Improved Biogeography-Based Optimization Based on Affinity Propagation

To improve the search ability of biogeography-based optimization (BBO), this work proposed an improved biogeography-based optimization based on Affinity Propagation. We introduced the Memetic framework to the BBO algorithm, and used the simulated annealing algorithm as the local search strategy. MBB...

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Main Authors: Zhihao Wang, Peiyu Liu, Min Ren, Yuzhen Yang, Xiaoyan Tian
Format: Article
Language:English
Published: MDPI AG 2016-07-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:http://www.mdpi.com/2220-9964/5/8/129
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author Zhihao Wang
Peiyu Liu
Min Ren
Yuzhen Yang
Xiaoyan Tian
author_facet Zhihao Wang
Peiyu Liu
Min Ren
Yuzhen Yang
Xiaoyan Tian
author_sort Zhihao Wang
collection DOAJ
description To improve the search ability of biogeography-based optimization (BBO), this work proposed an improved biogeography-based optimization based on Affinity Propagation. We introduced the Memetic framework to the BBO algorithm, and used the simulated annealing algorithm as the local search strategy. MBBO enhanced the exploration with the Affinity Propagation strategy to improve the transfer operation of the BBO algorithm. In this work, the MBBO algorithm was applied to IEEE Congress on Evolutionary Computation (CEC) 2015 benchmarks optimization problems to conduct analytic comparison with the first three winners of the CEC 2015 competition. The results show that the MBBO algorithm enhances the exploration, exploitation, convergence speed and solution accuracy and can emerge as the best solution-providing algorithm among the competing algorithms.
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spelling doaj.art-69cd60fa48ac4a9cb0b22abd395e692e2022-12-22T01:42:26ZengMDPI AGISPRS International Journal of Geo-Information2220-99642016-07-015812910.3390/ijgi5080129ijgi5080129Improved Biogeography-Based Optimization Based on Affinity PropagationZhihao Wang0Peiyu Liu1Min Ren2Yuzhen Yang3Xiaoyan Tian4School of Information Science and Engineering, Shandong Normal University, Jinan 250014, ChinaSchool of Information Science and Engineering, Shandong Normal University, Jinan 250014, ChinaSchool of Information Science and Engineering, Shandong Normal University, Jinan 250014, ChinaSchool of computer and Information Engineering, Heze University, Heze 274015, ChinaShandong Police College, Jinan 250014, ChinaTo improve the search ability of biogeography-based optimization (BBO), this work proposed an improved biogeography-based optimization based on Affinity Propagation. We introduced the Memetic framework to the BBO algorithm, and used the simulated annealing algorithm as the local search strategy. MBBO enhanced the exploration with the Affinity Propagation strategy to improve the transfer operation of the BBO algorithm. In this work, the MBBO algorithm was applied to IEEE Congress on Evolutionary Computation (CEC) 2015 benchmarks optimization problems to conduct analytic comparison with the first three winners of the CEC 2015 competition. The results show that the MBBO algorithm enhances the exploration, exploitation, convergence speed and solution accuracy and can emerge as the best solution-providing algorithm among the competing algorithms.http://www.mdpi.com/2220-9964/5/8/129biogeography-based optimizationaffinity propagationmemetic
spellingShingle Zhihao Wang
Peiyu Liu
Min Ren
Yuzhen Yang
Xiaoyan Tian
Improved Biogeography-Based Optimization Based on Affinity Propagation
ISPRS International Journal of Geo-Information
biogeography-based optimization
affinity propagation
memetic
title Improved Biogeography-Based Optimization Based on Affinity Propagation
title_full Improved Biogeography-Based Optimization Based on Affinity Propagation
title_fullStr Improved Biogeography-Based Optimization Based on Affinity Propagation
title_full_unstemmed Improved Biogeography-Based Optimization Based on Affinity Propagation
title_short Improved Biogeography-Based Optimization Based on Affinity Propagation
title_sort improved biogeography based optimization based on affinity propagation
topic biogeography-based optimization
affinity propagation
memetic
url http://www.mdpi.com/2220-9964/5/8/129
work_keys_str_mv AT zhihaowang improvedbiogeographybasedoptimizationbasedonaffinitypropagation
AT peiyuliu improvedbiogeographybasedoptimizationbasedonaffinitypropagation
AT minren improvedbiogeographybasedoptimizationbasedonaffinitypropagation
AT yuzhenyang improvedbiogeographybasedoptimizationbasedonaffinitypropagation
AT xiaoyantian improvedbiogeographybasedoptimizationbasedonaffinitypropagation