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- A godless net muting with ant colony algorithm for IC design is presented. 本文提出了一種基于蟻群算法的集成電路無(wú)網(wǎng)格布線(xiàn)算法。
- Ant colony algorithm is an intelligent clustering analysis methodology. 蟻群算法是一種智能聚類(lèi)分析方法。
- Evolutionary strategy with searching in variable neighborhood parameter is taken to improve ant colony algorithm (ACA). 摘要螞蟻算法是解決組合優(yōu)化問(wèn)題的一種優(yōu)秀的算法，但直接用于解決連續優(yōu)化問(wèn)題存在很大困難。
- Ant colony algorithm has strong robustness and is easy to combine with other methods in optimization. 該算法采用分布式并行計算機制，易與其他方法想結合，具有較強的魯棒性。
- The ant colony algorithm is a new bionic simulated evolutionary algorithm developed in recent years. 摘要蟻群算法是近年來(lái)出現的一種新的仿生優(yōu)化算法。
- The coloring problem of graph theory is combined with an improved ant colony algorithm to plan optimally the overhaul. 在優(yōu)化的過(guò)程中采用了改進(jìn)的蟻群算法，并結合了圖論中的圖著(zhù)色問(wèn)題。
- Ant colony algorithm is a kind of new heuristic solution to combinatorial optimization program. 摘要蟻群算法是一種用于求解復雜組合優(yōu)化的較新的啟發(fā)式算法。
- In the paper, a method of image segmentation by ant colony algorithm based on two-dimensional gray histogram is presented. 提出了一種基于二維灰度直方圖的蟻群圖像分割方法。
- To overcome the default of precocity and stagnation in classical augment ant colony algorithm, an modified augment ant colony algorithm is presented. 針對傳統增強型蟻群算法容易出現早熟和停滯現象的缺陷,提出了一種改進(jìn)的增強型蟻群算法。
- It introduced a basic Ant Colony Algorithm and adapted it to optimize the structure and control parameters of EPS system. 介紹了蟻群算法的基本知識,將蟻群算法引入電控助力轉向系統(EPS)中,對EPS結構參數和控制參數進(jìn)行集成優(yōu)化,并用MATLAB進(jìn)行了仿真。
- An improved ant colony algorithm (ACA) is proposed in order to resolve the path planning problem for seep sea mining robot. 摘要針對深海采礦機器人路徑規劃問(wèn)題，提出一種適合于采礦作業(yè)的改進(jìn)蟻群算法。
- Ant colony algorithm is applied to solve unmanned aerial vehicle(UAV) cooperative multi-task assign-ment problem(CMTAP). 采用蟻群算法對無(wú)人機協(xié)同多任務(wù)分配問(wèn)題(CMTAP)進(jìn)行研究。
- Compared with the single ant colony algorithm, it can more effectively solve the correlation problem among multiple subgraphs. 與蟻群算法獨立搜索比較，分散、遞階蟻群算法能更有效地實(shí)現多子圖之間的關(guān)聯(lián)。
- Ant colony algorithms are robust and adaptable as novel optimization methods. 蟻群算法作為一種新型的優(yōu)化方法,具有很強的魯棒性和適應性。
- On the basis of analyzing the disadvantages of ant colony algorithm (AS), max-min ant colony algorithm (MMAS) is proposed to solve VRP. 摘要蟻群算法能很好地解決車(chē)輛路徑問(wèn)題，但算法搜索時(shí)間長(cháng)，易出現停滯現象。
- After the basic theory of ACA is introduced，a multiprocessors scheduling policy based on an improved ant colony algorithm is proposed in this paper. 在介紹蟻群算法基本原理以及探討該算法的缺陷基礎上，針對多處理器任務(wù)調度問(wèn)題，提出了一種基于改進(jìn)型蟻群算法的調度策略。
- And then near optimization single object selective disassembly sequence could be generated based on ant colony algorithm. 然后結合蟻群算法，從所有可行序列中搜索最優(yōu)或接近最優(yōu)的單目標零件選擇性拆卸序列。
- By use of the properties of pheromone of ant colony algorithm, an ant colony algorithm based on multiplicate pheromone is proposed to solve the traveling salesman problems(TSP). 根據蟻群算法信息素更新的特性,提出了求解旅行商問(wèn)題的多樣信息素的蟻群算法。
- An improved GAAA algorithm is proposed for the optimization of parameters of PID controller, which improved ant colony algorithm (AA) and combined with genetic algorithm (GA). 摘要針對PID參數優(yōu)化問(wèn)題，對蟻群算法進(jìn)行改進(jìn)，并與遺傳算法相結合，提出了改進(jìn)的GAAA算法；
- To overcome the default of slow convergence speed，precocity and stagnation in the basic ant colony Algorithm（ACA），we proposed an Efficient Ant Colony Algorithm（EACA）. 摘要 為了克服基本蟻群算法求解速度慢、易于出現早熟和停滯現象的缺陷，提出了一種高效的蟻群算法（EACA）。
