, B, Tsang, E, Runarsson, TP, Beyer, HG, Burke, E, MereloGuervos, JJ, Whitley, LD and Yao, X (2006) Modelling the population distribution in multi-objective optimization by generative topographic mapping In: 9th International Conference on Parallel Problem Solving from Nature (PPSN IX), 2006-09-09 - 2006-09-13, Univ Iceland, Reykjavik, ICELAND.

Jin, Y, Sendhoff, B, Jin, Y and Sendhoff, B (2006) Alleviating catastrophic forgetting via multi-objective learning

Zhou, A, Zhang, Q, Tsang, E, Jin, Y and Sendhoff, B (2006) Combining model-based and genetics-based offspring generation for multi-objective optimization using a convergence criterion

Zhou, A, Jin, Y, Zhang, Q, Sendhoff, B and Tsang, EPK (2006) Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization.

Ong, Y-S, Jin, Y, Sendhoff, B, Lim, D, Ong, Y-S, Jin, Y and Sendhoff, B (2006) Trusted evolutionary algorithm

Khare, VR, Yao, X, Sendhoff, B, Jin, Y and Wersing, H (2005) Co-evolutionary modular neural networks for automatic problem decomposition

Gräning, L, Jin, Y and Sendhoff, B (2005) Efficient evolutionary optimization using individual-based evolution control and neural networks: A comparative study.

Jin, Y, Sendhoff, B and Körner, E (2005) Evolutionary multi-objective optimization for simultaneous generation of signal-type and symbol-type representations

Jin, Y, Olhofer, M and Sendhoff, B (2005) On evolutionary optimization of large problems using small populations

Okabe, T, Jin, Y and Sendhoff, B (2005) Theoretical comparisons of search dynamics of genetic algorithms and evolution strategies.

Okabe, T, Jin, Y and Sendhoff, B (2005) A new approach to dynamics analysis of genetic algorithms without selection

Jin, Y and Sendhoff, B (2004) Constructing dynamic optimization test problems using the multi-objective optimization concept. In: EvoWorkshops 2004, 2004-04-05 - 2004-04-07, Coimbra, Portugal.

Jin, Y and Sendhoff, B (2004) Constructing dynamic optimization test problems using the multi-objective optimization concept. In: EvoWorkshops 2004, 2004-04-05 - 2004-04-07, Coimbra, Portugal.

Jin, Y, Okabe, T and Sendhoff, B (2004) Neural network regularization and ensembling using multi-objective evolutionary algorithms In: Congress on Evolutionary Computation, 2004-06-19 - ?.

Okabe, T, Jin, Y, Olhofer, M and Sendhoff, B (2004) On test functions for evolutionary multi-objective optimization

Jin, Y and Sendhoff, B (2004) Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles.

Okabe, T, Jin, Y, Sendhoff, B and Olhofer, M (2004) Voronoi-based estimation of distribution algorithm for multi-objective optimization

Jin, Y and Sendhoff, B (2003) Connectedness, regularity and the success of local search in evolutionary multi-objective optimization

Okabe, T, Jin, Y and Sendhoff, B (2003) Evolutionary multi-objective optimisation with a hybrid representation

Okabe, T, Foli, K, Olhofer, M, Jin, Y and Sendhoff, B (2003) Comparative studies on micro heat exchanger optimisation.

Willmes, L, Bäck, T, Jin, Y and Sendhoff, B (2003) Comparing neural networks and Kriging for fitness approximation in evolutionary optimization.

Jin, Y, Okabe, T and Sendhoff, B (2003) Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis.

Jin, Y and Sendhoff, B (2003) Trade-off between performance and robustness: An evolutionary multiobjective approach

Jin, Y and Sendhoff, B (2002) Fitness Approximation In Evolutionary Computation - a Survey.

Jin, Y and Sendhoff, B (2002) Incorporation Of Fuzzy Preferences Into Evolutionary Multiobjective Optimization.

Okabe, T, Jin, Y and Sendhoff, B (2002) On The Dynamics Of Evolutionary Multi-objective Optimization.

Jin, Y, Okabe, T and Sendhoff, B (2001) Adapting Weighted Aggregation for Multiobjective Evolution Strategies.

Olhofer, M, Jin, Y and Sendhoff, B (2001) Adaptive encoding for aerodynamic shape optimization using evolution strategies

Jin, Y, Olhofer, M and Sendhoff, B (2001) Managing approximate models in evolutionary aerodynamic design optimization In: 2001 IEEE Conference on Evolutionary Computation, ICEC, 2001-05-27 - 2001-05-30.

Jin, Y, Olhofer, M and Sendhoff, B (2000) On Evolutionary Optimization with Approximate Fitness Functions.

Patent

UNSPECIFIED Approximate fitness functions 7043462.

UNSPECIFIED Combining model-based and genetics-based offspring generation for multi-objective optimization using a convergence criterion 773920.

UNSPECIFIED Fuzzy preferences in multi-objective optimization (MOO) 7383236.

UNSPECIFIED Methods for multi-objective optimization using evolutionary algorithms 7363280.

UNSPECIFIED Reduction of fitness evaluations using clustering techniques and neural network ensembles 7363281.

UNSPECIFIED System and method for estimation of a distribution algorithm 7428514.

This list was generated on Sun Nov 19 18:13:49 2017 UTC.

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