ant colony信息详情
蚁群
colony───n.殖民地;移民队;种群;动物栖息地
ant───n.蚂蚁;n.(Ant)人名;(土、芬)安特
sequel colony───续集殖民地
colony collapse───蜂群崩溃
leper colony───麻风病人隔离区
bacterial colony───细菌菌落;n.(细菌)菌落;细菌聚落
crateriform colony───坑状菌落
breadbasket colony───粮仓殖民地
bryozoan colony───苔藓虫群落
When the lid of the nest box on an ant colony is raised, a whiff of dead cockroach wafts by.───当蚁群的巢箱盖子被揭开时,一股死蟑螂的气息扑面而来。
Miller visited a Texas gas company that has successfully applied formulas based on ant colony behaviour to "optimise its factories and route its trucks".───米勒参观了一家德州天然气公司,该公司成功地应用了基于蚁群行为的公式来“优化其工厂和卡车的路线”。
They came up with a computer model, based on the self-organising principles of an ant colony.───他们提出了一个基于蚁群自组织原则的计算机模型。
Pick an ant from the ant colony and take him to 100m away, then follow the track of his way home.───从蚁群里捉一只蚂蚁放到一百米外的地方,跟踪它回家的线路。
To understand such behavior, Moffett suggests that we think of an ant colony like a single organism.───为了便于理解蚂蚁的这种“自杀”行为,莫菲特建议我们把一个蚂蚁群体看作是一个组织。
The ant colony optimization algorithm has found slow convergence and easy to stagnation.───发现基本蚁群优化算法存在慢收敛且易停滞等问题。
Compared with gradient-type methods, the ant colony optimization is able to converge to global minima for estimating model parameters.───与传统的基于梯度的优化方法相比较,对于参数识别反问题蚁群算法能够收敛到全局最优解。
Ant colony optimization (ACO) has high optimizing efficiency, but can only be applied to combinational optimization problems.───经典蚁群优化(ACO)算法搜优效率高,但只适用于求解组合优化等离散问题。
The collective intelligence of an ant colony can serve as inspiration to help us solve complex human problems.───蚁群的集体智能能够作为一种启发,帮助我们解决人类所面临的复杂问题。
Ant colony algorithm ACA is a novel bionic evolutionary algorithm.
Ant colony algorithm is applied to maze problem in this paper.
After analyzing a common used ant colony routing algorithm, this thesis proposed a new fast adaptive routing algorithm to overcome the drawbacks of the ant-based algorithm.
Based on ant colony evolutionary algorithm, a colony algorithm is extended for searching continuous space optimization.
Ant Colony Optimization Algorithms ( ACOAs ) were appropriate for this optimization problem.
Every ant colony has its own clone of fungi, distinct from that on the neighbouring farm.
Ant colony algorithm is a new heuristic optimization method and it has many merits.
Yet, the ant colony moves.
The ant colony system is introduced and a new algorithm for TSP is presented. This algorithm is a distributed parallel algorithm with a new state transition rule and new global updating rule.
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