An automated negotiation mechanism based on co-evolution and game theory
Proceedings of the 2002 ACM symposium on Applied computing
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Finding Multimodal Solutions Using Restricted Tournament Selection
Proceedings of the 6th International Conference on Genetic Algorithms
Classification of Various Neighborhood Operations for the Nurse Scheduling Problem
ISAAC '00 Proceedings of the 11th International Conference on Algorithms and Computation
Exploring bidding strategies for market-based scheduling
Decision Support Systems - Special issue: The fourth ACM conference on electronic commerce
The parallel Nash Memory for asymmetric games
Proceedings of the 8th annual conference on Genetic and evolutionary computation
A novel method for automatic strategy acquisition in N-player non-zero-sum games
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Co-evolvability of games in coevolutionary genetic algorithms
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
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This paper examines which elements are necessary for coevolutionary genetic algorithms to evolve cooperative strategies under pure egoistic considerations. Since competitions and cooperations coexist in an auction-based manpower allocation problem, the problem is adopted for further investigation. To alleviate analytical burden, the problem is abstracted to a resource-bidding game under the Nash game framework. A mathematical model for the resource-bidding game is defined and several special cases are illustrated. One of these special cases, named c-mNE, is further investigated due to the existance of cooperative modes. Various kinds of egoistic fitness functions and evolutionary mechanisms are experimented on c-mNE. Based on the experimental results, this paper suggests that coevolutionary mechanisms which properly eliminate aggressive strategies and preserve cooperative strategies can evolve cooperative modes under the pure egoistic assumption.