演化计算
- 网络Evolutionary computation
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基于移动agent技术的演化计算模型
Model of Evolutionary Computation Based on Mobile-Agent
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基于演化计算和代理的QoS路由算法
A QoS Routing Algorithm Based on Evolutionary Computation and Agent
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文中应用了一种简单有效、且收敛性很好的演化计算算法&微粒群优化算法(PSO)进行问题的求解。
A new-proposed evolutionary computation called Particle Swarm Optimization ( PSO ) is applied to solve the problem .
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TSP的演化计算
The Evolutionary Computation of TSP
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基于Prüfer数编码的演化计算方法研究&多阶段物流网络优化问题研究
Study on Evolutionary Computation Based on Pr ü fer Number & Multi-stage Logistic Network Optimization
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粒子群优化(ParticleSwarmoptimization)算法是一类启发式随机全局优化技术,是一种基于群智能(SwarmIntelligence)方法的演化计算技术。
Particle swarm optimization ( PSO ) algorithm is a Heuristic stochastic global optimization technique , and also PSO algorithm is an evolutionary computation technique based on swarm intelligence method .
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粒子群优化(PSO)算法是一种源于人工生命和演化计算理论的优化技术。
Particle swarm optimization ( PSO ) algorithm as one of optimization techniques comes from artificial life and theory of evolutionary algorithms .
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遗传程序设计(GP)作为演化计算中的一个新分支,已成为人工智能领域研究的一大热点。
Genetic programming ( GP ) as a new evolutionary computation branch has become a hotspot in the study of artificial intelligence .
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粒子群优化算法(ParticleSwarmoptimization,PSO算法)源于鸟群和鱼群群体运动行为的研究,是一种新的群体智能优化算法,是演化计算领域中的一个新的分支。
Particle swarm optimization ( PSO ) is an evolutionary computation technique developed by Dr. Eberhart and Dr. Kennedy in 1995 , inspired by social behavior of bird flocking or fish schooling .
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基于演化计算的群体搜索技术,采用整数编码构造遗传算子和自适应函数,对n皇后问题进行求解,实验结果表明,本算法具有快速、有效的特点。
Based on evolutionary computation which has the techniques about searching for group , structure operators and adaptive function in genetic algorithm with integer-encoding , solute the n-queen problem . Tests prove this algorithm is high-speedy and effective .
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基于集群SPMD算法及演化计算并行研究
Research for cluster-oriented spmd algorithm and parallelization of evolutionary computing
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行为AI和演化计算则基于达尔文进化论思想,从与环境实时互动联系的角度,实现对传统AI局限的突破。
Behavior AI and evolution calculation based on the theory of evolution , broke out the limit of tradition AI , by the way of inter connection with environment .
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实际上,自从1985年以来,研究者们已经提出了许多基于演化计算的多目标优化算法,这些算法能够在一次独立的运行中同时搜索到多个Pareto最优解。
In fact , various evolutionary approaches to multi-objective optimization have been proposed since 1985 , capable of searching for multiple Pareto optimal solutions concurrently in a single simulation run .
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在此基础上,一种新的基于Prüfer数编码的演化计算方法被提出,通过算例分析,该方法的可行性和有效性得到了充分的证明。
Furthermore , a new evolutionary computation algorithm based on Pr ü fer number is put forward , its feasibility and efficiency are proved by a numerical example .
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文章以演化计算为工具,以BAN逻辑为基本的推理准则,在第一阶段随机搜索候选协议,然后在第二阶段通过冗余协议约简方案得出优化的协议。
In the first stage , it uses evolutionary computing random search candidate of security protocols with BAN logic ; in the second stage , optimal protocol is gained from redundancy protocols with reduction scheme .
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文中将最大互信息(MMI)和演化计算(EC)相结合,引入到隐马尔柯夫模型(HMM)的训练中去。
And this has led to the local optimality of the models . This paper proposed a hybrid maximum mutual information / evolutionary computation ( MMI / EC ) architecture to be embedded in the training of HMMs .
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文中采用偏最小二乘法和Chebyshev多项式建立领域模型,通过演化计算进行最优问题求解,并利用正交实验取得模型学习的样本数。
The domain model is solved by the partial least square method and Chebyshev , and the optimal solution of model is solved by the evolutional algorithm , and the learning sample data is gained by the orthogonal test .
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基于演化计算的在线手写签名验证方法实现
Implementation of On-line Handwritten Signature Verification Based on Evolutionary Computation
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复杂工程风险管理的信息密度演化计算方法
Risk computation for complex engineering based on information density evolutionary
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基于动态规划与演化计算的切换系统最优控制
Switched System Optimal Control Based on Dynamical Programming Principle and Evolutional Computation
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关于认知演化计算分支领域的研究简报(Ⅱ)
Brief Report of Research on Cognizing the Subarea of Evolutionary Computation (ⅱ)
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演化计算及其在非线性规划中的应用
Evolutionary computation and its application in non - linear programming
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传统方法和演化计算在企业资信评估中的应用
The Application of Traditional Methods and Evolutionary Computation in Credit Assessment of Enterprise
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演化计算在特征词条优化中的应用
The Application of Genetic Algorithm in Optimizing Feature Lemma
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基于演化计算的广义路径规划问题
A Generalized Route Programming Problem Based on Evolutionary Computation
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使用演化计算求解生成循环码的合法码字
Recovering Legal-Codes of Generated Cyclic Codes by Evolutionary Computation
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演化计算是基于进化论(物竞天择,适者生存)机制的群体随机搜索算法。
Evolutionary computation is a random group search algorithm based on evolutionary mechanism .
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基于演化计算的动态最短路问题
Dynamic Shortest Path Problem Based on Evolutionary Computation
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舰船噪声目标聚类分析的演化计算方法
Evolutionary Computation for Ship Noise Targets Clustering Analysis
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演化计算在参数估计中的应用
The Application of Evolutionary Computation in Parameters Evaluation