Edward Tsang
Edward Tsang
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Zitiert von
Zitiert von
Foundations of constraint satisfaction: the classic text
E Tsang
BoD–Books on Demand, 2014
Expensive multiobjective optimization by MOEA/D with Gaussian process model
Q Zhang, W Liu, E Tsang, B Virginas
IEEE Transactions on Evolutionary Computation 14 (3), 456-474, 2009
Guided local search and its application to the traveling salesman problem
C Voudouris, E Tsang
European journal of operational research 113 (2), 469-499, 1999
Guided local search
C Voudouris, EPK Tsang, A Alsheddy
Handbook of metaheuristics, 321-361, 2010
Combining model-based and genetics-based offspring generation for multi-objective optimization using a convergence criterion
A Zhou, Y Jin, Q Zhang, B Sendhoff, E Tsang
2006 IEEE international conference on evolutionary computation, 892-899, 2006
DE/EDA: A new evolutionary algorithm for global optimization
J Sun, Q Zhang, EPK Tsang
Information Sciences 169 (3-4), 249-262, 2005
A note on uniform distribution and experimental design
王元, 方开泰
科学通报: 英文版, 485-489, 1981
An evolutionary algorithm with guided mutation for the maximum clique problem
Q Zhang, J Sun, E Tsang
IEEE transactions on evolutionary computation 9 (2), 192-200, 2005
Prediction-based population re-initialization for evolutionary dynamic multi-objective optimization
A Zhou, Y Jin, Q Zhang, B Sendhoff, E Tsang
International conference on evolutionary multi-criterion optimization, 832-846, 2007
GENET: A connectionist architecture for solving constraint satisfaction problems by iterative improvement
A Davenport, E Tsang, CJ Wang, K Zhu
AAAI 94, 325-330, 1994
Fast local search and guided local search and their application to British Telecom's workforce scheduling problem
E Tsang, C Voudouris
Operations Research Letters 20 (3), 119-127, 1997
Partial constraint satisfaction problems and guided local search
C Voudouris, E Tsang
Proc., Practical Application of Constraint Technology (PACT'96), London, 337-356, 1996
EDDIE-Automation, a decision support tool for financial forecasting
E Tsang, P Yung, J Li
Decision Support Systems 37 (4), 559-565, 2004
Hybrid estimation of distribution algorithm for global optimization
Q Zhang, J Sun, E Tsang, J Ford
Engineering computations 21 (1), 91-107, 2004
MOEA/D with NBI-style Tchebycheff approach for portfolio management
Q Zhang, H Li, D Maringer, E Tsang
IEEE congress on evolutionary computation, 1-8, 2010
Guided local search for solving SAT and weighted MAX-SAT problems
P Mills, E Tsang
Journal of Automated Reasoning 24 (1), 205-223, 2000
Novel constraints satisfaction models for optimization problems in container terminals
H Rashidi, EPK Tsang
Applied Mathematical Modelling 37 (6), 3601-3634, 2013
Improving Technical Analysis Predictions: An Application of Genetic Programming.
J Li, EPK Tsang
FLAIRS, 108-112, 1999
An heterogeneous, endogenous and coevolutionary GP-based financial market
S Martinez-Jaramillo, EPK Tsang
IEEE Transactions on Evolutionary Computation 13 (1), 33-55, 2009
A model-based evolutionary algorithm for bi-objective optimization
A Zhou, Q Zhang, Y Jin, E Tsang, T Okabe
2005 IEEE congress on evolutionary computation 3, 2568-2575, 2005
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