圆锥 发表于 2025-3-23 12:08:27
Linkage Learning Accuracy in the Bayesian Optimization Algorithmpter studies the influence of different selection and replacement methods on the accuracy of linkage learning in BOA. Results on concatenated m-k deceptive trap functions show that the model accuracy depends on a large extent on the choice of selection method and to a lesser extent on the replacemenbeta-carotene 发表于 2025-3-23 15:09:26
http://reply.papertrans.cn/59/5868/586750/586750_12.pngCholagogue 发表于 2025-3-23 20:00:20
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Parallel GEAs with Linkage Analysis over Gridlgorithms (GEAs) especially linkage based GEAs. We concentrate mainly on the Grid computing paradigm which is widely accepted as the most distributed form of computing; due to the advent of Service Oriented Architecture (SOA) and other technologies, Grid has gained a lot of attention in the recent y无政府主义者 发表于 2025-3-24 04:58:27
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A Clustering-Based Approach for Linkage Learning Applied to Multimodal Optimizationres present in the problem being solved. Similarities are currently taken into account in evolutionary computation since the preservation of the diversity in the population is considered very important to allow the identification of the problem structure, as much as to find and maintain several globfaculty 发表于 2025-3-24 13:04:31
http://reply.papertrans.cn/59/5868/586750/586750_17.png过份好问 发表于 2025-3-24 16:57:09
http://reply.papertrans.cn/59/5868/586750/586750_18.png不能仁慈 发表于 2025-3-24 22:01:03
EpiSwarm, a Swarm-Based System for Investigating Genetic Epistasisto different disease outcomes. Due to the nonlinear interactions among the genes, data such as this is difficult to model using traditional epidemiological tools. Thus, we have developed EpiSwarm, a Swarm-based system for investigating complex genetic diseases. EpiSwarm uses genetic algorithms evolucartilage 发表于 2025-3-25 00:18:27
Real-Coded Extended Compact Genetic Algorithm Based on Mixtures of ModelsBayesian Optimization Algorithm (rBOA). Like ECGA, the proposed algorithm partitions the problem variables into a set of clusters that are manipulated as independent variables and estimates the population distribution using marginal product models (MPMs); like rBOA, it employs finite mixtures of mod