Estimation of Distribution Algorithms.- GA-EDA: A New Hybrid Cooperative Search Evolutionary Algorithm.- Bayesian Classifiers in Optimization: An EDA-like Approach.- Feature Ranking Using an EDA-based Wrapper Approach.- Learning Linguistic Fuzzy Rules by Using Estimation of Distribution Algorithms as ...
A new estimation of distribution algorithm based on normalized mutual information (NMIEDA) is proposed for overcoming the premature convergence of bivariate estimation of distribution algorithms. NMIEDA first uses normalized mutual information to measure the interaction between two variables and then ...
训练是基于当前种群进行的,本质上就是基于概率模型的优化算法(EDA)。 生成过程是随机选择一个个体,进行破坏,然后利用DAE进行恢复。 实验结果 实验结果显示,使用5%的Levenshtein编辑距离可以取得最佳效果。相比之下,使用传统的变异算子难以取得理想效果。 作者指出,Levenshtein编辑距离的比例实际上控制了探索与利用的平衡。
为了充分利用差分进化(DE)的强大开发和estimation-of-distribution算法(EDA)的强大探索,提出了一种混合estimation-of-distribution算法的改进差分进化IDE-EDA。首先,提出了一种新的协同进化框架,将LSHADE-RSP(一种结合基于DE的有效改进策略的最先进的DE变体)与EDA混合。其次,利用LSHADE-RSP产生的优势个体建立EDA的概率分...
Estimation of Distribution Algorithm (EDA) is a new kinds of colony evolution algorithm, through counting excellent information of individuals of the present colony EDA construct probability distribution model, then sample the model produces newt generation. To solve the NP-Hard question as EDA ...
Keywords:estimationofdistributionalgorithm:probabilisticmodel;evolutionarycomputation 1 引 言 分布估计算法(EDA)是一种新兴的基于统计学 原理的随机优化算法[11.EDA与遗传算法(GA)有着 明显的区别.GA采用交叉和变异等操作产生新个体, EDA则通过对搜索空间采样和统计学习来预测搜索 ...
Quantum architecture search (QAS) involves optimizing both the quantum parametric circuit configuration but also its parameters for a variational quantum algorithm. Thus, the problem is known to be multi-level as the performance of a given architecture i
Schedules can be built in a similar way to a human scheduler by using a set of rules that involve domain knowledge. This paper presents an Estimation of Distribution Algorithm (EDA) for the nurse scheduling problem, which involves choosing a suitable scheduling rule from a set for the assignmen...
Genetic Algorithm (GA) has been found to be lack of effectiveness in solving optimization problems where there is a large amount of interaction between variables, one approach to solve this problem is Estimation of Distribution Algorithms (EDA). Factorized distribution algorithm is an EDA that uses...
In this paper, an effective estimation of distribution algorithm (EDA) is proposed to solve the distributed permutation flow-shop scheduling problem (DPFSP). First, the earliest completion factory rule is employed for the permutation based encoding to generate feasible schedules and calculate the sched...