Multi-Swarm Cuckoo Search Algorithm with Q-Learning Model. (11th March 2020)
- Record Type:
- Journal Article
- Title:
- Multi-Swarm Cuckoo Search Algorithm with Q-Learning Model. (11th March 2020)
- Main Title:
- Multi-Swarm Cuckoo Search Algorithm with Q-Learning Model
- Authors:
- Li, Juan
Xiao, Dan-dan
Zhang, Ting
Liu, Chun
Li, Yuan-xiang
Wang, Gai-ge - Abstract:
- Abstract: As a novel swarm intelligence optimization algorithm, cuckoo search (CS) has been successfully applied to solve diverse problems in the real world. Despite its efficiency and wide use, CS has some disadvantages, such as premature convergence, easy to fall into local optimum and poor balance between exploitation and exploration. In order to improve the optimization performance of the CS algorithm, a new CS extension with multi-swarms and Q -Learning namely MP-QL-CS is proposed. The step size strategy of the CS algorithm is that an individual fitness value is examined based on a one-step evolution effect of an individual instead of evaluating the step size from the multi-step evolution effect. In the MP-QL-CS algorithm, a step size control strategy is considered as action, which is used to examine the individual multi-stepping evolution effect and learn the individual optimal step size by calculating the Q function value. In this way, the MP-QL-CS algorithm can increase the adaptability of individual evolution, and a good balance between diversity and intensification can be achieved. Comparing the MP-QL-CS algorithm with various CS algorithms, variants of differential evolution (DE) and improved particle swarm optimization (PSO) algorithms, the results demonstrate that the MP-QL-CS algorithm is a competitive swarm algorithm.
- Is Part Of:
- Computer journal. Volume 64:Number 1(2021)
- Journal:
- Computer journal
- Issue:
- Volume 64:Number 1(2021)
- Issue Display:
- Volume 64, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 64
- Issue:
- 1
- Issue Sort Value:
- 2021-0064-0001-0000
- Page Start:
- 108
- Page End:
- 131
- Publication Date:
- 2020-03-11
- Subjects:
- cuckoo search algorithm -- Q-Learning -- multi-stepping evolution -- global optimization -- multi-swarms
Computers -- Periodicals
005.1 - Journal URLs:
- http://comjnl.oxfordjournals.org/ ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/comjnl/bxz149 ↗
- Languages:
- English
- ISSNs:
- 0010-4620
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.060000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15731.xml