人们以此来模拟进化过程。
戴默认为，人类设计师可以使用能够模拟进化的软件。
Software simulations that can model evolution could be used by human designers, Mr. Damer argued.
第三章主要讲述了模拟进化计算的执行技巧。
Third chapter mainly narrated the simulation evolution computation to carry out the skill.
蚁群算法是一种模拟进化算法，具有很强的全局搜索能力。
The ant colony optimization algorithm is a novel simulated evolution algorithm featuring a robust global searching ability.
蚁群算法是一种模拟进化算法，该算法具有许多优越的性质。
The ant colony algorithm is a novel simulated evolutionary algorithm which shows many good properties.
通过对几个标准函数进行模拟进化，说明该方法是合理、有效的。
They shows that this method is reasonable and feasible through simulating evolution with several remark functions.
蚁群算法是一种新型的模拟进化算法，重点始于组合优化问题的求解。
Ant colony algorithm is a brand-new type of simulative evolution algorithm, which focus on its solution to conform optimized question.
人工蚁群算法是一种新型的模拟进化算法，也是一种随机型智能搜索寻优算法。
Artificial ant algorithm is a novel simulated evolutionary algorithm, also a newly stochastic and intellectual searching optimization.
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.
蚁群算法是一种新型的模拟进化算法，为求解复杂的组合优化问题提供了一种新的思路。
Ant colony system is a novel simulated evolutionary algorithm, which provides a new method for complicated combinatorial optimization problems.
模拟进化和模拟退火是解决全局优化问题的随机搜索技术，它们在工程领域有着广泛的应用。
Simulated evolution and simulated annealing are two stochastic search algorithms for solving the global optimization problems. They have been widely used in different engineering areas.
蚁群算法是一种新颖的求解复杂组合优化问题的模拟进化算法，它具有典型的群体智能的特性。
Ant Colony algorithm is a novel simulated evolvement algorithm solving complicated combinatorial optimization problem and its typical feature is swarm intelligence.
蚁群算法作为一种新的模拟进化算法，由于具有较强的发现解的能力，在许多领域得到应用。
Ants system is a kind of simulated evolutionary algorithm, which has applications in many fields with the strong ability of finding good solutions.
摘要：蚁群算法是一种新型的启发式模拟进化算法，为求解各种复杂的组合问题提供了一种新的思路。
Absrtact: Ant colony algorithm is a novel heuristic simulated evolutionary algorithm, provides a new idea for solving complex problems of combination.
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。
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.
电力系统中有许多混合优化问题，采用常用方法求解难以奏效，而模拟进化方法是一种新型有效的优化方法。
There exist a lot of composite optimization problems in power systems, which are difficult to be solved by usual methods.
具体表现在：由于模拟进化算法的随机性，不能保证每次计算都能收敛到全局最优解，同时还存在“早熟”现象；
The drawbacks of simulated evolutionary algorithms are that the global optimality can not be always guaranteed because of randomicity and premature con vergence.
蚁群算法是一种模拟进化算法，在挖掘特定用户群感兴趣的访问模式时，采用蚁群算法得到的模式会比较客观准确。
Ant colony algorithm is one of the simulation evolution algorithms, when mining the visiting pattern of the special crowd interested in, the pattern we got can be objective a.
他认为，只有在能够建立一个完全人工模拟自然界的模型时，人们才能真正了解细胞进化的过程。
He thinks that a true understanding of the processes involved will be demonstrated only when it is possible to build a simulation that does exactly-but artificially-what happens in nature.
科学家们通过软件模拟达尔文的进化论，实现了对未来航天器离子发动机的优化设计。
An ion engine designed to power future spacecraft has achieved its optimal design via software that simulates Darwinian evolution.
这九律均为组织原则，在如生物进化，模拟城市这样变化莫测的运作系统中都存在着这样的原则。
These nine laws are the organizing principles that can be found operating in systems as diverse as biological evolution and SimCity.
本周二，日本科学家宣称他们利用基因工程模拟的“进化”制造出了一只能像鸟儿一样鸣叫的老鼠，他们希望这项结果可以给人类语言的起源研究提供一些线索。
Japanese scientists said Tuesday they had produced a mouse that tweets like a bird in a genetically engineered "evolution" which they hope will shed light on the origins of human language.
为了模拟数字进化，EvoGrid(进化技术网络)将会使用第二个程序：Gromacs(分子动力学软件)。这是由荷兰赫罗纳大学研制出用来模仿分子相互作用的。
To simulate digital evolution, the EvoGrid will use a second program, Gromacs, developed at the University of Groningen in the Netherlands, to model molecular interactions.
这种巧妙的进化理论认为做梦起着一种生物适应性功能，因为在梦境中我们的祖先可以模拟解决难题的策略，来应对清醒时现实世界的威胁。
This clever evolutionary theory holds that dreaming serves a biologically adaptive function because it allowed our ancestors to simulate problem-solving strategies for genuine, waking life threats.
遗传算法(GA)是模拟自然界生物进化机制的计算模型，是一种全局优化搜索方法。
As a global optimized search means, Genetic Algorithms (GA) are computational models simulating the evolutionary mechanism of nature.
遗传算法是一种模拟自然进化而提出的简单高效的优化组合方法。
Genetic algorithms is an efficiently combined and optimized method by simulating the nature evolution.
遗传算法是一种模拟自然进化而提出的简单高效的优化组合方法。
Genetic algorithms is an efficiently combined and optimized method by simulating the nature evolution.
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