Genetic algorithms and evolutionary computation, 2.
یادداشتهای مربوط به مندرجات
متن يادداشت
I Foundations --;1 An Introduction to Evolutionary Algorithms --;2 An Introduction to Probabilistic Graphical Models --;3 A Review on Estimation of Distribution Algorithms --;4 Benefits of Data Clustering in Multimodal Function Optimization via EDAs --;5 Parallel Estimation of Distribution Algorithms --;6 Mathematical Modeling of Discrete Estimation of Distribution Algorithms --;II Optimization --;7 An Empirical Comparison of Discrete Estimation of Distribution Algorithms --;8 Results in Function Optimization with EDAs in Continuous Domain --;9 Solving the 0-1 Knapsack Problem with EDAs --;10 Solving the Traveling Salesman Problem with EDAs --;11 EDAs Applied to the Job Shop Scheduling Problem --;12 Solving Graph Matching with EDAs Using a Permutation-Based Representation --;III Machine Learning --;13 Feature Subset Selection by Estimation of Distribution Algorithms --;14 Feature Weighting for Nearest Neighbor by EDAs --;15 Rule Induction by Estimation of Distribution Algorithms --;16 Partial Abductive Inference in Bayesian Networks: An Empirical Comparison Between GAs and EDAs --;17 Comparing K-Means, GAs and EDAs in Partitional Clustering --;18 Adjusting Weights in Artificial Neural Networks using Evolutionary Algorithms.
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation is devoted to a new paradigm for evolutionary computation, named estimation of distribution algorithms (EDAs).
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Evolutionary computation.
موضوع مستند نشده
Evolutionary programming (Computer science)
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )