曾炳均 Edward Tsang Profile 香港中文大学工商管理 ( 财务 ) 学士 英国 Essex 电脑博士 人工智能应用 约束满足 优化 智能应用于财务、经济 –Founder, IEEE CFETC, Co-founder, CCFEA and CICCFETCCCFEA CIC Technologies: heuristic search, evolutionary computation, data mining

Constraint Satisfaction & Optimization Core technologies for transportation optimization –Guided Local Search was used in ILOG Solver’s vehicle routing package, Dispatcher. –BT: work force scheduling problem. –Honda: Multi-objective optimization Sponsors: BT, Honda Europe

Computational Finance & Economics Advanced computer science applied to finance –More than using spreadsheets or computerisation of accounting systems Research at Essex: –Forecasting –Automated Bargaining (game theory) –Economic Wind-tunnel testing (market design) Affiliated Centre: Centre for Computational Finance & Economic Agents (CCFEA)CCFEA –Supported by City Associates, incl. HSBCCity Associates Sponsors: Sharescope, BT

Research Profile, Edward Tsang ApplicationTechnology Finite Choices Decision Support, e.g. Assignment, Scheduling, Routing Constraint Satisfaction, Optimisation, Heuristic Search (Guided Local Search) Financial ForecastingGenetic Programming Automated BargainingGenetic Programming Wind Tunnel Testing for designing markets and finding winning strategies Mathematical Modelling, Machine Learning, Experimental Design Portfolio OptimisationMulti-objectives Optimisation Business Applications of Artificial Intelligence

Supplementary Information Edward Tsang

Current Activities – Edward Tsang Current Projects: EDDIE for Forecasting – towards more complex trading strategiesEDDIE for Forecasting Automated bargaining – finding Nash equilibrium strategiesAutomated bargaining Artificial markets – conditions for stylised factsArtificial markets Credit cards market – designing bank strategies and Government policiesCredit cards market Market-based scheduling – for BT work force schedulingMarket-based scheduling Evolving middlemen strategies – for simple supply chains (BT sponsored)Evolving middlemen strategies Chance discovery – data mining for scarce opportunitiesChance discovery Port automated – vehicles schedulingPort automated Multi-objective optimisation – for Honda’s industrial design Portfolio optimisation by heuristic search Constraint Satisfaction & Optimisation Computational Finance Research Groups: Affiliations: Professor Deputy Director

Background, Edward Tsang Education: BSc in Business Administration, Chinese University of Hong Kong MSc, PhD in Computer Science, University of Essex Commonwealth Secretariat Past employments: Consultancy: Selected external positions: Editorialship, including: –IEEE Transactions on Evolutionary ComputationIEEE Transactions on Evolutionary Computation –Journal of SchedulingJournal of Scheduling –CONSTRAINTSCONSTRAINTS Chair, IEEE Computational Finance and Economics Technical Committee, 2004 & 2005Computational Finance and Economics Technical Committee Co-chair, IEEE Taskforce on Portfolio Optimisation, 2006-

Foundations of Constraint Satisfaction First book to define the scope of constraint satisfaction –Published 1993 Arguably the most rigorous book in constraint satisfaction All major concepts defined in First Order Predicate Calculus –Precise, unambiguous –Little room for error