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Edward P. K. Tsang
Person information
- affiliation: University of Essex, Centre for Computational Finance and Econimic Agents
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Books and Theses
- 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 - 1987
- [b1]Edward P. K. Tsang:
Planning in a temporal frame : A Partial World Description approach. University of Essex, UK, 1987
Journal Articles
- 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) - 2019
- [j53]Venkata L. Raju Chinthalapati, Edward P. K. Tsang:
Special Issue on Algorithms in Computational Finance. Algorithms 12(4): 69 (2019) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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)
Conference and Workshop Papers
- 2019
- [c73]Jun Chen, Edward P. K. Tsang:
Tacking Regime Changes in the Markets. CIFEr 2019: 1-6 - 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 - 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
- [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
- [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
- [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 - 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
- [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 - 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
- [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 - 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 - 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
- [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
- [c21]Dongbing Gu
, Huosheng Hu
, Jeff Reynolds, Edward P. K. Tsang:
GA-based learning in behaviour based robotics. CIRA 2003: 1521-1526 - 2001
- [c20]Abdulwahed M. Abbas, Edward P. K. Tsang:
Constraint-Based Timetabling-A Case Study. AICCSA 2001: 67-72 - 2000
- [c19]Edward P. K. Tsang, Jin Li:
Combining Ordinal Financial Predictions with Genetic Programming. IDEAL 2000: 532-537 - 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
- [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 - 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
- [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 - 1990
- [c6]Edward P. K. Tsang, Terry Warwick:
Applying Genetic Algorithms to Constraint Satisfaction Optimization Problems. ECAI 1990: 649-654 - 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
- [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
Parts in Books or Collections
- 2012
- [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 - 2008
- [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 - 2006
- [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 - 2003
- [p1]Christos Voudouris, Edward P. K. Tsang:
Guided Local Search. Handbook of Metaheuristics 2003: 185-218
Editorship
- 2003
- [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]
Reference Works
- 2018
- [r2]Abdullah Alsheddy, Christos Voudouris, Edward P. K. Tsang, Ahmad Alhindi
:
Guided Local Search. Handbook of Heuristics 2018: 261-297 - 2006
- [r1]Holger H. Hoos, Edward P. K. Tsang:
Local Search Methods. Handbook of Constraint Programming 2006: 135-167
Informal and Other Publications
- 2017
- [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)
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-05 21:18 CEST by the dblp team
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