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Advances Swarm Intelligence: 15th International Conference on Intelligence, ICSI 2024, Xining, China, August 23-26, Proceedings, Part I

Advances Swarm Intelligence: 15th International Conference on Intelligence, ICSI 2024, Xining, China, August 23-26, Proceedings, Part I

Current price: $79.99
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Advances Swarm Intelligence: 15th International Conference on Intelligence, ICSI 2024, Xining, China, August 23-26, Proceedings, Part I

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Advances Swarm Intelligence: 15th International Conference on Intelligence, ICSI 2024, Xining, China, August 23-26, Proceedings, Part I

Current price: $79.99
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Size: Paperback

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This two-volume set LNCS 14788 and 14789 constitutes the refereed post-conference proceedings of the 15th International Conference on Advances in Swarm Intelligence, ICSI 2024, held in Xining, China, during August 23–26, 2024.
The 74 revised full papers presented in these proceedings were carefully reviewed and selected from 156 submissions. The papers are organized in the following topical sections:
Part I - Particle swarm optimization; Swarm intelligence computing; Differential evolution; Evolutionary algorithms; Multi-agent reinforcement learning & Multi-objective optimization.
Part II - Route planning problem; Machine learning; Detection and prediction; Classification; Edge computing; Modeling and optimization & Analysis of review.
This two-volume set LNCS 14788 and 14789 constitutes the refereed post-conference proceedings of the 15th International Conference on Advances in Swarm Intelligence, ICSI 2024, held in Xining, China, during August 23–26, 2024.
The 74 revised full papers presented in these proceedings were carefully reviewed and selected from 156 submissions. The papers are organized in the following topical sections:
Part I - Particle swarm optimization; Swarm intelligence computing; Differential evolution; Evolutionary algorithms; Multi-agent reinforcement learning & Multi-objective optimization.
Part II - Route planning problem; Machine learning; Detection and prediction; Classification; Edge computing; Modeling and optimization & Analysis of review.

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