Multi-objective Swarm Intelligence by Satchidananda Dehuri
In chapter 1, a review of Bacteria Foraging Optimization (BFO) techniques for both single and multiple criterions problem is presented. A survey on swarm intelligence for multiple and many objectives optimization is presented in chapter 2 along with a topical study on EEG signal analysis.-
Knowledge-Driven Human-Centric Intelligence
-
Hybrid Intelligent System Design by Fusion of Soft Computing Models
-
Computational Intelligence in Internet of Agricultural Things
-
Intelligent Distributed Computing XVI
-
Optimized Cloud Based Scheduling
-
Computational Intelligence for Business Analytics and Decision Systems
-
Computational Intelligence and Mathematics for Tackling Complex Problems 7
-
IT Service and Business Innovation
-
The Artificial Intelligence-Driven Biotechnology Revival: Innovative Approaches to Sustainable Development
-
EEG Brain Signal Classification for Epileptic Seizure Disorder Detection
-
Frontiers in Advanced Computing and Emerging Intelligent Technologies
-
Machine Intelligence, Tools, and Applications
-
Biologically Inspired Techniques in Many Criteria Decision Making
-
INTEGRATION OF SWARM INTELLIGENCE AND ARTIFICIAL NEURAL NETWORK
-
Intelligent Techniques in Recommendation Systems
-
KNOWLEDGE MINING USING INTELLIGENT AGENTS
-
Advances in Machine Learning for Big Data Analysis
-
Advances in Quantum Inspired Artificial Intelligence
| SKU | Unavailable |
| ISBN 13 | 9783662523650 |
| ISBN 10 | 3662523655 |
| Title | Multi-objective Swarm Intelligence |
| Author | Satchidananda Dehuri |
| Series | Studies In Computational Intelligence |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer |
| Year published | 2016-10-09 |
| Number of pages | 201 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |