R.I.P.
👻
Ghosted
Swarm Intelligence: Past, Present and Future
April 21, 2018 · Declared Dead · 🏛 Soft Computing - A Fusion of Foundations, Methodologies and Applications
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Xin-She Yang, Suash Deb, Yuxin Zhao, Simon Fong, Xingshi He
arXiv ID
1804.07999
Category
cs.NE: Neural & Evolutionary
Cross-listed
math.OC
Citations
105
Venue
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Last Checked
2 months ago
Abstract
Many optimization problems in science and engineering are challenging to solve, and the current trend is to use swarm intelligence (SI) and SI-based algorithms to tackle such challenging problems. Some significant developments have been made in recent years, though there are still many open problems in this area. This paper provides a short but timely analysis about SI-based algorithms and their links with self-organization. Different characteristics and properties are analyzed here from both mathematical and qualitative perspectives. Future research directions are outlined and open questions are also highlighted.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
📜 Similar Papers
In the same crypt — Neural & Evolutionary
R.I.P.
👻
Ghosted
Progressive Growing of GANs for Improved Quality, Stability, and Variation
R.I.P.
👻
Ghosted
Learning both Weights and Connections for Efficient Neural Networks
R.I.P.
👻
Ghosted
LSTM: A Search Space Odyssey
R.I.P.
👻
Ghosted
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
R.I.P.
👻
Ghosted
An Introduction to Convolutional Neural Networks
Died the same way — 👻 Ghosted
R.I.P.
👻
Ghosted
Language Models are Few-Shot Learners
R.I.P.
👻
Ghosted
PyTorch: An Imperative Style, High-Performance Deep Learning Library
R.I.P.
👻
Ghosted
XGBoost: A Scalable Tree Boosting System
R.I.P.
👻
Ghosted