Illumined by phenomenon of co-evolution in nature, particle swarm optimization is combined with co-evolution, a multi-particle swarm co-evolution algorithm is presented.
受自然界共生现象的启发，将微粒群算法和协同进化相结合，提出了一种多微粒群协同进化算法。
A complete multi-particle collision rule was established, and a method for dealing with viscous and thermal boundary was provided in the present model.
采用二维九速的格子气模型模拟热声振荡，建立了完备的多体碰撞规则，提供了粘性和热边界的处理方法。
A complete multi-particle collision rule was established, and a method for dealing with viscous and thermal boundary was provided in the present model.
采用二维九速的格子气模型模拟热声振荡，建立了完备的多体碰撞规则，提供了粘性和热边界的处理方法。
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