The third chapter presents our research on real-code adaptive mutation operator based on the similitude between individuals.
第三章阐述了作者对基于个体间相似性变异算子以及自适应演化算法的研究。
A new adaptive mutation particle swarm optimizer (AMPSO), which is based on the variance of the population's fitness is presented.
本文提出了一种新的基于群体适应度方差自适应变异的粒子群优化算法(AMPSO)。
A novel adaptive mutation technique and a scheme to shift the training of the network from the GA to the BP algorithm are proposed.
在该方法中，提出了一种新的自适应变异操作技术及将遗传算法与BP算法进行自适应切换的实施方案。
Genetic algorithms mimic Darwinian natural selection, where "fitness" selects individuals for survival, breeding, and, hence, adaptive mutation.
遗传算法模仿达尔文的自然选择，其中“适应性”选择进行生存、繁殖以及由此而来的适应性变异的个体。
We proved the convergence of GA which we proposed adaptive fitness functions, adaptive crossover probability and adaptive mutation probability.
最后，对提出的自适应交叉概率和自适应变异概率利用遗传算法的公理化理论进行了收敛性的证明。
Each additional human case increases opportunities for the virus to improve its transmissibility, through either adaptive mutation or reassortment.
每增加一例人间病例增强了该病毒通过适应性突变或重组提高其可传播性的机会。
The second mechanism is a more gradual process of adaptive mutation, whereby the capability of the virus to bind to human cells increases during subsequent infections of humans.
第二种机制是一个渐进的适应性变异过程，在这一过程中，伴随人类受到感染，病毒与人体细胞相结合的能力增加了。
This paper proposes the array chain chromosome coding and the Adaptive GA (AGA) that combines the self-adaptive mutation probability and simulation anneal punishment function.
提出了数组链染色体编码方式，以及基于自适应性变异概率和模拟退火惩罚函数法的适应性遗传算法（AGA）。
Adaptive mutation, expressed initially as small clusters of human cases with some evidence of human-to-human transmission, would probably give the world some time to take defensive action.
适应性变异最初表现为小群人发病，一些证据显示人际传播，这或许可给世界一些时间采取防御行动。
The methods we proposed include adding deterministic simplex searching operation, improving the crossover operator, modifying adaptive crossover probability and adaptive mutation probability.
采用的相关技术包括增加单纯形寻优算子、运用改进的交叉算子、自适应地调整交叉率和变异率等。
But evolution also requires repeated replication and mutation to generate the variation upon which selection works to give adaptive solutions.
但是进化还需要反复复制和突变产生赖以选择的变异，从而给予适应性解决方案。
In the HGA , heuristic algorithm is used to produced initial population , self-adaptive parameter are used in copy operator, crossover operator and mutation operator .
混合遗传算法在产生初始种群时引入启发式方法，采用自适应遗传参数和交替使用两种交叉算子；
So an adaptive method of updating pheromone and a mutation strategy of clearing up invalid assignment were introduced to increase convergent speed.
为此，提出一种自适应的信息素更新方法和消除无效分配的变异策略，提高了收敛速度。
At the same time adaptive crossover and mutation strategy for GA is studied, and parameters for GA used in weights assignment algorithm are presented.
同时研究了遗传算法中交叉和变异的自适应策略，并给出了适合在线权重分配遗传算法的参数。
It is composed of a simple and general purpose dynamic scaled fitness and selection operator, crossover operator, mutation operators and adaptive probabilities for these operators.
它由一种简单、适应面广的动态刻度适应值和选择算子、杂交与变异算子，以及这些算子相应的自适应概率组成。
Wheel disk gambling selection operator, adaptive crossover and mutation operators are used as genetic operators.
其中遗传算子分别采用轮盘赌选择算子以及自适应的交叉和变异算子。
It introduces the natural number coding method, adaptive probabilities of crossover and mutation, and furthermore, makes use of heuristic information to improve search efficiency effectively.
算法采用自然数编码，自适应的交叉变异算子，并融入启发式信息有效地提高了搜索效率。
A new adaptive second mutation differential evolution algorithm (ASMDE) based on the variance of the population's fitness is presented.
提出一种基于群体适应度方差自适应二次变异的差分进化算法。
In order to increase the algorithm's capacity of global convergence, some strategies such as adaptive probability of mutation, calculating the degree of similarity, niche technology bas…
种群并行进化策略、变异率自适应调整、与启发式算法相结合等措施提高了遗传算法收敛到最优解的成功率。
This paper adds mutation operator to adaptive PSO and apply it in the lymphoma morphology parameter classifier problems.
对自适应粒子群算法引入变异算子，并对其进行改进，将其应用到淋巴瘤形态参数的分类问题上。
Aiming at the disadvantages of Artificial Fish-School Algorithm(AFSA), this paper proposes a novel AFSA based on adaptive Gauss mutation and historical best fish.
针对基本人工鱼群算法存在的不足，根据高斯变异和历史最优鱼个体状态，提出自适应高斯变异人工鱼群算法。
An adaptive immunity algorithm is presented, which USES both Gauss mutation and the adaptive clone scale control.
给出了一种基于高斯变异与自适应克隆规模控制相结合的免疫算法的天线方向图综合方法。
In the process of evolution, the adaptive crossover probability and mutation probability are developed.
在进化过程中采用自适应交叉概率和变异概率。
Based on these, the adaptive probabilities of crossover and mutation operation of an evolutionary individual are presented.
基于此，给出了进化个体的自适应交叉和变异概率。
Based on these, the adaptive probabilities of crossover and mutation operation of an evolutionary individual are presented.
基于此，给出了进化个体的自适应交叉和变异概率。
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