CRACY
发表于 2025-3-23 11:46:06
Reference work 2016Latest editiontion from the project area by operating directly with a grid of geographically dispersed demand points. Computational results show this to be a promising technique for partitioning the project area and positioning the control switches. Tests were realized with real instances taken from large areas in the city of São Paulo.
ANTI
发表于 2025-3-23 15:54:29
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scoliosis
发表于 2025-3-23 21:08:27
An Improved Genetic Algorithm for the Sequencing by Hybridization Problemd algorithm in the literature. The improvement is achieved by modifying the crossover operator towards an almost deterministic greedy crossover which makes the algorithm both more effective and more efficient. Experimental results on real DNA data are presented to show the advantages of using the proposed algorithm.
潜移默化
发表于 2025-3-23 23:06:06
Discrete Branch Length Representations for Genetic Algorithms in Phylogenetic Searchetic trees. We find that discretizing the edge lengths changes the fundamental character of the search and can produce higher quality trees. Our results suggest a search that is more robust to traps in local optima and an opportunity to better control the balance between topology search and edge length search.
sperse
发表于 2025-3-24 05:36:59
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伪善
发表于 2025-3-24 08:57:06
A Genetic Algorithm for Telecommunication Network Designtion from the project area by operating directly with a grid of geographically dispersed demand points. Computational results show this to be a promising technique for partitioning the project area and positioning the control switches. Tests were realized with real instances taken from large areas in the city of São Paulo.
Charitable
发表于 2025-3-24 13:35:23
A Scenario-Based Approach to Protocol Design Using Evolutionary Techniqueseduces to evolving finite-state machines with the specified input/output behaviors. The proposed approach does not overgeneralize the entity behavior producing, by construction, minimal, deterministic and completely specified finite-state machines.
Bouquet
发表于 2025-3-24 15:42:39
Evolutionary Search of Thresholds for Robust Feature Set Selection: Application to the Analysis of Mfeature subset selection problem. We address this problem using an evolutionary algorithm that learns the appropriate value of the thresholds. The empirical evaluation shows that robust subset of genes can be obtained. This evaluation is done using real data corresponding to the gene expression of lymphomas.
思想灵活
发表于 2025-3-24 20:17:37
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anus928
发表于 2025-3-24 23:16:54
Evolutionary Algorithms for Optimal Control in Fed-Batch Fermentation Processesmes and using real-valued representations is proposed that is capable of simultaneously optimizing the aforementioned aspects. Outstanding productivity levels were achieved and the results are validated by practice.