1、

Based on above-mentioned hybrid improved ACO, a chaos improved ACO is provided referencing to chaos theory.

在上述混合改进蚁群算法的基础上,引入混沌理论,提出了一种混沌改进蚁群算法。

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2、

Realize DN-ACO target tracking algorithm in simulation platform and verify the energy efficiency of the algorithm.

在该仿真平台上实现了DN -ACO 目标跟踪算法,并验证算法的能量有效性.

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3、

ACO is used to solve combination optimization ( CO ) problems and gets a good effect.

算法应用于解决组合优化问题,取得了良好的效果.

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4、

A hybrid algorithm for unit commitment problem optimization ( ACO ) and particle swarm optimization ( PSO ) is proposed.

提出了一种用于求解机组组合优化问题的 蚁 群粒子群混合优化算法.

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5、

The Application of ACO and Coding Method in Sequence Analysis

蚁群算法和编码理论在序列分析中的应用

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6、

Research on the Web Data Mining Model of Classification Based on ACO

基于蚁群优化在Web数据挖掘分类模型的实现

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7、

Study on a New method of Solving TSP Based on Parallel ACO

一种新的基于并行蚁群算法的旅行商问题求解方法的研究

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8、

During the ACO system emulation experiment, many uncertain factors of pheromone updating are found.

在对蚁群算法进行系统仿真实验过程中, 发现存在多种不确定因素影响信息素的更新.

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9、

Early evidence of water-soaking appeared in the inner pericarp near the calyx end after 2 d of ethylene treatment, and was accompanied by increased activities of ACC synthase ( ACS) and ACC oxidase ( ACO).

水渍化的症状最初在靠近花萼端的内果皮中发生,在乙烯处理的第2天开始出现,ACC合成酶(ACS)和ACC氧化酶(ACO)的活性明显提高。

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10、

A stochastic optimization algorithm, AACO, is proposed by combining ant colony optimization ( ACO) algorithm with Alopex algorithm that is a stochastic optimization method for solving continuous space optimization problems.

通过将蚁群优化算法(Ant colony optimization,ACO)与一种随机优化方法&Alopex算法相结合,提出一种随机蚁群混合算法(AACO)求解连续空间优化问题。

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11、

Secondly, introduces the assignment collaboration management applications of Agent technology with improved CNET, ACO also is used when searching the best way to solutions in the Expert System knowledge data-base.

介绍了Agent技术在系统中的基于改进合同网的任务协同管理应用,以及在专家系统知识库中路径搜索时采用了蚁群算法。

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