首页|Quantum-Behaved Particle Swarm Optimization Algorithm Based on the Two-Body Problem

Quantum-Behaved Particle Swarm Optimization Algorithm Based on the Two-Body Problem

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The present study proposes an improved Quantum-behaved particle swarm optimization algorithm based on the two-body problem model (QTPSO) for solving the problem that other quantum-behaved par-ticle swarm optimization algorithms easily converge on local optimal solutions when solving complex nonlinear problems. In the proposed QTPSO algorithm, particles are categorised as core particles and edge particles. Once the position of the core particle is determined, the edge particle appears in the vicinity of the attractor exhibiting a high probability, and the attractor is obtained through the random weighted sum of the core particle and the optimal mean position. Through simulation of the motion of these two particles by applying the interaction of the particles in the two-body problem, this mechanism not only improves the diversity of the population, but also enhances the local search capacity. To validate the proposed algorithm, three groups of experimental results were obtained to compare the proposed algorithm with other swarm intelligence algorithms. The experimental results indicate the superiority of the QTPSO algorithm.

Quantum-behaved particle swarm optimizationTwo-body problemQuantum potential wellWave functionNonlinear optimization problems

YAN Tao、LIU Fengxian

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Institute of Big Data Science and Industry, Shanxi University, Taiyuan 030006, China

School of Computer and Information Technology, Shanxi University, Taiyuan 030006, China

Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, Taiyuan 030006, China

Guangzhou Institute of Electronic Technology, Chinese Academy of Sciences, Guangzhou 510070, China

University of Chinese Academy of Sciences, Beijing 100049, China

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National Natural Science Fund of ChinaNational Natural Science Fund of ChinaNational Natural Science Fund of ChinaProgram for New Century Excellent Talents in UniversityProgram for the Outstanding Innovative Teams of Higher Learning Institutions of ShanxiProgram for the Young San Jin Scholars of Shanxi

6167233261432011U1435212NCET-12-1031

2019

10.1049/cje.2019.03.023

中国电子杂志(英文版)

中国电子杂志(英文版)

CSTPCDCSCDSCIEI
ISSN：1022-4653
年,卷(期)：2019.28(3)
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