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.
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.
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.
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.
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.
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.
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.
文化算法分别从微观（种群空间）和宏观（信念空间）两个层面上模拟文化的双重进化继承过程。
This framework depicts cultural evolution as a process of dual inheritance from both a micro-evolutionary level(population space) and a macro-evolutionary level(belief space).
进化算法是一类模拟生物进化过程和机制求解优化问题的自适应人工智能技术。
Evolutionary algorithm is a type of adaptive artificial intelligent techniques that simulate evolutionary process and mechanism to solve optimization problems.
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。
Evolution strategies as global optimization search methods, are computing models simulating the evolutionary mechanisms of nature.
提出了基于协同进化遗传算法的自动谈判算法，模拟了有限期轮流出价谈判协议中的策略学习机制。
This paper proposes an automatic negotiation algorithm based on co-evolutionary algorithm, and simulates the strategy learning mechanism in the finite horizon alternating offer negotiation protocol.
提出了基于协同进化遗传算法的自动谈判算法，模拟了有限期轮流出价谈判协议中的策略学习机制。
This paper proposes an automatic negotiation algorithm based on co-evolutionary algorithm, and simulates the strategy learning mechanism in the finite horizon alternating offer negotiation protocol.
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