Algorithmic mechanism design (extended abstract)
STOC '99 Proceedings of the thirty-first annual ACM symposium on Theory of computing
Game theory perspectives on client: vendor relationships in offshore software outsourcing
Proceedings of the 2006 international workshop on Economics driven software engineering research
Algorithmic Game Theory
Computer science and game theory
Communications of the ACM - Designing games with a purpose
A survey on game theory applications in wireless networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
A refactoring method for cache-efficient swarm intelligence algorithms
Information Sciences: an International Journal
An application of swarm intelligence to distributed image retrieval
Information Sciences: an International Journal
A modified Artificial Bee Colony algorithm for real-parameter optimization
Information Sciences: an International Journal
A single pass algorithm for clustering evolving data streams based on swarm intelligence
Data Mining and Knowledge Discovery
A mixed-discrete Particle Swarm Optimization algorithm with explicit diversity-preservation
Structural and Multidisciplinary Optimization
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In this paper, we established a relationship between particle swarm optimisation algorithms and game theory. On that basis, a swarm intelligence-based search mechanism is proposed and applied to solving the attribute reduction problem in the context of rough sets. The proposed attribute reduction algorithm can set up different participatory groups and game strategies, construct corresponding pay utility matrix, and produce optimal combinations through gaming procedure. Numerical experiments on a number of UCI datasets show the proposed game strategies-based reduction algorithm is superior to particle swarm optimisation, tabu search, gene algorithm and PSO with mutation operator in terms of solution quality, and has lower computational cost.