PMID- 31827493
OWN - NLM
STAT- MEDLINE
DCOM- 20200423
LR  - 20231020
IS  - 1687-5273 (Electronic)
IS  - 1687-5265 (Print)
VI  - 2019
DP  - 2019
TI  - Gaussian Quantum Bat Algorithm with Direction of Mean Best Position for Numerical 
      Function Optimization.
PG  - 5652340
LID - 10.1155/2019/5652340 [doi]
LID - 5652340
AB  - Quantum-behaved bat algorithm with mean best position directed (QMBA) is a novel 
      variant of bat algorithm (BA) with good performance. However, the QMBA algorithm 
      generates all stochastic coefficients with uniform probability distribution, 
      which can only provide a relatively small search range, so it still faces a 
      certain degree of premature convergence. In order to help bats escape from the 
      local optimum, this article proposes a novel Gaussian quantum bat algorithm with 
      mean best position directed (GQMBA), which applies Gaussian probability 
      distribution to generate random number sequences. Applying Gaussian distribution 
      instead of uniform distribution to generate random coefficients in GQMBA is an 
      effective technique to promote the performance in avoiding premature convergence. 
      In this article, the combination of QMBA and Gaussian probability distribution is 
      applied to solve the numerical function optimization problem. Nineteen benchmark 
      functions are employed and compared with other algorithms to evaluate the 
      accuracy and performance of GQMBA. The experimental results show that, in most 
      cases, the proposed GQMBA algorithm can provide better search performance.
CI  - Copyright (c) 2019 Xingwang Huang et al.
FAU - Huang, Xingwang
AU  - Huang X
AUID- ORCID: 0000-0003-3055-6408
AD  - Computer Engineering College, Jimei University, 185 Yinjiang Rd., Jimei District, 
      Xiamen 361021, China.
FAU - Li, Chaopeng
AU  - Li C
AD  - Information Engineering College, Jimei University, 185 Yinjiang Rd., Jimei 
      District, Xiamen 361021, China.
FAU - Pu, Yunming
AU  - Pu Y
AD  - Computer Engineering College, Jimei University, 185 Yinjiang Rd., Jimei District, 
      Xiamen 361021, China.
FAU - He, Bingyan
AU  - He B
AD  - Computer Engineering College, Jimei University, 185 Yinjiang Rd., Jimei District, 
      Xiamen 361021, China.
LA  - eng
PT  - Journal Article
DEP - 20191116
PL  - United States
TA  - Comput Intell Neurosci
JT  - Computational intelligence and neuroscience
JID - 101279357
SB  - IM
MH  - *Algorithms
MH  - Animals
MH  - Behavior, Animal
MH  - Chiroptera
MH  - Models, Statistical
MH  - Quantum Theory
PMC - PMC6885302
COIS- The authors declare that they have no conflicts of interest.
EDAT- 2019/12/13 06:00
MHDA- 2020/04/24 06:00
PMCR- 2019/11/16
CRDT- 2019/12/13 06:00
PHST- 2019/09/19 00:00 [received]
PHST- 2019/10/23 00:00 [revised]
PHST- 2019/10/28 00:00 [accepted]
PHST- 2019/12/13 06:00 [entrez]
PHST- 2019/12/13 06:00 [pubmed]
PHST- 2020/04/24 06:00 [medline]
PHST- 2019/11/16 00:00 [pmc-release]
AID - 10.1155/2019/5652340 [doi]
PST - epublish
SO  - Comput Intell Neurosci. 2019 Nov 16;2019:5652340. doi: 10.1155/2019/5652340. 
      eCollection 2019.