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ORCIDEdward P. K. Tsang
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- affiliation: University of Essex, Centre for Computational Finance and Econimic Agents
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2020 – today
- 2022
[j54]Shengnan Li
, Edward P. K. Tsang, John O'Hara:
Measuring relative volatility in high-frequency data under the directional change approach. Intell. Syst. Account. Finance Manag. 29(2): 86-102 (2022)
2010 – 2019
- 2019
- [j53]Venkata L. Raju Chinthalapati, Edward P. K. Tsang:
Special Issue on Algorithms in Computational Finance. Algorithms 12(4): 69 (2019) - [c73]Jun Chen, Edward P. K. Tsang:
Tacking Regime Changes in the Markets. CIFEr 2019: 1-6 - 2018
- [j52]Amer Bakhach, Venkata L. Raju Chinthalapati, Edward P. K. Tsang, Abdul Rahman El Sayed:
Intelligent Dynamic Backlash Agent: A Trading Strategy Based on the Directional Change Framework. Algorithms 11(11): 171 (2018) - [j51]Jun Chen, Edward P. K. Tsang:
Classification of Normal and Abnormal Regimes in Financial Markets. Algorithms 11(12): 202 (2018) - [j50]Amer Bakhach, Edward P. K. Tsang, Venkata L. Raju Chinthalapati:
TSFDC: A trading strategy based on forecasting directional change. Intell. Syst. Account. Finance Manag. 25(3): 105-123 (2018) - [j49]Jialong Shi, Qingfu Zhang, Edward P. K. Tsang:
EB-GLS: an improved guided local search based on the big valley structure. Memetic Comput. 10(3): 333-350 (2018) - [j48]Faiyaz Doctor, Edgar Galván López, Edward P. K. Tsang:
Guest Editorial Special Issue on Data-Driven Computational Intelligence for e-Governance, Socio-Political, and Economic Systems. IEEE Trans. Emerg. Top. Comput. Intell. 2(3): 171-173 (2018) - [j47]Edward P. K. Tsang, Jun Chen:
Regime Change Detection Using Directional Change Indicators in the Foreign Exchange Market to Chart Brexit. IEEE Trans. Emerg. Top. Comput. Intell. 2(3): 185-193 (2018) - [r2]Abdullah Alsheddy, Christos Voudouris, Edward P. K. Tsang, Ahmad Alhindi:
Guided Local Search. Handbook of Heuristics 2018: 261-297 - 2017
- [j46]Monira Essa Aloud, Maria Fasli, Edward P. K. Tsang, Alexander Dupuis, Richard Olsen:
Modeling the High-Frequency FX Market: An Agent-Based Approach. Comput. Intell. 33(4): 771-825 (2017) - [c72]Ailun Ye, Venkata L. Raju Chinthalapati, Antoaneta Serguieva, Edward P. K. Tsang:
Developing sustainable trading strategies using directional changes with high frequency data. IEEE BigData 2017: 4265-4271 - [c71]Jun Chen, Edward P. K. Tsang:
Constructing a bellwether theory: Regime change detection using directional change. CEEC 2017: 112-115 - [c70]Edward P. K. Tsang:
Directional Changes: A New Way to Look at Price Dynamics. CICBA (1) 2017: 45-55 - [i1]Jialong Shi, Qingfu Zhang, Edward P. K. Tsang:
EB-GLS: An Improved Guided Local Search Based on the Big Valley Structure. CoRR abs/1709.07576 (2017) - 2016
- [c69]Amer Bakhach, Edward P. K. Tsang, Hamid Reza Jalalian:
Forecasting directional changes in the FX markets. SSCI 2016: 1-8 - [c68]Amer Bakhach, Edward P. K. Tsang, Wing Lon Ng, Venkata L. Raju Chinthalapati:
Backlash Agent: A trading strategy based on Directional Change. SSCI 2016: 1-9 - 2014
- [j45]Pu Wang, Ke Tang, Thomas Weise, Edward P. K. Tsang, Xin Yao:
Multiobjective genetic programming for maximizing ROC performance. Neurocomputing 125: 102-118 (2014) - [c67]Ming Shao, Dafni Smonou, Michael Kampouridis, Edward P. K. Tsang:
Guided Fast Local Search for speeding up a financial forecasting algorithm. CIFEr 2014: 325-332 - [c66]Babatunde Aluko, Dafni Smonou, Michael Kampouridis, Edward P. K. Tsang:
Combining different meta-heuristics to improve the predictability of a Financial Forecasting algorithm. CIFEr 2014: 333-340 - [c65]Ahmad Alhindi, Qingfu Zhang, Edward P. K. Tsang:
Hybridisation of decomposition and GRASP for combinatorial multiobjective optimisation. UKCI 2014: 1-7 - 2013
- [j44]Michael Kampouridis, Abdullah Alsheddy, Edward P. K. Tsang:
On the investigation of hyper-heuristics on a financial forecasting problem. Ann. Math. Artif. Intell. 68(4): 225-246 (2013) - [j43]Dario Bernardo, Hani Hagras, Edward P. K. Tsang:
A genetic type-2 fuzzy logic based system for the generation of summarised linguistic predictive models for financial applications. Soft Comput. 17(12): 2185-2201 (2013) - [c64]Dafni Smonou, Michael Kampouridis, Edward P. K. Tsang:
Metaheuristics application on a financial forecasting problem. IEEE Congress on Evolutionary Computation 2013: 1021-1028 - [c63]Dario Bernardo, Hani Hagras, Edward P. K. Tsang:
A Genetic Type-2 fuzzy logic based system for financial applications modelling and prediction. FUZZ-IEEE 2013 - 2012
- [j42]Michael Kampouridis, Edward P. K. Tsang:
Investment Opportunities Forecasting: Extending the Grammar of a GP-based Tool. Int. J. Comput. Intell. Syst. 5(3): 530-541 (2012) - [c62]Dario Bernardo, Hani Hagras, Edward P. K. Tsang:
An Interval Type-2 Fuzzy Logic System for the Modeling and Prediction of Financial Applications. AIS 2012: 95-105 - [c61]Michael Kampouridis, Tim Glover, Ali Rais Shaghaghi, Edward P. K. Tsang:
Using a genetic algorithm as a decision support tool for the deployment of Fiber Optic Networks. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c60]Dario Bernardo, Hani Hagras, Edward P. K. Tsang:
An interval type-2 Fuzzy Logic based system for model generation and summarization of arbitrage opportunities in stock markets. UKCI 2012: 1-7 - [p5]Michael Kampouridis, Shu-Heng Chen, Edward P. K. Tsang:
Market Microstructure: A Self-Organizing Map Approach to Investigate Behavior Dynamics under an Evolutionary Environment. Natural Computing in Computational Finance (4) 2012: 181-197 - 2011
- [j41]Nanlin Jin, Edward P. K. Tsang:
Bargaining strategies designed by evolutionary algorithms. Appl. Soft Comput. 11(8): 4701-4712 (2011) - [j40]Hassan Rashidi, Edward P. K. Tsang:
A complete and an incomplete algorithm for automated guided vehicle scheduling in container terminals. Comput. Math. Appl. 61(3): 630-641 (2011) - [j39]Biliana Alexandrova-Kabadjova, Edward P. K. Tsang, Andreas Krause:
Market structure and information in payment card markets. Int. J. Autom. Comput. 8(3): 364 (2011) - [j38]Biliana Alexandrova-Kabadjova, Edward P. K. Tsang, Andreas Krause:
Competition is Bad for Consumers: Analysis of an Artificial Payment Card Market. J. Adv. Comput. Intell. Intell. Informatics 15(2): 188-196 (2011) - [j37]Biliana Alexandrova-Kabadjova, Edward P. K. Tsang, Andreas Krause:
Profit-Maximizing Strategies for an Artificial Payment Card Market. Is Learning Possible? J. Intell. Learn. Syst. Appl. 3(2A): 70-81 (2011) - [j36]Abdullah Alsheddy, Edward P. K. Tsang:
Empowerment scheduling for a field workforce. J. Sched. 14(6): 639-654 (2011) - [c59]Pu Wang, Ke Tang, Edward P. K. Tsang, Xin Yao:
A Memetic Genetic Programming with decision tree-based local search for classification problems. IEEE Congress on Evolutionary Computation 2011: 917-924 - [c58]Michael Kampouridis, Shu-Heng Chen, Edward P. K. Tsang:
Investigating the effect of different GP algorithms on the non-stationary behavior of financial markets. CIFEr 2011: 43-50 - [c57]Monira Essa Aloud, Edward P. K. Tsang, Alexandre Dupuis, Richard Olsen:
Minimal agent-based model for the origin of trading activity in Foreign exchange market. CIFEr 2011: 87-94 - [c56]Michael Kampouridis, Shu-Heng Chen, Edward P. K. Tsang:
Market Microstructure: Can Dinosaurs Return? A Self-Organizing Map Approach under an Evolutionary Framework. EvoApplications (2) 2011: 91-100 - [c55]Michael Kampouridis, Edward P. K. Tsang:
Using Hyperheuristics under a GP Framework for Financial Forecasting. LION 2011: 16-30 - 2010
- [j35]Edward P. K. Tsang:
Applying Computational Intelligence: How to Create Value (Kordon, A.K.; 2010) [Book Review]. IEEE Comput. Intell. Mag. 5(2): 108-109 (2010) - [j34]Yossi Borenstein, Nazaraf Shah, Edward P. K. Tsang, Raphaël Dorne, Abdullah Alsheddy, Christos Voudouris:
On the partitioning of dynamic workforce scheduling problems. J. Sched. 13(4): 411-425 (2010) - [j33]Qingfu Zhang, Wudong Liu, Edward P. K. Tsang, Botond Virginas:
Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model. IEEE Trans. Evol. Comput. 14(3): 456-474 (2010) - [c54]Pu Wang, Edward P. K. Tsang, Thomas Weise, Ke Tang, Xin Yao:
Using GP to evolve decision rules for classification in financial data sets. IEEE ICCI 2010: 720-727 - [c53]Abdullah Alsheddy, Edward P. K. Tsang:
Guided Pareto Local Search based frameworks for biobjective optimization. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c52]Michael Kampouridis, Edward P. K. Tsang:
EDDIE for investment opportunities forecasting: Extending the search space of the GP. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c51]Qingfu Zhang, Hui Li, Dietmar Maringer, Edward P. K. Tsang:
MOEA/D with NBI-style Tchebycheff approach for portfolio management. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c50]Edward P. K. Tsang:
Constraint-Directed Search in Computational Finance and Economics. CP 2010: 3-7 - [c49]Shu-Heng Chen, Michael Kampouridis, Edward P. K. Tsang:
Microstructure Dynamics and Agent-Based Financial Markets. MABS 2010: 121-135 - [c48]Michael Kampouridis, Shu-Heng Chen, Edward P. K. Tsang:
Testing the Dinosaur Hypothesis under Empirical Datasets. PPSN (2) 2010: 199-208
2000 – 2009
- 2009
- [j32]Nanlin Jin, Edward P. K. Tsang, Jin Li:
A constraint-guided method with evolutionary algorithms for economic problems. Appl. Soft Comput. 9(3): 924-935 (2009) - [j31]Edward P. K. Tsang:
Forecasting - where computational intelligence meets the stock market. Frontiers Comput. Sci. China 3(1): 53-63 (2009) - [j30]Antoaneta Serguieva, Guglielmo Maria Caporale, Edward P. K. Tsang, Ronald R. Yager:
Risk analysis in complex systems: intelligent systems in finance. Intell. Syst. Account. Finance Manag. 16(1-2): 1-3 (2009) - [j29]Edward P. K. Tsang, Pedro Isasi:
Editorial Special Issue: Computational Finance and Economics. IEEE Trans. Evol. Comput. 13(1): 1-2 (2009) - [j28]Serafín Martínez-Jaramillo, Edward P. K. Tsang:
An Heterogeneous, Endogenous and Coevolutionary GP-Based Financial Market. IEEE Trans. Evol. Comput. 13(1): 33-55 (2009) - [c47]Wudong Liu, Qingfu Zhang, Edward P. K. Tsang, Botond Virginas:
Fuzzy clustering based Gaussian Process Model for large training set and its application in expensive evolutionary optimization. IEEE Congress on Evolutionary Computation 2009: 2411-2415 - [c46]Yossi Borenstein, Abdullah Alsheddy, Edward P. K. Tsang, Nazaraf Shah:
The degree of dynamism for workforce scheduling problem with stochastic task duration. GECCO (Companion) 2009: 2005-2010 - [c45]Edward P. K. Tsang:
Evolutionary Computation in Finance Forecasting. IJCCI 2009: 37-37 - [c44]Nazaraf Shah, Edward P. K. Tsang, Yossi Borenstein, Raphaël Dorne, Anne Liret, Christos Voudouris:
Intelligent Agent Based Workforce Empowerment. KES-AMSTA 2009: 163-172 - 2008
- [j27]Alma Lilia García-Almanza, Edward P. K. Tsang:
Evolving decision rules to predict investment opportunities. Int. J. Autom. Comput. 5(1): 22-31 (2008) - [j26]Edward P. K. Tsang:
Computational intelligence determines effective rationality. Int. J. Autom. Comput. 5(1): 63-66 (2008) - [j25]Abdulwahed M. Abbas, Edward P. K. Tsang, Ahmad H. Nasri:
DEPICT: A high-level formal language for modeling constraint satisfaction problems. Int. J. Autom. Comput. 5(2): 208-216 (2008) - [j24]Botond Virginas, Marian Florin Ursu, Edward P. K. Tsang, Gilbert Owusu, Christos Voudouris:
Intelligent Resource Exchanges: Solutions and Pathways in a Workforce Allocation Problem. J. Univers. Comput. Sci. 14(14): 2343-2358 (2008) - [j23]Edward P. K. Tsang, Timothy Gosling, Botond Virginas, Christos Voudouris, Gilbert Owusu, Wudong Liu:
Retractable contract network for empowerment in workforce scheduling. Multiagent Grid Syst. 4(1): 25-44 (2008) - [c43]Wudong Liu, Qingfu Zhang, Edward P. K. Tsang, Botond Virginas:
Tchebycheff approximation in Gaussian Process model composition for multi-objective expensive black box. IEEE Congress on Evolutionary Computation 2008: 3060-3065 - [c42]Yossi Borenstein, Nazaraf Shah, Edward P. K. Tsang, Raphaël Dorne, Abdullah Alsheddy, Christos Voudouris:
On the partitioning of dynamic scheduling problems -: assigning technicians to areas. GECCO 2008: 1691-1692 - [p4]Yaochu Jin, Aimin Zhou, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang:
Modeling Regularity to Improve Scalability of Model-Based Multiobjective Optimization Algorithms. Multiobjective Problem Solving from Nature 2008: 331-355 - [p3]Biliana Alexandrova-Kabadjova, Edward P. K. Tsang, Andreas Krause:
Evolutionary Learning of the Optimal Pricing Strategy in an Artificial Payment Card Market. Natural Computing in Computational Finance 2008: 233-251 - 2007
- [j22]Edward P. K. Tsang, John A. Ford, Patrick Mills, Richard Bradwell, Richard Williams, Paul Scott:
Towards a practical engineering tool for rostering. Ann. Oper. Res. 155(1): 257-277 (2007) - [j21]Qingfu Zhang, Jianyong Sun, Edward P. K. Tsang:
Combinations of estimation of distribution algorithms and other techniques. Int. J. Autom. Comput. 4(3): 273-280 (2007) - [j20]Alma Lilia García-Almanza, Edward P. K. Tsang:
Detection of stock price movements using chance discovery and genetic programming. Int. J. Knowl. Based Intell. Eng. Syst. 11(5): 329-344 (2007) - [j19]Qingfu Zhang, Jianyong Sun, Gaoxi Xiao, Edward P. K. Tsang:
Evolutionary Algorithms Refining a Heuristic: A Hybrid Method for Shared-Path Protections in WDM Networks Under SRLG Constraints. IEEE Trans. Syst. Man Cybern. Part B 37(1): 51-61 (2007) - [c41]Alma Lilia García-Almanza, Edward P. K. Tsang:
Repository method to suit different investment strategies. IEEE Congress on Evolutionary Computation 2007: 790-797 - [c40]Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang:
Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization. EMO 2007: 832-846 - [c39]Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang:
Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover. GECCO 2007: 617-623 - [c38]Biliana Alexandrova-Kabadjova, Andreas Krause, Edward P. K. Tsang:
An Agent-Based Model of Interactions in the Payment Card Market. IDEAL 2007: 1063-1072 - [c37]Wudong Liu, Qingfu Zhang, Edward P. K. Tsang, Cao Liu, Botond Virginas:
On the Performance of Metamodel Assisted MOEA/D. ISICA 2007: 547-557 - [c36]Botond Virginas, Marian Florin Ursu, Edward P. K. Tsang, Gilbert Owusu, Christos Voudouris:
Intelligent Resource Allocation-Solutions and Pathways in a Workforce Planning Problem. KES-AMSTA 2007: 395-404 - 2006
- [c35]Abdulwahed M. Abbas, Edward P. K. Tsang, Ahmad H. Nasri:
DEPICT: A High-Level Formal Language For Modeling Constraint Satisfaction Problems. AICCSA 2006: 365-368 - [c34]Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang:
Combining Model-based and Genetics-based Offspring Generation for Multi-objective Optimization Using a Convergence Criterion. IEEE Congress on Evolutionary Computation 2006: 892-899 - [c33]Alma Lilia García-Almanza, Edward P. K. Tsang:
Simplifying Decision Trees Learned by Genetic Programming. IEEE Congress on Evolutionary Computation 2006: 2142-2148 - [c32]Nanlin Jin, Edward P. K. Tsang:
Co-adaptive Strategies for Sequential Bargaining Problems with Discount Factors and Outside Options. IEEE Congress on Evolutionary Computation 2006: 2149-2156 - [c31]Timothy Gosling, Edward P. K. Tsang:
Tackling the Simple Supply Chain Model. IEEE Congress on Evolutionary Computation 2006: 2179-2186 - [c30]Edward P. K. Tsang, Nanlin Jin:
Incentive Method to Handle Constraints in Evolutionary Algorithms with a Case Study. EuroGP 2006: 133-144 - [c29]Edward P. K. Tsang:
Wind-Tunnel Testing for strategy and market design. ISDA (1) 2006 - [c28]Alma Lilia García-Almanza, Edward P. K. Tsang:
The Repository Method for Chance Discovery in Financial Forecasting. KES (3) 2006: 30-37 - [c27]Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang:
Modelling the Population Distribution in Multi-objective Optimization by Generative Topographic Mapping. PPSN 2006: 443-452 - [p2]Qingfu Zhang, Jianyong Sun, Edward P. K. Tsang, John A. Ford:
Estimation of Distribution Algorithm with 2-opt Local Search for the Quadratic Assignment Problem. Towards a New Evolutionary Computation 2006: 281-292 - [r1]Holger H. Hoos, Edward P. K. Tsang:
Local Search Methods. Handbook of Constraint Programming 2006: 135-167 - 2005
- [j18]Jianyong Sun, Qingfu Zhang, Edward P. K. Tsang:
DE/EDA: A new evolutionary algorithm for global optimization. Inf. Sci. 169(3-4): 249-262 (2005) - [j17]Qingfu Zhang, Jianyong Sun, Edward P. K. Tsang:
An evolutionary algorithm with guided mutation for the maximum clique problem. IEEE Trans. Evol. Comput. 9(2): 192-200 (2005) - [c26]Timothy Gosling, Nanlin Jin, Edward P. K. Tsang:
Population based incremental learning with guided mutation versus genetic algorithms: iterated prisoners dilemma. Congress on Evolutionary Computation 2005: 958-965 - [c25]Aimin Zhou, Qingfu Zhang, Yaochu Jin, Edward P. K. Tsang, Tatsuya Okabe:
A model-based evolutionary algorithm for bi-objective optimization. Congress on Evolutionary Computation 2005: 2568-2575 - [c24]Nanlin Jin, Edward P. K. Tsang:
Co-evolutionary Strategies for an Alternating-Offer Bargaining Problem. CIG 2005 - [c23]Nanlin Jin, Edward P. K. Tsang:
Relative Fitness and Absolute Fitness for Co-evolutionary Systems. EuroGP 2005: 331-340 - 2004
- [j16]Edward P. K. Tsang, Paul Yung, Jin Li:
EDDIE-Automation, a decision support tool for financial forecasting. Decis. Support Syst. 37(4): 559-565 (2004) - [j15]Abdulwahed M. Abbas, Edward P. K. Tsang:
Software engineering aspects of constraint-based timetabling - a case study. Inf. Softw. Technol. 46(6): 359-372 (2004) - [c22]Hui Li, Qingfu Zhang, Edward P. K. Tsang, John A. Ford:
Hybrid Estimation of Distribution Algorithm for Multiobjective Knapsack Problem. EvoCOP 2004: 145-154 - 2003
- [j14]Patrick Mills, Edward P. K. Tsang, John A. Ford:
Applying an Extended Guided Local Search to the Quadratic Assignment Problem. Ann. Oper. Res. 118(1-4): 121-135 (2003) - [j13]Edward P. K. Tsang:
Constraint Based Scheduling: Applying Constraint Programming to Scheduling Problems. J. Sched. 6(4): 413-414 (2003) - [c21]Dongbing Gu, Huosheng Hu, Jeff Reynolds, Edward P. K. Tsang:
GA-based learning in behaviour based robotics. CIRA 2003: 1521-1526 - [p1]Christos Voudouris, Edward P. K. Tsang:
Guided Local Search. Handbook of Metaheuristics 2003: 185-218 - [e1]Conor Ryan, Terence Soule, Maarten Keijzer, Edward P. K. Tsang, Riccardo Poli, Ernesto Costa:
Genetic Programming, 6th European Conference, EuroGP 2003, Essex, UK, April 14-16, 2003. Proceedings. Lecture Notes in Computer Science 2610, Springer 2003, ISBN 3-540-00971-X [contents] - 2001
- [j12]James E. Borrett, Edward P. K. Tsang:
A Context for Constraint Satisfaction Problem Formulation Selection. Constraints An Int. J. 6(4): 299-327 (2001) - [j11]T. L. Lau, Edward P. K. Tsang:
Guided Genetic Algorithm and its Application to Radio Link Frequency Assignment Problems. Constraints An Int. J. 6(4): 373-398 (2001) - [c20]Abdulwahed M. Abbas, Edward P. K. Tsang:
Constraint-Based Timetabling-A Case Study. AICCSA 2001: 67-72 - 2000
- [j10]Patrick Mills, Edward P. K. Tsang:
Guided Local Search for Solving SAT and Weighted MAX-SAT Problems. J. Autom. Reason. 24(1/2): 205-223 (2000) - [c19]Edward P. K. Tsang, Jin Li:
Combining Ordinal Financial Predictions with Genetic Programming. IDEAL 2000: 532-537
1990 – 1999
- 1999
- [j9]Edward P. K. Tsang:
A Glimpse of Constraint Satisfaction. Artif. Intell. Rev. 13(3): 215-227 (1999) - [j8]Christos Voudouris, Edward P. K. Tsang:
Guided local search and its application to the traveling salesman problem. Eur. J. Oper. Res. 113(2): 469-499 (1999) - [c18]Jin Li, Edward P. K. Tsang:
Investment decision making using FGP: a case study. CEC 1999: 1253-1259 - [c17]Jin Li, Edward P. K. Tsang:
Improving Technical Analysis Predictions: An Application of Genetic Programming. FLAIRS 1999: 108-112 - 1998
- [j7]Edward P. K. Tsang:
No more "Partial" and "Full Looking Ahead". Artif. Intell. 98(1-2): 351-361 (1998) - [j6]Richard J. Howarth, Edward P. K. Tsang:
Spatio-temporal Conflict Detection and Resolution. Constraints An Int. J. 3(4): 343-361 (1998) - [j5]Alvin C. M. Kwan, Edward P. K. Tsang, James E. Borrett:
Predicting Phase Transitions of Binary Constraint Satisfaction Problems with Constraint Graph Information. Intell. Data Anal. 2(1-4): 45-62 (1998) - [j4]Edward P. K. Tsang, Jin Li, James M. Butler:
EDDIE Beats the Bookies. Softw. Pract. Exp. 28(10): 1033-1043 (1998) - [c16]Christos Voudouris, Edward P. K. Tsang:
Guided local search joins the elite in discrete optimisation. Constraint Programming and Large Scale Discrete Optimization 1998: 29-39 - [c15]T. L. Lau, Edward P. K. Tsang:
Solving large processor configuration problems with the guided genetic algorithm. ICTAI 1998: 320-327 - [c14]Tung Leng Lau, Edward P. K. Tsang:
The guided genetic algorithm and its application to the generalized assignment problem. ICTAI 1998: 336-343 - 1997
- [j3]T. L. Lau, Edward P. K. Tsang:
Solving the Processor Configuration Problems with a Mutation-Based Genetic Algorithm. Int. J. Artif. Intell. Tools 6(4): 567-585 (1997) - [j2]Edward P. K. Tsang, Christos Voudouris:
Fast local search and guided local search and their application to British Telecom's workforce scheduling problem. Oper. Res. Lett. 20(3): 119-127 (1997) - 1996
- [c13]James E. Borrett, Edward P. K. Tsang, Natasha R. Walsh:
Adaptive Constraint Satisfaction: The Quickest First Principle. ECAI 1996: 160-164 - [c12]Alvin C. M. Kwan, Edward P. K. Tsang, James E. Borrett:
Predicting Phase Transitions of Binary CSPs with Constraint Graph Information. ECAI 1996: 185-189 - [c11]T. L. Lau, Edward P. K. Tsang:
Applying a Mutation-based Genetic Algorithm to Processor Configuration Problems. ICTAI 1996: 17-24 - [c10]Alvin C. M. Kwan, Edward P. K. Tsang:
Minimal Forward Checking with Backmarking and Conflict-Directed Backjumping. ICTAI 1996: 290-298 - 1995
- [j1]Terry Warwick, Edward P. K. Tsang:
Tackling Car Sequencing Problems Using a Generic Genetic Algorithm Strategy. Evol. Comput. 3(3): 267-298 (1995) - [c9]Eugene C. Freuder, Rina Dechter, Matthew L. Ginsberg, Bart Selman, Edward P. K. Tsang:
Systematic Versus Stochastic Constraint Satisfaction. IJCAI 1995: 2027-2032 - 1994
- [c8]Andrew J. Davenport, Edward P. K. Tsang, Chang J. Wang, Kangmin Zhu:
GENET: A Connectionist Architecture for Solving Constraint Satisfaction Problems by Iterative Improvement. AAAI 1994: 325-330 - [c7]Terry Warwick, Edward P. K. Tsang:
Using a genetic algorithm to tackle the processors configuration problem. SAC 1994: 217-221 - 1993
- [b2]Edward P. K. Tsang:
Foundations of constraint satisfaction. Computation in cognitive science, Academic Press 1993, ISBN 978-0-12-701610-8, pp. I-XVIII, 1-421 - 1990
- [c6]Edward P. K. Tsang, Terry Warwick:
Applying Genetic Algorithms to Constraint Satisfaction Optimization Problems. ECAI 1990: 649-654
1980 – 1989
- 1988
- [c5]Edward P. K. Tsang:
Elements in Temporal Reasoning in Planning. ECAI 1988: 571-573 - [c4]Edward P. K. Tsang:
Elements in Temporal Reasoning in Planning. ISMIS 1988: 91-100 - 1987
- [b1]Edward P. K. Tsang:
Planning in a temporal frame : A Partial World Description approach. University of Essex, UK, 1987 - [c3]Edward P. K. Tsang:
The Consistent Labeling Problem in Temporal Reasoning. AAAI 1987: 251-255 - [c2]Edward P. K. Tsang:
Time Structures for AI. IJCAI 1987: 456-461 - 1986
- [c1]Edward P. K. Tsang:
Plan Generation in a Temporal Frame. ECAI 1986: 643-657
Coauthor Index
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last updated on 2025-01-21 00:12 CET by the dblp team
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