Artificial bee colony optimization algorithm (ABC) is an optimization algorithm based on swarm intelligence which is obtained by observing the behavior of bees looking for nectar and sharing food information with bees in the hive. QUasi-Affine TRansformation Evolutionary (QUATRE) is an algorithm that uses quasi-affine transformation as an evolution method because ABC has the shortcoming of weak ability to develop new nectar sources, and QUATRE has weak search ability but strong development ability, so this paper combines these two algorithms to a certain extent and proposes an improved artificial bee colony optimization algorithm (QUA-ABC). QUA-ABC is inspired by the location update formula in QUATRE and proposes a new location update formula suitable for ABC. In this study, experiments were conducted using the internationally used CEC2013 data set. The optimization accuracy and convergence speed of QUA-ABC were compared with the original ABC. The results show that the QUA-ABC algorithm has stronger capabilities and better performance.
Hybrid Optimization Algorithm Based on QUATRE and ABC Algorithms
Smart Innovation, Systems and Technologies
Advances in Smart Vehicular Technology, Transportation, Communication and Applications ; Chapter : 18 ; 187-197
2021-11-30
11 pages
Article/Chapter (Book)
Electronic Resource
English
Hybrid Optimization Algorithm Based on QUATRE and ABC Algorithms
TIBKAT | 2022
|Quatre machines, quatre époques
Online Contents | 2007
Les quatre branches doivent se mettre en quatre
Online Contents | 2008
Quatre villes, quatre stratégies pour des transports plus efficace
IuD Bahn | 2005
|UAV Path Planning Based on Improved QUATRE Algorithm in Different Environments
Springer Verlag | 2024
|