(1) Computer Department, East China Normal University, 200062 Shanghai, China;(2) Computer Department, Linyi Normal University, 276000 Linyi, Shandong, China
Abstract:
This paper discusses the issue of pollution reduction in metropolises by means of intelligent negotiation in multi-agent systems. For situations of complete information, it gives a stochastic hill-climbing search algorithm for computing the pollution-reduction solutions; For situations of incomplete information, it puts forward a genetic algorithm for computing the best solutions for every plants subjectively and proposes market-mechanism-based algorithm for computing the emission-redistribution solutions objectively.
