Plan Generation in a Temporal Frame. - Edward P. K. Tsang (ECAI, 1986)

The Consistent Labeling Problem in Temporal Reasoning. - Edward P. K. Tsang (AAAI, 1987)

Time Structures for AI. - Edward P. K. Tsang (IJCAI, 1987)

Planning in a temporal frame : A Partial World Description approach. - Edward P. K. Tsang (1987)

Elements in Temporal Reasoning in Planning. - Edward P. K. Tsang (ECAI, 1988)

Applying Genetic Algorithms to Constraint Satisfaction Optimization Problems. - Edward P. K. Tsang; Terry Warwick (ECAI, 1990)

Foundations of constraint satisfaction. - Edward P. K. Tsang (Academic Press, 1993)

GENET: A Connectionist Architecture for Solving Constraint Satisfaction Problems by Iterative Improvement. - Andrew J. Davenport; Edward P. K. Tsang; Chang J. Wang; Kangmin Zhu (AAAI, 1994)

Using a genetic algorithm to tackle the processors configuration problem. - Terry Warwick; Edward P. K. Tsang (SAC, 1994)

Systematic Versus Stochastic Constraint Satisfaction. - Eugene C. Freuder; Rina Dechter; Matthew L. Ginsberg; Bart Selman; Edward P. K. Tsang (IJCAI, 1995)

Tackling Car Sequencing Problems Using a Generic Genetic Algorithm Strategy. - Terry Warwick; Edward P. K. Tsang (Evol. Comput., 1995)

Adaptive Constraint Satisfaction: The Quickest First Principle. - James E. Borrett; Edward P. K. Tsang; Natasha R. Walsh (ECAI, 1996)

Predicting Phase Transitions of Binary CSPs with Constraint Graph Information. - Alvin C. M. Kwan; Edward P. K. Tsang; James E. Borrett (ECAI, 1996)

Minimal Forward Checking with Backmarking and Conflict-Directed Backjumping. - Alvin C. M. Kwan; Edward P. K. Tsang (ICTAI, 1996)

Applying a Mutation-based Genetic Algorithm to Processor Configuration Problems. - T. L. Lau; Edward P. K. Tsang (ICTAI, 1996)

Solving the Processor Configuration Problems with a Mutation-Based Genetic Algorithm. - T. L. Lau; Edward P. K. Tsang (Int. J. Artif. Intell. Tools, 1997)

Fast local search and guided local search and their application to British Telecom's workforce scheduling problem. - Edward P. K. Tsang; Christos Voudouris (Oper. Res. Lett., 1997)

Guided local search joins the elite in discrete optimisation. - Christos Voudouris; Edward P. K. Tsang (Constraint Programming and Large Scale Discrete Optimization, 1998)

Solving large processor configuration problems with the guided genetic algorithm. - T. L. Lau; Edward P. K. Tsang (ICTAI, 1998)

The guided genetic algorithm and its application to the generalized assignment problem. - Tung Leng Lau; Edward P. K. Tsang (ICTAI, 1998)

No more "Partial" and "Full Looking Ahead". - Edward P. K. Tsang (Artif. Intell., 1998)

Spatio-temporal Conflict Detection and Resolution. - Richard J. Howarth; Edward P. K. Tsang (Constraints An Int. J., 1998)

Predicting Phase Transitions of Binary Constraint Satisfaction Problems with Constraint Graph Information. - Alvin C. M. Kwan; Edward P. K. Tsang; James E. Borrett (Intell. Data Anal., 1998)

EDDIE Beats the Bookies. - Edward P. K. Tsang; Jin Li; James M. Butler (Softw. Pract. Exp., 1998)

Investment decision making using FGP: a case study. - Jin Li; Edward P. K. Tsang (CEC, 1999)

Improving Technical Analysis Predictions: An Application of Genetic Programming. - Jin Li; Edward P. K. Tsang (FLAIRS, 1999)

A Glimpse of Constraint Satisfaction. - Edward P. K. Tsang (Artif. Intell. Rev., 1999)

Guided local search and its application to the traveling salesman problem. - Christos Voudouris; Edward P. K. Tsang (Eur. J. Oper. Res., 1999)

Combining Ordinal Financial Predictions with Genetic Programming. - Edward P. K. Tsang; Jin Li (IDEAL, 2000)

Guided Local Search for Solving SAT and Weighted MAX-SAT Problems. - Patrick Mills; Edward P. K. Tsang (J. Autom. Reason., 2000)

Constraint-Based Timetabling-A Case Study. - Abdulwahed M. Abbas; Edward P. K. Tsang (AICCSA, 2001)

A Context for Constraint Satisfaction Problem Formulation Selection. - James E. Borrett; Edward P. K. Tsang (Constraints An Int. J., 2001)

Guided Genetic Algorithm and its Application to Radio Link Frequency Assignment Problems. - T. L. Lau; Edward P. K. Tsang (Constraints An Int. J., 2001)

Guided Local Search. - Christos Voudouris; Edward P. K. Tsang (Handbook of Metaheuristics, 2003)

GA-based learning in behaviour based robotics. - Dongbing Gu; Huosheng Hu; Jeff Reynolds; Edward P. K. Tsang (CIRA, 2003)

Applying an Extended Guided Local Search to the Quadratic Assignment Problem. - Patrick Mills; Edward P. K. Tsang; John A. Ford (Ann. Oper. Res., 2003)

Constraint Based Scheduling: Applying Constraint Programming to Scheduling Problems. - Edward P. K. Tsang (J. Sched., 2003)

Hybrid Estimation of Distribution Algorithm for Multiobjective Knapsack Problem. - Hui Li 020; Qingfu Zhang 001; Edward P. K. Tsang; John A. Ford (EvoCOP, 2004)

EDDIE-Automation, a decision support tool for financial forecasting. - Edward P. K. Tsang; Paul Yung; Jin Li (Decis. Support Syst., 2004)

Software engineering aspects of constraint-based timetabling - a case study. - Abdulwahed M. Abbas; Edward P. K. Tsang (Inf. Softw. Technol., 2004)

Population based incremental learning with guided mutation versus genetic algorithms: iterated prisoners dilemma. - Timothy Gosling; Nanlin Jin; Edward P. K. Tsang (Congress on Evolutionary Computation, 2005)

A model-based evolutionary algorithm for bi-objective optimization. - Aimin Zhou; Qingfu Zhang 001; Yaochu Jin; Edward P. K. Tsang; Tatsuya Okabe (Congress on Evolutionary Computation, 2005)

Co-evolutionary Strategies for an Alternating-Offer Bargaining Problem. - Nanlin Jin; Edward P. K. Tsang (CIG, 2005)

Relative Fitness and Absolute Fitness for Co-evolutionary Systems. - Nanlin Jin; Edward P. K. Tsang (EuroGP, 2005)

DE/EDA: A new evolutionary algorithm for global optimization. - Jianyong Sun; Qingfu Zhang 001; Edward P. K. Tsang (Inf. Sci., 2005)

An evolutionary algorithm with guided mutation for the maximum clique problem. - Qingfu Zhang 001; Jianyong Sun; Edward P. K. Tsang (IEEE Trans. Evol. Comput., 2005)

Estimation of Distribution Algorithm with 2-opt Local Search for the Quadratic Assignment Problem. - Qingfu Zhang 001; Jianyong Sun; Edward P. K. Tsang; John A. Ford (Towards a New Evolutionary Computation, 2006)

Simplifying Decision Trees Learned by Genetic Programming. - Alma Lilia García-Almanza; Edward P. K. Tsang (IEEE Congress on Evolutionary Computation, 2006)

Tackling the Simple Supply Chain Model. - Timothy Gosling; Edward P. K. Tsang (IEEE Congress on Evolutionary Computation, 2006)

Co-adaptive Strategies for Sequential Bargaining Problems with Discount Factors and Outside Options. - Nanlin Jin; Edward P. K. Tsang (IEEE Congress on Evolutionary Computation, 2006)

Combining Model-based and Genetics-based Offspring Generation for Multi-objective Optimization Using a Convergence Criterion. - Aimin Zhou; Yaochu Jin; Qingfu Zhang 001; Bernhard Sendhoff; Edward P. K. Tsang (IEEE Congress on Evolutionary Computation, 2006)

Incentive Method to Handle Constraints in Evolutionary Algorithms with a Case Study. - Edward P. K. Tsang; Nanlin Jin (EuroGP, 2006)

Wind-Tunnel Testing for strategy and market design. - Edward P. K. Tsang (ISDA (1), 2006)

The Repository Method for Chance Discovery in Financial Forecasting. - Alma Lilia García-Almanza; Edward P. K. Tsang (KES (3), 2006)

Modelling the Population Distribution in Multi-objective Optimization by Generative Topographic Mapping. - Aimin Zhou; Qingfu Zhang 001; Yaochu Jin; Bernhard Sendhoff; Edward P. K. Tsang (PPSN, 2006)

Local Search Methods. - Holger H. Hoos; Edward P. K. Tsang (Handbook of Constraint Programming, 2006)

Repository method to suit different investment strategies. - Alma Lilia García-Almanza; Edward P. K. Tsang (IEEE Congress on Evolutionary Computation, 2007)

Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization. - Aimin Zhou; Yaochu Jin; Qingfu Zhang 001; Bernhard Sendhoff; Edward P. K. Tsang (EMO, 2007)

Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover. - Aimin Zhou; Qingfu Zhang 001; Yaochu Jin; Bernhard Sendhoff; Edward P. K. Tsang (GECCO, 2007)

An Agent-Based Model of Interactions in the Payment Card Market. - Biliana Alexandrova-Kabadjova; Andreas Krause 002; Edward P. K. Tsang (IDEAL, 2007)

On the Performance of Metamodel Assisted MOEA/D. - Wudong Liu; Qingfu Zhang 001; Edward P. K. Tsang; Cao Liu; Botond Virginas (ISICA, 2007)

Intelligent Resource Allocation-Solutions and Pathways in a Workforce Planning Problem. - Botond Virginas; Marian Florin Ursu; Edward P. K. Tsang; Gilbert Owusu; Christos Voudouris (KES-AMSTA, 2007)

Towards a practical engineering tool for rostering. - Edward P. K. Tsang; John A. Ford; Patrick Mills; Richard Bradwell; Richard Williams; Paul Scott 001 (Ann. Oper. Res., 2007)

Combinations of estimation of distribution algorithms and other techniques. - Qingfu Zhang 001; Jianyong Sun; Edward P. K. Tsang (Int. J. Autom. Comput., 2007)

Detection of stock price movements using chance discovery and genetic programming. - Alma Lilia García-Almanza; Edward P. K. Tsang (Int. J. Knowl. Based Intell. Eng. Syst., 2007)

Evolutionary Algorithms Refining a Heuristic: A Hybrid Method for Shared-Path Protections in WDM Networks Under SRLG Constraints. - Qingfu Zhang 001; Jianyong Sun; Gaoxi Xiao; Edward P. K. Tsang (IEEE Trans. Syst. Man Cybern. Part B, 2007)

Modeling Regularity to Improve Scalability of Model-Based Multiobjective Optimization Algorithms. - Yaochu Jin; Aimin Zhou; Qingfu Zhang 001; Bernhard Sendhoff; Edward P. K. Tsang (Multiobjective Problem Solving from Nature, 2008)

Tchebycheff approximation in Gaussian Process model composition for multi-objective expensive black box. - Wudong Liu; Qingfu Zhang 001; Edward P. K. Tsang; Botond Virginas (IEEE Congress on Evolutionary Computation, 2008)

On the partitioning of dynamic scheduling problems -: assigning technicians to areas. - Yossi Borenstein; Nazaraf Shah; Edward P. K. Tsang; Raphaël Dorne; Abdullah Alsheddy; Christos Voudouris (GECCO, 2008)

DEPICT: A high-level formal language for modeling constraint satisfaction problems. - Abdulwahed M. Abbas; Edward P. K. Tsang; Ahmad H. Nasri (Int. J. Autom. Comput., 2008)

Evolving decision rules to predict investment opportunities. - Alma Lilia García-Almanza; Edward P. K. Tsang (Int. J. Autom. Comput., 2008)

Computational intelligence determines effective rationality. - Edward P. K. Tsang (Int. J. Autom. Comput., 2008)

Intelligent Resource Exchanges: Solutions and Pathways in a Workforce Allocation Problem. - Botond Virginas; Marian Florin Ursu; Edward P. K. Tsang; Gilbert Owusu; Christos Voudouris (J. Univers. Comput. Sci., 2008)

Retractable contract network for empowerment in workforce scheduling. - Edward P. K. Tsang; Timothy Gosling; Botond Virginas; Christos Voudouris; Gilbert Owusu; Wudong Liu (Multiagent Grid Syst., 2008)

Evolutionary Learning of the Optimal Pricing Strategy in an Artificial Payment Card Market. - Biliana Alexandrova-Kabadjova; Edward P. K. Tsang; Andreas Krause 002 (Natural Computing in Computational Finance, 2008)

Fuzzy clustering based Gaussian Process Model for large training set and its application in expensive evolutionary optimization. - Wudong Liu; Qingfu Zhang 001; Edward P. K. Tsang; Botond Virginas (IEEE Congress on Evolutionary Computation, 2009)

The degree of dynamism for workforce scheduling problem with stochastic task duration. - Yossi Borenstein; Abdullah Alsheddy; Edward P. K. Tsang; Nazaraf Shah (GECCO (Companion), 2009)

Evolutionary Computation in Finance Forecasting. - Edward P. K. Tsang (IJCCI, 2009)

Intelligent Agent Based Workforce Empowerment. - Nazaraf Shah; Edward P. K. Tsang; Yossi Borenstein; Raphaël Dorne; Anne Liret; Christos Voudouris (KES-AMSTA, 2009)

A constraint-guided method with evolutionary algorithms for economic problems. - Nanlin Jin; Edward P. K. Tsang; Jin Li (Appl. Soft Comput., 2009)

Forecasting - where computational intelligence meets the stock market. - Edward P. K. Tsang (Frontiers Comput. Sci. China, 2009)

Risk analysis in complex systems: intelligent systems in finance. - Antoaneta Serguieva; Guglielmo Maria Caporale; Edward P. K. Tsang; Ronald R. Yager (Intell. Syst. Account. Finance Manag., 2009)

An Heterogeneous, Endogenous and Coevolutionary GP-Based Financial Market. - Serafín Martínez-Jaramillo; Edward P. K. Tsang (IEEE Trans. Evol. Comput., 2009)

Editorial Special Issue: Computational Finance and Economics. - Edward P. K. Tsang; Pedro Isasi (IEEE Trans. Evol. Comput., 2009)

Using GP to evolve decision rules for classification in financial data sets. - Pu Wang; Edward P. K. Tsang; Thomas Weise 001; Ke Tang 001; Xin Yao 001 (IEEE ICCI, 2010)

Guided Pareto Local Search based frameworks for biobjective optimization. - Abdullah Alsheddy; Edward P. K. Tsang (IEEE Congress on Evolutionary Computation, 2010)

EDDIE for investment opportunities forecasting: Extending the search space of the GP. - Michael Kampouridis; Edward P. K. Tsang (IEEE Congress on Evolutionary Computation, 2010)

MOEA/D with NBI-style Tchebycheff approach for portfolio management. - Qingfu Zhang 001; Hui Li 020; Dietmar Maringer; Edward P. K. Tsang (IEEE Congress on Evolutionary Computation, 2010)

Constraint-Directed Search in Computational Finance and Economics. - Edward P. K. Tsang (CP, 2010)

Microstructure Dynamics and Agent-Based Financial Markets. - Shu-Heng Chen; Michael Kampouridis; Edward P. K. Tsang (MABS, 2010)

Testing the Dinosaur Hypothesis under Empirical Datasets. - Michael Kampouridis; Shu-Heng Chen; Edward P. K. Tsang (PPSN (2), 2010)

Applying Computational Intelligence: How to Create Value (Kordon, A.K.; 2010) [Book Review]. - Edward P. K. Tsang (IEEE Comput. Intell. Mag., 2010)

On the partitioning of dynamic workforce scheduling problems. - Yossi Borenstein; Nazaraf Shah; Edward P. K. Tsang; Raphaël Dorne; Abdullah Alsheddy; Christos Voudouris (J. Sched., 2010)

Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model. - Qingfu Zhang 001; Wudong Liu; Edward P. K. Tsang; Botond Virginas (IEEE Trans. Evol. Comput., 2010)

A Memetic Genetic Programming with decision tree-based local search for classification problems. - Pu Wang; Ke Tang 001; Edward P. K. Tsang; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2011)

Minimal agent-based model for the origin of trading activity in Foreign exchange market. - Monira Essa Aloud; Edward P. K. Tsang; Alexandre Dupuis; Richard Olsen (CIFEr, 2011)

Investigating the effect of different GP algorithms on the non-stationary behavior of financial markets. - Michael Kampouridis; Shu-Heng Chen; Edward P. K. Tsang (CIFEr, 2011)

Market Microstructure: Can Dinosaurs Return? A Self-Organizing Map Approach under an Evolutionary Framework. - Michael Kampouridis; Shu-Heng Chen; Edward P. K. Tsang (EvoApplications (2), 2011)

Using Hyperheuristics under a GP Framework for Financial Forecasting. - Michael Kampouridis; Edward P. K. Tsang (LION, 2011)

Bargaining strategies designed by evolutionary algorithms. - Nanlin Jin; Edward P. K. Tsang (Appl. Soft Comput., 2011)

A complete and an incomplete algorithm for automated guided vehicle scheduling in container terminals. - Hassan Rashidi; Edward P. K. Tsang (Comput. Math. Appl., 2011)

Market structure and information in payment card markets. - Biliana Alexandrova-Kabadjova; Edward P. K. Tsang; Andreas Krause 002 (Int. J. Autom. Comput., 2011)

Competition is Bad for Consumers: Analysis of an Artificial Payment Card Market. - Biliana Alexandrova-Kabadjova; Edward P. K. Tsang; Andreas Krause 002 (J. Adv. Comput. Intell. Intell. Informatics, 2011)

Profit-Maximizing Strategies for an Artificial Payment Card Market. Is Learning Possible? - Biliana Alexandrova-Kabadjova; Edward P. K. Tsang; Andreas Krause 002 (J. Intell. Learn. Syst. Appl., 2011)

Empowerment scheduling for a field workforce. - Abdullah Alsheddy; Edward P. K. Tsang (J. Sched., 2011)

An Interval Type-2 Fuzzy Logic System for the Modeling and Prediction of Financial Applications. - Dario Bernardo; Hani Hagras; Edward P. K. Tsang (AIS, 2012)

Using a genetic algorithm as a decision support tool for the deployment of Fiber Optic Networks. - Michael Kampouridis; Tim Glover; Ali Rais Shaghaghi; Edward P. K. Tsang (IEEE Congress on Evolutionary Computation, 2012)

An interval type-2 Fuzzy Logic based system for model generation and summarization of arbitrage opportunities in stock markets. - Dario Bernardo; Hani Hagras; Edward P. K. Tsang (UKCI, 2012)

Investment Opportunities Forecasting: Extending the Grammar of a GP-based Tool. - Michael Kampouridis; Edward P. K. Tsang (Int. J. Comput. Intell. Syst., 2012)

Market Microstructure: A Self-Organizing Map Approach to Investigate Behavior Dynamics under an Evolutionary Environment. - Michael Kampouridis; Shu-Heng Chen; Edward P. K. Tsang (Natural Computing in Computational Finance (4), 2012)

Metaheuristics application on a financial forecasting problem. - Dafni Smonou; Michael Kampouridis; Edward P. K. Tsang (IEEE Congress on Evolutionary Computation, 2013)

A Genetic Type-2 fuzzy logic based system for financial applications modelling and prediction. - Dario Bernardo; Hani Hagras; Edward P. K. Tsang (FUZZ-IEEE, 2013)

On the investigation of hyper-heuristics on a financial forecasting problem. - Michael Kampouridis; Abdullah Alsheddy; Edward P. K. Tsang (Ann. Math. Artif. Intell., 2013)

A genetic type-2 fuzzy logic based system for the generation of summarised linguistic predictive models for financial applications. - Dario Bernardo; Hani Hagras; Edward P. K. Tsang (Soft Comput., 2013)

Combining different meta-heuristics to improve the predictability of a Financial Forecasting algorithm. - Babatunde Aluko; Dafni Smonou; Michael Kampouridis; Edward P. K. Tsang (CIFEr, 2014)

Guided Fast Local Search for speeding up a financial forecasting algorithm. - Ming Shao; Dafni Smonou; Michael Kampouridis; Edward P. K. Tsang (CIFEr, 2014)

Hybridisation of decomposition and GRASP for combinatorial multiobjective optimisation. - Ahmad Alhindi; Qingfu Zhang 001; Edward P. K. Tsang (UKCI, 2014)

Multiobjective genetic programming for maximizing ROC performance. - Pu Wang; Ke Tang 001; Thomas Weise 001; Edward P. K. Tsang; Xin Yao 001 (Neurocomputing, 2014)

Forecasting directional changes in the FX markets. - Amer Bakhach; Edward P. K. Tsang; Hamid Reza Jalalian (SSCI, 2016)

Backlash Agent: A trading strategy based on Directional Change. - Amer Bakhach; Edward P. K. Tsang; Wing Lon Ng; Venkata L. Raju Chinthalapati (SSCI, 2016)

Developing sustainable trading strategies using directional changes with high frequency data. - Ailun Ye; Venkata L. Raju Chinthalapati; Antoaneta Serguieva; Edward P. K. Tsang (IEEE BigData, 2017)

Constructing a bellwether theory: Regime change detection using directional change. - Jun Chen 014; Edward P. K. Tsang (CEEC, 2017)

Directional Changes: A New Way to Look at Price Dynamics. - Edward P. K. Tsang (CICBA (1), 2017)

Modeling the High-Frequency FX Market: An Agent-Based Approach. - Monira Essa Aloud; Maria Fasli; Edward P. K. Tsang; Alexander Dupuis; Richard Olsen (Comput. Intell., 2017)

Intelligent Dynamic Backlash Agent: A Trading Strategy Based on the Directional Change Framework. - Amer Bakhach; Venkata L. Raju Chinthalapati; Edward P. K. Tsang; Abdul Rahman El Sayed 001 (Algorithms, 2018)

Classification of Normal and Abnormal Regimes in Financial Markets. - Jun Chen 014; Edward P. K. Tsang (Algorithms, 2018)

TSFDC: A trading strategy based on forecasting directional change. - Amer Bakhach; Edward P. K. Tsang; Venkata L. Raju Chinthalapati (Intell. Syst. Account. Finance Manag., 2018)

EB-GLS: an improved guided local search based on the big valley structure. - Jialong Shi; Qingfu Zhang 001; Edward P. K. Tsang (Memetic Comput., 2018)

Guest Editorial Special Issue on Data-Driven Computational Intelligence for e-Governance, Socio-Political, and Economic Systems. - Faiyaz Doctor; Edgar Galván López; Edward P. K. Tsang (IEEE Trans. Emerg. Top. Comput. Intell., 2018)

Regime Change Detection Using Directional Change Indicators in the Foreign Exchange Market to Chart Brexit. - Edward P. K. Tsang; Jun Chen 014 (IEEE Trans. Emerg. Top. Comput. Intell., 2018)

Guided Local Search. - Abdullah Alsheddy; Christos Voudouris; Edward P. K. Tsang; Ahmad Alhindi (Handbook of Heuristics, 2018)

Tacking Regime Changes in the Markets. - Jun Chen 014; Edward P. K. Tsang (CIFEr, 2019)

Special Issue on Algorithms in Computational Finance. - Venkata L. Raju Chinthalapati; Edward P. K. Tsang (Algorithms, 2019)

Measuring relative volatility in high-frequency data under the directional change approach. - Shengnan Li; Edward P. K. Tsang; John O'Hara (Intell. Syst. Account. Finance Manag., 2022)