DYNAMIC PROBABILITY SELECTION FOR FLOWER POLLINATION ALGORITHM BASED ON METROPOLISHASTINGS CRITERIA
Flower Pollination Algorithm (FPA) is a relatively new meta-heuristic algorithm that adopts its metaphor from the proliferation role of flowers in plants. Having only one parameter control (i.e. the switch probability, pa) to choose from the global search (i.e. exploration) and local search (i.e. ex...
Main Authors: | Kamal Zamli, Fakhrud Din, Abdullah Nasser, Nazirah Ramli, Noraini Mohamed |
---|---|
Format: | Article |
Language: | English |
Published: |
UUM Press
2020-10-01
|
Series: | Journal of ICT |
Online Access: | https://www.scienceopen.com/document?vid=6d224271-89a6-451d-8cc6-341c00e69936 |
Similar Items
-
DYNAMIC PROBABILITY SELECTION FOR FLOWER POLLINATION ALGORITHM BASED ON METROPOLISHASTINGS CRITERIA
by: Kamal Zuhairi Zamli, et al.
Published: (2020-11-01) -
Hybrid flower pollination algorithm strategies for t-way test suite generation.
by: Abdullah B Nasser, et al.
Published: (2018-01-01) -
Modified Flower Pollination Algorithm for Global Optimization
by: Mohamed Abdel-Basset, et al.
Published: (2021-07-01) -
Flower Pollination Algorithm for Multimodal Optimization
by: Jorge Gálvez, et al.
Published: (2017-01-01) -
A hybrid Q-learning sine-cosine-based strategy for addressing the combinatorial test suite minimization problem.
by: Kamal Z Zamli, et al.
Published: (2018-01-01)