Advances in Swarm Intelligence de Ying Tan

Advances in Swarm Intelligence: Lecture Notes in Computer Science

Ying Tan

Yuhui Shi

Ben Niu

en Limba Engleză Paperback – 26 iun 2022

This two-volume set LNCS 13344 and 13345 constitutes the proceedings of the 13^th International Conference on Advances in Swarm Intelligence, ICSI 2022, which took place in Xi’an, China, in July 2022. The theme of this year’s conference was “Serving Life with Swarm Intelligence”.
The 85 full papers presented were carefully reviewed and selected from 171 submissions. The papers of the second part cover topics such as: Swarm Robotics and Multi-agent System; Deep Neural Networks; Machine Learning; Data Mining; Other Optimization Applications; ICSI-OC’2022: Competition on Single Objective Bounded Optimization Problems; Swarm Intelligence and Nature-Inspired Computing; Swarm-based Computing Algorithms for Optimization; Particle Swarm Optimization; Ant Colony Optimization; Genetic Algorithm and Evolutionary Computation; Fireworks Algorithms; Brain Storm Optimization Algorithm; Swarm Intelligence Approach-based Applications; Multi-Objective Optimization.

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	Preț	Express
Paperback (5)	338^.31 lei 6-8 săpt.
Springer International Publishing – 15 iun 2016	338^.31 lei 6-8 săpt.
Springer International Publishing – 19 iul 2019	463^.13 lei 6-8 săpt.
Springer International Publishing – 19 iul 2019	465^.33 lei 6-8 săpt.
Springer – 26 iun 2022	580^.96 lei 6-8 săpt.
Springer – 26 iun 2022	1123^.12 lei 6-8 săpt.

Preț

Express

Paperback (5)

338^.31 lei 6-8 săpt.

Springer International Publishing – 15 iun 2016

338^.31 lei 6-8 săpt.

Springer International Publishing – 19 iul 2019

463^.13 lei 6-8 săpt.

Springer International Publishing – 19 iul 2019

465^.33 lei 6-8 săpt.

Springer – 26 iun 2022

580^.96 lei 6-8 săpt.

Springer – 26 iun 2022

1123^.12 lei 6-8 săpt.

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Cuprins

Swarm Intelligence and Nature-Inspired Computing.- Swarm-based Computing Algorithms for Optimization.- Swarm Optimization; Ant Colony Optimization; Differential Evolution.- Genetic Algorithm and Evolutionary Computation; Fireworks Algorithms.- Brain Storm Optimization Algorithm.- Bacterial Foraging Optimization Algorithm.- DNA Computing Methods.- Multi-Objective Optimization.- Swarm Robotics and Multi-Agent System.- UAV Cooperation and Control.- Machine Learning; Data Mining.- Swarm Robotics and Multi-agent System.- Deep Neural Networks; Machine Learning; Data Mining.- Other Optimization Applications.- Competition on Single Objective Bounded Optimization Problems.- Swarm Intelligence and Nature-Inspired Computing.- Swarm-based Computing Algorithms for Optimization.- Particle Swarm Optimization; Ant Colony Optimization.- Genetic Algorithm and Evolutionary Computation.- Fireworks Algorithms.- Brain Storm Optimization Algorithm; Swarm Intelligence Approach-based Applications.- Multi-Objective Optimization.