Search Results - (evolutionary OR evolution) algorithm

Applications of Computational Intelligence

Subjects: “…evolutionary algorithm…”
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Monitoring Forest Carbon Sequestration with Remote Sensing

Subjects: “…spatiotemporal evolution…”
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Computational Intelligence and Soft Computing: Recent Applications

Subjects: “…discrete bacterial memetic evolutionary algorithm…”
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Plant Genomics

Subjects: “…computational algorithms…”
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Impacts of Molecular Structure on Nucleic Acid-Protein Interactions

Subjects: “…evolution…”
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Characterisation and Modelling of Manufacturing-Microstructure-Property-Mechanism Relationship for Advanced and Emerging Materials

Subjects: “…genetic algorithms…”
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Recent Advances in Machine Learning and Computational Intelligence

Subjects: “…evolutionary algorithm…”
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Applied and Computational Mathematics for Digital Environments

Subjects: “…evolutionary algorithm…”
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Theory and Applications of Web 3.0 in the Media Sector

“…A total of 11 contributions were published within this volume, enlightening various aspects of contemporary Web 3.0 services from both technological/algorithmic and conceptual/social science approaches..…”
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Mathematical Modeling and Intelligent Optimization in Green Manufacturing & Logistics

Subjects: “…differential evolution algorithm…”
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Social Manufacturing on Industrial Internet

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Advances in Sustainable and Digitalized Factories: Manufacturing, Measuring Technologies and Systems

Subjects: “…evolutionary algorithms…”
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Numerical and Evolutionary Optimization 2021

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Computational Approaches in Discovery & Design of Antimicrobial Peptides

Subjects: “…evolutionary and PPI algorithms…”
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Swarms and Network Intelligence

Subjects: “…evolutionary learning…”
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Applied Machine Learning

Subjects: “…genetic algorithms…”
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Control, Optimization, and Mathematical Modeling of Complex Systems

Subjects: “…evolutionary algorithm…”
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Hypergraph Computation by Dai, Qionghai, Gao, Yue

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Global Studies on Management Information Systems

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Gradient Expectations by Downing, Keith L.

“…Synthesizing critical research in neuroscience, cognitive science, and connectionism, Gradient Expectations offers unique depth and breadth of perspective on predictive neural-network models, including a grasp of predictive neural circuits that enables the integration of computational models of prediction with evolutionary algorithms.…”
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