Edward P. K. Tsang

138 papers A* 4A 9B 25C 8Misc 2Journal 55Unranked 26
YearRankTypeTitle / Venue / Authors
2022 J jnl
Measuring relative volatility in high-frequency data under the directional change approach.
Intell. Syst. Account. Finance Manag.
Shengnan Li, Edward P. K. Tsang, John O'Hara
2019 J jnl
Special Issue on Algorithms in Computational Finance.
Algorithms
Venkata L. Raju Chinthalapati, Edward P. K. Tsang
2019 — conf
Tacking Regime Changes in the Markets.
CIFEr
Jun Chen, Edward P. K. Tsang
2018 J jnl
Classification of Normal and Abnormal Regimes in Financial Markets.
Algorithms
Jun Chen, Edward P. K. Tsang
2018 J jnl
EB-GLS: an improved guided local search based on the big valley structure.
Memetic Comput.
Jialong Shi, Qingfu Zhang, Edward P. K. Tsang
2018 J jnl
Guest Editorial Special Issue on Data-Driven Computational Intelligence for e-Governance, Socio-Political, and Economic Systems.
IEEE Trans. Emerg. Top. Comput. Intell.
Faiyaz Doctor, Edgar Galván López, Edward P. K. Tsang
2018 — ch.
Guided Local Search.
Handbook of Heuristics
Abdullah Alsheddy, Christos Voudouris, Edward P. K. Tsang, Ahmad Alhindi
2018 J jnl
Intelligent Dynamic Backlash Agent: A Trading Strategy Based on the Directional Change Framework.
Algorithms
Amer Bakhach, Venkata L. Raju Chinthalapati, Edward P. K. Tsang, Abdul Rahman El Sayed
2018 J jnl
Regime Change Detection Using Directional Change Indicators in the Foreign Exchange Market to Chart Brexit.
IEEE Trans. Emerg. Top. Comput. Intell.
Edward P. K. Tsang, Jun Chen
2018 J jnl
TSFDC: A trading strategy based on forecasting directional change.
Intell. Syst. Account. Finance Manag.
Amer Bakhach, Edward P. K. Tsang, Venkata L. Raju Chinthalapati
2017 — conf
Constructing a bellwether theory: Regime change detection using directional change.
CEEC
Jun Chen, Edward P. K. Tsang
2017 — conf
Developing sustainable trading strategies using directional changes with high frequency data.
IEEE BigData
Ailun Ye, Venkata L. Raju Chinthalapati, Antoaneta Serguieva, Edward P. K. Tsang
2017 — conf
Directional Changes: A New Way to Look at Price Dynamics.
CICBA (1)
Edward P. K. Tsang
2017 J jnl
EB-GLS: An Improved Guided Local Search Based on the Big Valley Structure.
CoRR
Jialong Shi, Qingfu Zhang, Edward P. K. Tsang
2017 J jnl
Modeling the High-Frequency FX Market: An Agent-Based Approach.
Comput. Intell.
Monira Essa Aloud, Maria Fasli, Edward P. K. Tsang, Alexander Dupuis, Richard Olsen
2016 — conf
Backlash Agent: A trading strategy based on Directional Change.
SSCI
Amer Bakhach, Edward P. K. Tsang, Wing Lon Ng, Venkata L. Raju Chinthalapati
2016 — conf
Forecasting directional changes in the FX markets.
SSCI
Amer Bakhach, Edward P. K. Tsang, Hamid Reza Jalalian
2014 — conf
Combining different meta-heuristics to improve the predictability of a Financial Forecasting algorithm.
CIFEr
Babatunde Aluko, Dafni Smonou, Michael Kampouridis, Edward P. K. Tsang
2014 — conf
Guided Fast Local Search for speeding up a financial forecasting algorithm.
CIFEr
Ming Shao, Dafni Smonou, Michael Kampouridis, Edward P. K. Tsang
2014 — conf
Hybridisation of decomposition and GRASP for combinatorial multiobjective optimisation.
UKCI
Ahmad Alhindi, Qingfu Zhang, Edward P. K. Tsang
2014 J jnl
Multiobjective genetic programming for maximizing ROC performance.
Neurocomputing
Pu Wang, Ke Tang, Thomas Weise, Edward P. K. Tsang, Xin Yao
2013 B conf
A Genetic Type-2 fuzzy logic based system for financial applications modelling and prediction.
FUZZ-IEEE
Dario Bernardo, Hani Hagras, Edward P. K. Tsang
2013 J jnl
A genetic type-2 fuzzy logic based system for the generation of summarised linguistic predictive models for financial applications.
Soft Comput.
Dario Bernardo, Hani Hagras, Edward P. K. Tsang
2013 B conf
Metaheuristics application on a financial forecasting problem.
IEEE Congress on Evolutionary Computation
Dafni Smonou, Michael Kampouridis, Edward P. K. Tsang
2013 J jnl
On the investigation of hyper-heuristics on a financial forecasting problem.
Ann. Math. Artif. Intell.
Michael Kampouridis, Abdullah Alsheddy, Edward P. K. Tsang
2012 — conf
An Interval Type-2 Fuzzy Logic System for the Modeling and Prediction of Financial Applications.
AIS
Dario Bernardo, Hani Hagras, Edward P. K. Tsang
2012 — conf
An interval type-2 Fuzzy Logic based system for model generation and summarization of arbitrage opportunities in stock markets.
UKCI
Dario Bernardo, Hani Hagras, Edward P. K. Tsang
2012 J jnl
Investment Opportunities Forecasting: Extending the Grammar of a GP-based Tool.
Int. J. Comput. Intell. Syst.
Michael Kampouridis, Edward P. K. Tsang
2012 — ch.
Market Microstructure: A Self-Organizing Map Approach to Investigate Behavior Dynamics under an Evolutionary Environment.
Natural Computing in Computational Finance (4)
Michael Kampouridis, Shu-Heng Chen, Edward P. K. Tsang
2012 B conf
Using a genetic algorithm as a decision support tool for the deployment of Fiber Optic Networks.
IEEE Congress on Evolutionary Computation
Michael Kampouridis, Tim Glover, Ali Rais Shaghaghi, Edward P. K. Tsang
2011 B conf
A Memetic Genetic Programming with decision tree-based local search for classification problems.
IEEE Congress on Evolutionary Computation
Pu Wang, Ke Tang, Edward P. K. Tsang, Xin Yao
2011 J jnl
A complete and an incomplete algorithm for automated guided vehicle scheduling in container terminals.
Comput. Math. Appl.
Hassan Rashidi, Edward P. K. Tsang
2011 J jnl
Bargaining strategies designed by evolutionary algorithms.
Appl. Soft Comput.
Nanlin Jin, Edward P. K. Tsang
2011 J jnl
Competition is Bad for Consumers: Analysis of an Artificial Payment Card Market.
J. Adv. Comput. Intell. Intell. Informatics
Biliana Alexandrova-Kabadjova, Edward P. K. Tsang, Andreas Krause
2011 J jnl
Empowerment scheduling for a field workforce.
J. Sched.
Abdullah Alsheddy, Edward P. K. Tsang
2011 — conf
Investigating the effect of different GP algorithms on the non-stationary behavior of financial markets.
CIFEr
Michael Kampouridis, Shu-Heng Chen, Edward P. K. Tsang
2011 — conf
Market Microstructure: Can Dinosaurs Return? A Self-Organizing Map Approach under an Evolutionary Framework.
EvoApplications (2)
Michael Kampouridis, Shu-Heng Chen, Edward P. K. Tsang
2011 J jnl
Market structure and information in payment card markets.
Int. J. Autom. Comput.
Biliana Alexandrova-Kabadjova, Edward P. K. Tsang, Andreas Krause
2011 — conf
Minimal agent-based model for the origin of trading activity in Foreign exchange market.
CIFEr
Monira Essa Aloud, Edward P. K. Tsang, Alexandre Dupuis, Richard Olsen
2011 J jnl
Profit-Maximizing Strategies for an Artificial Payment Card Market. Is Learning Possible?
J. Intell. Learn. Syst. Appl.
Biliana Alexandrova-Kabadjova, Edward P. K. Tsang, Andreas Krause
2011 — conf
Using Hyperheuristics under a GP Framework for Financial Forecasting.
LION
Michael Kampouridis, Edward P. K. Tsang
2010 J jnl
Applying Computational Intelligence: How to Create Value (Kordon, A.K.; 2010) [Book Review].
IEEE Comput. Intell. Mag.
Edward P. K. Tsang
2010 A conf
Constraint-Directed Search in Computational Finance and Economics.
CP
Edward P. K. Tsang
2010 B conf
EDDIE for investment opportunities forecasting: Extending the search space of the GP.
IEEE Congress on Evolutionary Computation
Michael Kampouridis, Edward P. K. Tsang
2010 J jnl
Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model.
IEEE Trans. Evol. Comput.
Qingfu Zhang, Wudong Liu, Edward P. K. Tsang, Botond Virginas
2010 B conf
Guided Pareto Local Search based frameworks for biobjective optimization.
IEEE Congress on Evolutionary Computation
Abdullah Alsheddy, Edward P. K. Tsang
2010 B conf
MOEA/D with NBI-style Tchebycheff approach for portfolio management.
IEEE Congress on Evolutionary Computation
Qingfu Zhang, Hui Li, Dietmar Maringer, Edward P. K. Tsang
2010 C conf
Microstructure Dynamics and Agent-Based Financial Markets.
MABS
Shu-Heng Chen, Michael Kampouridis, Edward P. K. Tsang
2010 J jnl
On the partitioning of dynamic workforce scheduling problems.
J. Sched.
Yossi Borenstein, Nazaraf Shah, Edward P. K. Tsang, Raphaël Dorne, Abdullah Alsheddy, Christos Voudouris
2010 — conf
Testing the Dinosaur Hypothesis under Empirical Datasets.
PPSN (2)
Michael Kampouridis, Shu-Heng Chen, Edward P. K. Tsang
2010 — conf
Using GP to evolve decision rules for classification in financial data sets.
IEEE ICCI
Pu Wang, Edward P. K. Tsang, Thomas Weise, Ke Tang, Xin Yao
2009 J jnl
A constraint-guided method with evolutionary algorithms for economic problems.
Appl. Soft Comput.
Nanlin Jin, Edward P. K. Tsang, Jin Li
2009 J jnl
An Heterogeneous, Endogenous and Coevolutionary GP-Based Financial Market.
IEEE Trans. Evol. Comput.
Serafín Martínez-Jaramillo, Edward P. K. Tsang
2009 J jnl
Editorial Special Issue: Computational Finance and Economics.
IEEE Trans. Evol. Comput.
Edward P. K. Tsang, Pedro Isasi
2009 C conf
Evolutionary Computation in Finance Forecasting.
IJCCI
Edward P. K. Tsang
2009 J jnl
Forecasting - where computational intelligence meets the stock market.
Frontiers Comput. Sci. China
Edward P. K. Tsang
2009 B conf
Fuzzy clustering based Gaussian Process Model for large training set and its application in expensive evolutionary optimization.
IEEE Congress on Evolutionary Computation
Wudong Liu, Qingfu Zhang, Edward P. K. Tsang, Botond Virginas
2009 — conf
Intelligent Agent Based Workforce Empowerment.
KES-AMSTA
Nazaraf Shah, Edward P. K. Tsang, Yossi Borenstein, Raphaël Dorne, Anne Liret, Christos Voudouris
2009 J jnl
Risk analysis in complex systems: intelligent systems in finance.
Intell. Syst. Account. Finance Manag.
Antoaneta Serguieva, Guglielmo Maria Caporale, Edward P. K. Tsang, Ronald R. Yager
2009 — conf
The degree of dynamism for workforce scheduling problem with stochastic task duration.
GECCO (Companion)
Yossi Borenstein, Abdullah Alsheddy, Edward P. K. Tsang, Nazaraf Shah
2008 J jnl
Computational intelligence determines effective rationality.
Int. J. Autom. Comput.
Edward P. K. Tsang
2008 J jnl
DEPICT: A high-level formal language for modeling constraint satisfaction problems.
Int. J. Autom. Comput.
Abdulwahed M. Abbas, Edward P. K. Tsang, Ahmad H. Nasri
2008 — ch.
Evolutionary Learning of the Optimal Pricing Strategy in an Artificial Payment Card Market.
Natural Computing in Computational Finance
Biliana Alexandrova-Kabadjova, Edward P. K. Tsang, Andreas Krause
2008 J jnl
Evolving decision rules to predict investment opportunities.
Int. J. Autom. Comput.
Alma Lilia García-Almanza, Edward P. K. Tsang
2008 J jnl
Intelligent Resource Exchanges: Solutions and Pathways in a Workforce Allocation Problem.
J. Univers. Comput. Sci.
Botond Virginas, Marian Florin Ursu, Edward P. K. Tsang, Gilbert Owusu, Christos Voudouris
2008 — ch.
Modeling Regularity to Improve Scalability of Model-Based Multiobjective Optimization Algorithms.
Multiobjective Problem Solving from Nature
Yaochu Jin, Aimin Zhou, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang
2008 A conf
On the partitioning of dynamic scheduling problems -: assigning technicians to areas.
GECCO
Yossi Borenstein, Nazaraf Shah, Edward P. K. Tsang, Raphaël Dorne, Abdullah Alsheddy, Christos Voudouris
2008 J jnl
Retractable contract network for empowerment in workforce scheduling.
Multiagent Grid Syst.
Edward P. K. Tsang, Timothy Gosling, Botond Virginas, Christos Voudouris, Gilbert Owusu, Wudong Liu
2008 B conf
Tchebycheff approximation in Gaussian Process model composition for multi-objective expensive black box.
IEEE Congress on Evolutionary Computation
Wudong Liu, Qingfu Zhang, Edward P. K. Tsang, Botond Virginas
2007 C conf
An Agent-Based Model of Interactions in the Payment Card Market.
IDEAL
Biliana Alexandrova-Kabadjova, Andreas Krause, Edward P. K. Tsang
2007 J jnl
Combinations of estimation of distribution algorithms and other techniques.
Int. J. Autom. Comput.
Qingfu Zhang, Jianyong Sun, Edward P. K. Tsang
2007 J jnl
Detection of stock price movements using chance discovery and genetic programming.
Int. J. Knowl. Based Intell. Eng. Syst.
Alma Lilia García-Almanza, Edward P. K. Tsang
2007 J jnl
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
Qingfu Zhang, Jianyong Sun, Gaoxi Xiao, Edward P. K. Tsang
2007 A conf
Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover.
GECCO
Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang
2007 — conf
Intelligent Resource Allocation-Solutions and Pathways in a Workforce Planning Problem.
KES-AMSTA
Botond Virginas, Marian Florin Ursu, Edward P. K. Tsang, Gilbert Owusu, Christos Voudouris
2007 — conf
On the Performance of Metamodel Assisted MOEA/D.
ISICA
Wudong Liu, Qingfu Zhang, Edward P. K. Tsang, Cao Liu, Botond Virginas
2007 C conf
Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization.
EMO
Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang
2007 B conf
Repository method to suit different investment strategies.
IEEE Congress on Evolutionary Computation
Alma Lilia García-Almanza, Edward P. K. Tsang
2007 J jnl
Towards a practical engineering tool for rostering.
Ann. Oper. Res.
Edward P. K. Tsang, John A. Ford, Patrick Mills, Richard Bradwell, Richard Williams, Paul Scott
2006 B conf
Co-adaptive Strategies for Sequential Bargaining Problems with Discount Factors and Outside Options.
IEEE Congress on Evolutionary Computation
Nanlin Jin, Edward P. K. Tsang
2006 B conf
Combining Model-based and Genetics-based Offspring Generation for Multi-objective Optimization Using a Convergence Criterion.
IEEE Congress on Evolutionary Computation
Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang
2006 C conf
DEPICT: A High-Level Formal Language For Modeling Constraint Satisfaction Problems.
AICCSA
Abdulwahed M. Abbas, Edward P. K. Tsang, Ahmad H. Nasri
2006 — ch.
Estimation of Distribution Algorithm with 2-opt Local Search for the Quadratic Assignment Problem.
Towards a New Evolutionary Computation
Qingfu Zhang, Jianyong Sun, Edward P. K. Tsang, John A. Ford
2006 B conf
Incentive Method to Handle Constraints in Evolutionary Algorithms with a Case Study.
EuroGP
Edward P. K. Tsang, Nanlin Jin
2006 — ch.
Local Search Methods.
Handbook of Constraint Programming
Holger H. Hoos, Edward P. K. Tsang
2006 A conf
Modelling the Population Distribution in Multi-objective Optimization by Generative Topographic Mapping.
PPSN
Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang
2006 B conf
Simplifying Decision Trees Learned by Genetic Programming.
IEEE Congress on Evolutionary Computation
Alma Lilia García-Almanza, Edward P. K. Tsang
2006 B conf
Tackling the Simple Supply Chain Model.
IEEE Congress on Evolutionary Computation
Timothy Gosling, Edward P. K. Tsang
2006 — conf
The Repository Method for Chance Discovery in Financial Forecasting.
KES (3)
Alma Lilia García-Almanza, Edward P. K. Tsang
2006 — conf
Wind-Tunnel Testing for strategy and market design.
ISDA (1)
Edward P. K. Tsang
2005 B conf
A model-based evolutionary algorithm for bi-objective optimization.
Congress on Evolutionary Computation
Aimin Zhou, Qingfu Zhang, Yaochu Jin, Edward P. K. Tsang, Tatsuya Okabe
2005 J jnl
An evolutionary algorithm with guided mutation for the maximum clique problem.
IEEE Trans. Evol. Comput.
Qingfu Zhang, Jianyong Sun, Edward P. K. Tsang
2005 — conf
Co-evolutionary Strategies for an Alternating-Offer Bargaining Problem.
CIG
Nanlin Jin, Edward P. K. Tsang
2005 J jnl
DE/EDA: A new evolutionary algorithm for global optimization.
Inf. Sci.
Jianyong Sun, Qingfu Zhang, Edward P. K. Tsang
2005 B conf
Population based incremental learning with guided mutation versus genetic algorithms: iterated prisoners dilemma.
Congress on Evolutionary Computation
Timothy Gosling, Nanlin Jin, Edward P. K. Tsang
2005 B conf
Relative Fitness and Absolute Fitness for Co-evolutionary Systems.
EuroGP
Nanlin Jin, Edward P. K. Tsang
2004 J jnl
EDDIE-Automation, a decision support tool for financial forecasting.
Decis. Support Syst.
Edward P. K. Tsang, Paul Yung, Jin Li
2004 B conf
Hybrid Estimation of Distribution Algorithm for Multiobjective Knapsack Problem.
EvoCOP
Hui Li, Qingfu Zhang, Edward P. K. Tsang, John A. Ford
2004 J jnl
Software engineering aspects of constraint-based timetabling - a case study.
Inf. Softw. Technol.
Abdulwahed M. Abbas, Edward P. K. Tsang
2003 J jnl
Applying an Extended Guided Local Search to the Quadratic Assignment Problem.
Ann. Oper. Res.
Patrick Mills, Edward P. K. Tsang, John A. Ford
2003 J jnl
Constraint Based Scheduling: Applying Constraint Programming to Scheduling Problems.
J. Sched.
Edward P. K. Tsang
2003 — conf
GA-based learning in behaviour based robotics.
CIRA
Dongbing Gu, Huosheng Hu, Jeff Reynolds, Edward P. K. Tsang
2003 B ed.
Genetic Programming, 6th European Conference, EuroGP 2003, Essex, UK, April 14-16, 2003. Proceedings
EuroGP
Conor Ryan, Terence Soule, Maarten Keijzer, Edward P. K. Tsang, Riccardo Poli, Ernesto Costa
2003 — ch.
Guided Local Search.
Handbook of Metaheuristics
Christos Voudouris, Edward P. K. Tsang
2001 J jnl
A Context for Constraint Satisfaction Problem Formulation Selection.
Constraints An Int. J.
James E. Borrett, Edward P. K. Tsang
2001 C conf
Constraint-Based Timetabling-A Case Study.
AICCSA
Abdulwahed M. Abbas, Edward P. K. Tsang
2001 J jnl
Guided Genetic Algorithm and its Application to Radio Link Frequency Assignment Problems.
Constraints An Int. J.
T. L. Lau, Edward P. K. Tsang
2000 C conf
Combining Ordinal Financial Predictions with Genetic Programming.
IDEAL
Edward P. K. Tsang, Jin Li
2000 J jnl
Guided Local Search for Solving SAT and Weighted MAX-SAT Problems.
J. Autom. Reason.
Patrick Mills, Edward P. K. Tsang
1999 J jnl
A Glimpse of Constraint Satisfaction.
Artif. Intell. Rev.
Edward P. K. Tsang
1999 J jnl
Guided local search and its application to the traveling salesman problem.
Eur. J. Oper. Res.
Christos Voudouris, Edward P. K. Tsang
1999 Misc conf
Improving Technical Analysis Predictions: An Application of Genetic Programming.
FLAIRS
Jin Li, Edward P. K. Tsang
1999 B conf
Investment decision making using FGP: a case study.
CEC
Jin Li, Edward P. K. Tsang
1998 J jnl
EDDIE Beats the Bookies.
Softw. Pract. Exp.
Edward P. K. Tsang, Jin Li, James M. Butler
1998 — conf
Guided local search joins the elite in discrete optimisation.
Constraint Programming and Large Scale Discrete Optimization
Christos Voudouris, Edward P. K. Tsang
1998 J jnl
No more "Partial" and "Full Looking Ahead".
Artif. Intell.
Edward P. K. Tsang
1998 J jnl
Predicting Phase Transitions of Binary Constraint Satisfaction Problems with Constraint Graph Information.
Intell. Data Anal.
Alvin C. M. Kwan, Edward P. K. Tsang, James E. Borrett
1998 B conf
Solving large processor configuration problems with the guided genetic algorithm.
ICTAI
T. L. Lau, Edward P. K. Tsang
1998 J jnl
Spatio-temporal Conflict Detection and Resolution.
Constraints An Int. J.
Richard J. Howarth, Edward P. K. Tsang
1998 B conf
The guided genetic algorithm and its application to the generalized assignment problem.
ICTAI
Tung Leng Lau, Edward P. K. Tsang
1997 J jnl
Fast local search and guided local search and their application to British Telecom's workforce scheduling problem.
Oper. Res. Lett.
Edward P. K. Tsang, Christos Voudouris
1997 J jnl
Solving the Processor Configuration Problems with a Mutation-Based Genetic Algorithm.
Int. J. Artif. Intell. Tools
T. L. Lau, Edward P. K. Tsang
1996 A conf
Adaptive Constraint Satisfaction: The Quickest First Principle.
ECAI
James E. Borrett, Edward P. K. Tsang, Natasha R. Walsh
1996 B conf
Applying a Mutation-based Genetic Algorithm to Processor Configuration Problems.
ICTAI
T. L. Lau, Edward P. K. Tsang
1996 B conf
Minimal Forward Checking with Backmarking and Conflict-Directed Backjumping.
ICTAI
Alvin C. M. Kwan, Edward P. K. Tsang
1996 A conf
Predicting Phase Transitions of Binary CSPs with Constraint Graph Information.
ECAI
Alvin C. M. Kwan, Edward P. K. Tsang, James E. Borrett
1995 A* conf
Systematic Versus Stochastic Constraint Satisfaction.
IJCAI
Eugene C. Freuder, Rina Dechter, Matthew L. Ginsberg, Bart Selman, Edward P. K. Tsang
1995 J jnl
Tackling Car Sequencing Problems Using a Generic Genetic Algorithm Strategy.
Evol. Comput.
Terry Warwick, Edward P. K. Tsang
1994 A* conf
GENET: A Connectionist Architecture for Solving Constraint Satisfaction Problems by Iterative Improvement.
AAAI
Andrew J. Davenport, Edward P. K. Tsang, Chang J. Wang, Kangmin Zhu
1994 Misc conf
Using a genetic algorithm to tackle the processors configuration problem.
SAC
Terry Warwick, Edward P. K. Tsang
1993 — book
Foundations of constraint satisfaction.
Edward P. K. Tsang
1990 A conf
Applying Genetic Algorithms to Constraint Satisfaction Optimization Problems.
ECAI
Edward P. K. Tsang, Terry Warwick
1988 A conf
Elements in Temporal Reasoning in Planning.
ECAI
Edward P. K. Tsang
1988 C conf
Elements in Temporal Reasoning in Planning.
ISMIS
Edward P. K. Tsang
1987 — —
Planning in a temporal frame : A Partial World Description approach.
Edward P. K. Tsang
1987 A* conf
The Consistent Labeling Problem in Temporal Reasoning.
AAAI
Edward P. K. Tsang
1987 A* conf
Time Structures for AI.
IJCAI
Edward P. K. Tsang
1986 A conf
Plan Generation in a Temporal Frame.
ECAI
Edward P. K. Tsang