Quantum-Inspired Swarm Evolution Algorithm

Authors:
Huang Yourui;Tang Chaoli;Wang Shuang
Affiliations:
-;-;-
Venue:
CISW '07 Proceedings of the 2007 International Conference on Computational Intelligence and Security Workshops
Year:
2007

Citing 0
Cited 3

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A modified quantum-inspired particle swarm optimization algorithm

AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III
Orginal article: An efficient quantum immune algorithm to minimize mean flow time for hybrid flow shop problems

Mathematics and Computers in Simulation

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Abstract

This paper proposes a novel quantum swarm evolution algorithm, called a quantum-inspired swarm evolution algorithm (QSEA), which is based on the concept and principles of quantum computing. The proposed algorithm adopts quantum angle to express Q-bit and improved particle swarm optimization to update automatically. After the quantum-inspired swarm evolution algorithm is described, the experiment results on the benchmark functions are given to show its efficiency.