Name
Affiliation
Papers
EDWARD P. K. TSANG
Univ Essex, Dept Comp Sci, Colchester CO4 3SQ, Essex, England
77
Collaborators
Citations 
PageRank 
81
899
87.77
Referers 
Referees 
References 
1672
780
642
Search Limit
1001000
Title
Citations
PageRank
Year
Special Issue on Algorithms in Computational Finance00.342019
Trading Algorithms Built with Directional Changes00.342019
Tacking Regime Changes in the Markets00.342019
Classification of Normal and Abnormal Regimes in Financial Markets.10.402018
Intelligent Dynamic Backlash Agent: A Trading Strategy Based on the Directional Change Framework.00.342018
TSFDC: A trading strategy based on forecasting directional change10.402018
EB-GLS: An Improved Guided Local Search Based on the Big Valley Structure.20.382018
Constructing a bellwether theory: Regime change detection using directional change00.342017
Hybridisation of decomposition and GRASP for combinatorial multiobjective optimisation00.342014
Guided Fast Local Search for speeding up a financial forecasting algorithm20.362014
On the investigation of hyper-heuristics on a financial forecasting problem80.642013
Using a genetic algorithm as a decision support tool for the deployment of Fiber Optic Networks00.342012
Minimal agent-based model for the origin of trading activity in Foreign exchange market.20.412011
Investigating the effect of different GP algorithms on the non-stationary behavior of financial markets00.342011
Empowerment scheduling for a field workforce.90.562011
Profit-Maximizing Strategies for an Artificial Payment Card Market. Is Learning Possible?00.342011
A Memetic Genetic Programming with decision tree-based local search for classification problems130.712011
A complete and an incomplete algorithm for automated guided vehicle scheduling in container terminals100.572011
Competition Is Bad For Consumers: Analysis Of An Artificial Payment Card Market20.552011
Guided Pareto Local Search based frameworks for biobjective optimization120.562010
Using GP to Evolve Decision Rules for Classification in Financial Data Sets30.422010
MOEA/D with NBI-style Tchebycheff approach for portfolio management311.122010
Constraint-directed search in computational finance and economics00.342010
EDDIE for investment opportunities forecasting: Extending the search space of the GP211.542010
Forecasting - where computational intelligence meets the stock market20.402009
Editorial Special Issue: Computational Finance and Economics110.802009
A constraint-guided method with evolutionary algorithms for economic problems70.582009
An heterogeneous, endogenous and coevolutionary GP-based financial market70.692009
Evolutionary Computation in Finance Forecasting00.342009
Evolving decision rules to predict investment opportunities120.622008
Evolving decision rules to predict investment opportunities120.622008
Retractable contract network for empowerment in workforce scheduling30.472008
Intelligent Resource Exchanges: Solutions and Pathways in a Workforce Allocation Problem00.342008
Computational Intelligence Determines Effective Rationality50.512008
Repository method to suit different investment strategies30.462007
Towards a practical engineering tool for rostering10.362007
Detection of stock price movements using chance discovery and genetic programming30.532007
Combinations of estimation of distribution algorithms and other techniques120.622007
Combinations of estimation of distribution algorithms and other techniques120.622007
Incentive method to handle constraints in evolutionary algorithms with a case study20.612006
DEPICT: A High-Level Formal Language For Modeling Constraint Satisfaction Problems30.392006
Simplifying Decision Trees Learned by Genetic Programming70.482006
Co-Adaptive Strategies For Sequential Bargaining Problems With Discount Factors And Outside Options70.582006
The repository method for chance discovery in financial forecasting40.482006
Wind-Tunnel Testing for strategy and market design00.342006
Tackling the Simple Supply Chain Model00.342006
DE/EDA: A new evolutionary algorithm for global optimization.1057.212005
Co-evolutionary Strategies for an Alternating-Offer Bargaining Problem30.632005
Population Based Incremental Learning With Guided Mutation Versus Genetic Algorithms: Iterated Prisoners Dilemma40.552005
A model-based evolutionary algorithm for bi-objective optimization321.452005
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