讨论比较了四种现代优化方法的基本原理和内容。
In this paper, the principles of several modern optimization methods with their analysis processes are compared.
将不同的现代优化方法应用于其中，可以得到不同组合的双层算法。
In each level, a hybrid algorithm composed of a modern optimization method and a fast algorithm is developed.
粒子群算法是基于群集智能、受到人工生命研究结果的启发而提出的一种现代优化方法。
Based on the swarm intelligence, Particle swarm optimization (PSO) algorithm is a kind of modern optimization method inspired by the research of the artificial life.
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