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Metaheuristics for Dynamic Optimization

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  • 432 pages
  • 16 hours of reading

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This book provides an updated overview of current trends and research in solving dynamic problems using metaheuristics. It discusses various techniques, including genetic algorithms and neural networks, addressing both theory and practice. The content is suitable for beginners and experienced practitioners, covering real-world applications in logistics and bioinformatics.

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Metaheuristics for Dynamic Optimization, Enrique Alba, Amir Nakib

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2014
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