Session
Mechatronics, Robotics, and System Engineering
Description
Optimization techniques inspired by swarm intelligence have become increasingly popular during the last years. Swarm intelligence is based on nature-inspired behaviours and is successfully applied to optimisation problems in a variety of fields. The advantage of these approaches over traditional techniques is their robustness and flexibility. These properties make swarm intelligence a successful design paradigm for algorithms that deal with increasingly complex problems. In this paper I am focused on the comparison between different swarm-based optimisation algorithms and I have presented some examples of real practical applications of these algorithms.
Keywords:
Optimization, swarm Intelligence, Ant Colony Optimization, Particle Swarm Optimization, Artificial Bees Colony
Session Chair
Gazmend Bajrami
Session Co-Chair
Kushtrim Dragusha
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-437-24-0
First Page
152
Last Page
156
Location
Durres, Albania
Start Date
1-11-2013 5:15 PM
End Date
1-11-2013 5:30 PM
DOI
10.33107/ubt-ic.2013.70
Recommended Citation
Bregaj, Alma, "Swarm Intelligence as an Optimization Technique" (2013). UBT International Conference. 70.
https://knowledgecenter.ubt-uni.net/conference/2013/all-events/70
Swarm Intelligence as an Optimization Technique
Durres, Albania
Optimization techniques inspired by swarm intelligence have become increasingly popular during the last years. Swarm intelligence is based on nature-inspired behaviours and is successfully applied to optimisation problems in a variety of fields. The advantage of these approaches over traditional techniques is their robustness and flexibility. These properties make swarm intelligence a successful design paradigm for algorithms that deal with increasingly complex problems. In this paper I am focused on the comparison between different swarm-based optimisation algorithms and I have presented some examples of real practical applications of these algorithms.
