| 紀錄類型: |
書目-語言資料,印刷品
: Monograph/item
|
| 杜威分類號: |
005.1 |
| 書名/作者: |
Swarm intelligence based optimization : second International Conference, ICSIBO 2016, Mulhouse, France, June 13-14, 2016 : revised selected papers // edited by Patrick Siarry, Lhassane Idoumghar, Julien Lepagnot. |
| 其他題名: |
ICSIBO 2016 |
| 其他作者: |
Siarry, Patrick. |
| 團體作者: |
Clark Conference |
| 出版者: |
Cham : : Springer International Publishing :, 2016. |
| 面頁冊數: |
ix, 125 p. : : ill., digital ;; 24 cm. |
| Contained By: |
Springer eBooks |
| 標題: |
Swarm intelligence - Congresses. |
| 標題: |
Mathematical optimization |
| 標題: |
Computer Science. |
| 標題: |
Algorithm Analysis and Problem Complexity. |
| 標題: |
Artificial Intelligence (incl. Robotics) |
| 標題: |
Computer System Implementation. |
| 標題: |
Special Purpose and Application-Based Systems. |
| 標題: |
Processor Architectures. |
| 標題: |
Discrete Mathematics in Computer Science. |
| ISBN: |
9783319503073 |
| ISBN: |
9783319503066 |
| 內容註: |
Theoretical advances of swarm intelligence metaheuristics -- Combinatorial discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large scale optimization -- Artificial immune systems, particle swarms, ant colony, bacterial forging, artificial bees, fireflies algorithm -- Hybridization of algorithms -- Parallel/distributed computing, machine learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles -- Adaptation and applications of swarm intelligence principles to real world problems in various domains. |
| 摘要、提要註: |
This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Swarm Intelligence Based Optimization, ICSIBO 2016, held in Mulhouse, France, in June 2016. The 9 full papers presented were carefully reviewed and selected from 20 submissions. They are centered around the following topics: theoretical advances of swarm intelligence metaheuristics; combinatorial discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large scale optimization; artificial immune systems, particle swarms, ant colony, bacterial forging, artificial bees, fireflies algorithm; hybridization of algorithms; parallel/distributed computing, machine learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles; adaptation and applications of swarm intelligence principles to real world problems in various domains. |
| 電子資源: |
http://dx.doi.org/10.1007/978-3-319-50307-3 |