The more we can discover about the mathematical properties of generic swarm processing, the better our understanding will be of both artificial complexity and biological complexity.
我们能够发现的通用群处理过程的数学属性越多，我们对仿生复杂性与生物复杂性的理解就越好。
Particle swarm optimization (PSO) is a new stochastic optimization technique originating from artificial life and evolutionary computation.
粒子群优化(PSO)算法是一类新兴的随机优化技术，其思想来源于人工生命和演化计算理论。
Based on the optimization by artificial fish swarm, an artificial fish swarm algorithm (AFSA) suitable to transmission network planning is proposed.
以人工鱼群寻优思想为基础，提出了适用于输电网网架规划的人工鱼群算法。
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