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.
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.
蚁群算法是一种进化算法，适合解决组合优化问题，指派问题是组合优化问题中的一个分支。
Ant system algorithm is a kind of evolutionary algorithms, which is efficient in solving combinatorial optimization problem.
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.
采用进化优化算法——蚁群优化算法来求解机组最优启停问题。
The optimal unit commitment is solved via the Ant Colony Optimization algorithm in this paper.
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.
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.
将量子群进化算法(QEA)与蚁群系统(acs)进行融合，提出一种新的量子蚁群算法(QACA)。
The algorithm is based on the combination of quantum evolutionary algorithm (QEA) and ant colony system (ACS), a new algorithm, quantum ant colony algorithm (QACA) is proposed.
但是与其它仿生学进化算法相比，蚁群算法存在搜索时间长、易陷入局部最优等缺点。
But compare to other bionics evolution algorithms ACO has disadvantages such as long-time searching and local best solution and so on.
这类算法主要包括进化算法(EA)、粒子群算法(PSO)、人工免疫系统(ais)和蚁群算法(aco)等等。
Such algorithms include evolutionary algorithm (EA), particle swarm optimization (PSO), artificial immune system (AIS) and ant colony optimization (ACO) and so on.
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.
基于蚁群进化算法，蚁群算法连续空间优化搜索扩展。
Based on ant colony evolutionary algorithm, a colony algorithm is extended for searching continuous space optimization.
基于蚁群进化算法，蚁群算法连续空间优化搜索扩展。
Based on ant colony evolutionary algorithm, a colony algorithm is extended for searching continuous space optimization.
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