Ant Colony optimization (ACO) is a new-style simulating evolution algorithm. The behavior of real ant colonies foraging for food is simulated and used for solving optimization problems.
蚁群算法是一种新型的模拟进化算法，它通过模拟蚁群在觅食过程中寻找最短路径的方法来求解优化问题。
The introduction of simulating annealing algorithm solves the difficulty in combination optimization effectively.
引入模拟退火算法后，有效地解决了这一组合优化的难题。
Taking optimization design of adjustor as an example, the process of constructing object function, defining initial value and simulating dynamic system was discussed.
并以调节器参数最优化设计为例，论述了目标函数构造、初值确定、动态系统仿真分析的过程。
The computer simulating technology applying to optimization control of pharmaceutical processes is a good example that traditional industry is reformed with information technology.
把计算机数字仿真技术运用于生产过程控制系统中，实现生产过程的最优化控制，是信息技术改造传统产业的一个范例。
Finally, a new dynamic simulating method for electromagnetic repulsion mechanism was deduced, based on which comprehensive optimization design of the repulsion mechanism can be achieved.
最后给出一种新的电磁推力机构动态分析的方法，借此可以方便地实现电磁推力机构的综合优化设计。
Evolution strategies as global optimization search methods, are computing models simulating the evolutionary mechanisms of nature.
进化策略算法是一种模拟自然界生物进化过程的全局优化方法。
Evolutionary algorithm called evolutionary algorithms is a kind of stochastic optimization methods by simulating natural evolutionary process.
进化算法也称演化算法，是一种模拟自然进化过程的随机优化方法。
By simulating the antibody search mechanism, and combining the immune network theory, a new immune learning algorithm for multi-modal function optimization was presented.
模拟抗体搜索机制，结合免疫网络理论，提出一种新的优化算法。
Optimization algorithm based on the swarm intelligence is a simulated evolutionary method that simulating the behaviors of social insects searching for food and building of nest.
基于群集智能的优化算法是一种仿生自然界动物昆虫觅食、筑巢行为的模拟进化算法。
Optimization algorithm based on the swarm intelligence is a simulated evolutionary method that simulating the behaviors of social insects searching for food and building of nest.
基于群集智能的优化算法是一种仿生自然界动物昆虫觅食、筑巢行为的模拟进化算法。
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