TY  - JOUR
AB  - Purpose The purpose of this paper is to explore the potential of standard quantum-based particle swarm optimization (QPSO) methods for solving electromagnetic inverse problems.Design/methodology/approach A modified QPSO algorithm is designed.Findings The modified QPSO algorithm is an efficient and robust global optimizer for optimizing electromagnetic inverse problems. More specially, the experimental results as reported on different case studies demonstrate that the proposed method can find better final optimal solution at an early stage of the iterating process (uses less iterations) as compared to other tested optimal algorithms.Originality/value The modifications include the design of a new position updating formula, the introduction of a new mutation strategy and a dynamic control parameter to intensify the convergence speed of the algorithm.
VL  - 36
IS  - 1
SN  - 0332-1649
DO  - 10.1108/COMPEL-02-2016-0042
UR  - https://doi.org/10.1108/COMPEL-02-2016-0042
AU  - Rehman Obaid Ur
AU  - Yang Shiyou
AU  - Khan Shafi Ullah
PY  - 2017
Y1  - 2017/01/01
TI  - A modified quantum-based particle swarm optimization for engineering inverse problem
T2  - COMPEL - The international journal for computation and mathematics in electrical and electronic engineering
PB  - Emerald Publishing Limited
SP  - 168
EP  - 187
Y2  - 2024/09/20
ER  -