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- A new Heuristic Genetic Information based Ant Colony Genetic Algorithm (HGI-ACGA) to solve Traveling Salesman Problems(TSP) was proposed. 结合遗传算法和蚁群算法,提出了一种求解TSP的基于启发式遗传信息的蚁群遗传算法。
- 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). 摘要针对PID参数优化问题,对蚁群算法进行改进,并与遗传算法相结合,提出了改进的GAAA算法;
- Results show that compared with genetic algorithm and ant colony optimization, the proposed algorithm has more powerful search property, more stable and converges faster. 结果表明,与遗传算法和蚁群算法相比,该算法具有更强的搜索性能和更好的稳定性,收敛速度更快。
- To solve function optimization problem,pheromone update strategy is derived based on ant colony algorithm by inducing binary coding of genetic algorithm. 为了求解一般的函数优化,在标准蚁群算法的基础上,引入了遗传算法的编码方式,对蚁群算法的信息素更新进行改进。
- An improved GAAA algorithm is proposed for the optimiza ti on of parameters of PID controller,which improved ant colony algorithm(AA) an d combined with genetic algorithm(GA) . 针对PID参数优化问题,对蚁群算法进行改进,并与遗传算法相结合,提出了改进的GAAA算法;
- The genetic algorithm and the ant colony algorithms fusion,will make a improvement algorithm to solve the TSP problem. 将遗传算法和蚁群算法融合,给出一种求解TSP问题的改进的算法。
- A hybrid algorithm of ant colony &genetic algorithms was proposed to solve the flexible Job Shop scheduling problem capacitated constraints. 摘要提出一种主、从递阶结构的蚁群遗传求解算法。
- Despite the broad application of GA(Genetic Algorithm) and ACO(Ant Colony Optimization algorithm) in multicast routing problem,they both have the paradox between the time and the optimization result. 遗传算法、蚁群优化算法已在多播路由优化问题中得到了广泛应用,但由于算法本身的缺陷,二者在具体应用时都存在着时间性能与优化性能之间的矛盾。
- Ant Colony Optimization Genetic Algorithm (ACOGA) 蚁群遗传算法
- GA(Genetic Algorithm) and ACO(Ant Colony Optimiza- tion) 遗传与蚁群算法
- For the structure optimization, this paper puts forward a design method of network's structure optimization based Ants Colony Genetic Algorithm?Rough Set (ACGA-RS) to the problem about big redundancy in the framework-based wavelet network. 在结构优化方面,针对基于框架的小波神经网络存在的网络冗余性较大的问题,本文提出一种基于蚁群遗传-粗糙集的网络结构优化设计方法。
- Research on Nonlinear Predictive Control of Mass Moment Interception Missile Based on Ant Colony Genetic Algorithm Optimization 基于蚁群遗传算法优化的质量矩拦截弹非线性预测控制研究
- Based on the analysis about VRP,a mathematical model is built and a combinated optimization algorithm of ant colony and genetic suitable for solving it is designed. 摘要 在对车辆路径问题(VRP)分析的基础上,为之建立了数学模型,提出了一种适合求解该问题的蚁群遗传融合优化算法。
- A godless net muting with ant colony algorithm for IC design is presented. 本文提出了一种基于蚁群算法的集成电路无网格布线算法。
- Ant colony - genetic algorithm 蚁群遗传算法
- Ant colony algorithm is an intelligent clustering analysis methodology. 蚁群算法是一种智能聚类分析方法。
- An organism,such as a beetle,that habitually shares the nest of an ant colony. 蚁冢动物习惯居住在蚂蚁巢中的有机体,如甲壳虫
- So what is the genetic algorithm? 那么什么是遗传算法呢?
- A real zooming genetic algorithm is put forth. 进而提出基于实数编码的变焦遗传算法。
- Ant colony algorithms are robust and adaptable as novel optimization methods. 蚁群算法作为一种新型的优化方法,具有很强的鲁棒性和适应性。