Rezultati pretrage - (( collaborative evolutionary algorithm ) OR ( collaborative evolution algorithms ))

Mathematical Modeling and Intelligent Optimization in Green Manufacturing & Logistics

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

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Advances in Intelligent Data Analysis and Its Applications

Teme: “…differential evolution algorithm…”
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Artificial Intelligence in Complex Networks

Teme: “…phylogenetic evolution…”
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Natural Disasters Occurrence, Reduction, and Restoration in Mountain Regions

Teme: “…landslide evolution…”
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Numerical Simulation and Computational Methods in Engineering and Sciences

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Artificial Intelligence Advances for Medical Computer-Aided Diagnosis

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Optimization Algorithms

Teme: “…evolutionary algorithms…”
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Ice and Snow Properties and Their Applications

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Charting the Intelligence Frontiers – Edge AI Systems Nexus

“…For researchers, students, practitioners, and visionaries, this book provides a comprehensive roadmap for the next stage in the evolution of intelligent, connected systems at the edge.…”
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Charting the Intelligence Frontiers – Edge AI Systems Nexus

“…For researchers, students, practitioners, and visionaries, this book provides a comprehensive roadmap for the next stage in the evolution of intelligent, connected systems at the edge.…”
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Evolutionary Multi-Criteria Optimization

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Numerical and Evolutionary Optimization 2024

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Evolutionary Computation, Metaheuristics, Nature-Inspired Algorithms, and Symmetry

Teme: “…Evolutionary algorithms…”
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Soil and Groundwater Quality and Resources Assessment, 2nd Edition

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Optimization Methods Applied to Power Systems: Volume 1 od Montoya, Francisco G., Baños Navarro, Raúl

Teme: “…evolutionary algorithms…”
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Optimization Methods Applied to Power Systems: Volume 2 od Montoya, Francisco G., Baños Navarro, Raúl

Teme: “…evolutionary algorithms…”
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Special Issue of the Manufacturing Engineering Society (MES)

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Special Issue of the Manufacturing Engineering Society (MES)

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Evolutionary Computation & Swarm Intelligence

“…The latter are broad and still growing subjects in Computer Science in the study of metaheuristic approaches, i.e., those approaches which do not make any assumptions about the problem function, inspired from natural phenomena such as, in the first place, the evolution process and the collaborative behaviours of groups of animals and communities, respectively. …”
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