Items where Author is "Tsang, Edward"

Article

Jin, Nanlin and Tsang, Edward (2011) Bargaining strategies designed by evolutionary algorithms. Applied Soft Computing, 11 (8). pp. 4701-4712. ISSN 1568-4946

Jin, Nanlin, Tsang, Edward and Li, Jin (2009) A constraint-guided method with evolutionary algorithms for economic problems. Applied Soft Computing, 9 (3). pp. 924-935. ISSN 1568-4946

Book Section

Jin, Nanlin and Tsang, Edward (2006) Co-adaptive Strategies for Sequential Bargaining Problems with Discount Factors and Outside Options. In: 2006 IEEE International Conference on Evolutionary Computation. IEEE, Piscataway, NJ, pp. 2149-2156. ISBN 0-7803-9487-9

Gosling, Timothy, Jin, Nanlin and Tsang, Edward (2006) Games, Supply Chains, and Automatic Strategy Discovery Using Evolutionary Computation. In: Handbook of Research on Nature-Inspired Computing for Economics and Management. IGI Global, Hershey, PA, pp. 572-588. ISBN 978-1-59140-9847

Tsang, Edward and Jin, Nanlin (2006) Incentive Method to Handle Constraints in Evolutionary Algorithms with a Case Study. In: Genetic programming : 9th European conference, EuroGP 2006, Budapest, Hungary, April 10-12, 2006 : proceedings. Springer, London, pp. 133-144. ISBN 978-3-540-33143-8

Jin, Nanlin and Tsang, Edward (2005) Relative Fitness and Absolute Fitness for Co-evolutionary Systems. In: Genetic Programming. Springer, London, pp. 331-340. ISBN 978-3-540-25436-2

Report

Gosling, Timothy, Jin, Nanlin and Tsang, Edward (2004) Population Based Incremental Learning Versus Genetic Algorithms: Iterated Prisoners Dilemma. Technical Report. University of Essex.

Conference or Workshop Item

Jin, Nanlin and Tsang, Edward (2005) Using Evolutionary Algorithms to study Bargaining Problems. In: IEEE Symposium on Computational Intelligence and Games, 4 - 6 April 2005, Essex University.

Jin, Nanlin and Tsang, Edward (2005) Co-evolutionary Strategies for an Alternating-Offer Bargaining Problem. In: IEEE Symposium on Computational Intelligence and Games, 4 - 6 April 2005, Essex University.

Gosling, Timothy, Jin, Nanlin and Tsang, Edward (2005) Population Based Incremental Learning with Guided Mutation Versus Genetic Algorithms: Iterated Prisoners Dilemma. In: Congress on Evolutionary Computation, 2 - 5 September 2005, Edinburgh, Scotland.