Adaptive Relative Reflection Harris Hawks Optimization for Global Optimization
The Harris Hawks optimization (HHO) is a population-based metaheuristic algorithm; however, it has low diversity and premature convergence in certain problems. This paper proposes an adaptive relative reflection HHO (ARHHO), which increases the diversity of standard HHO, alleviates the problem of st...
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MDPI AG
2022-04-01
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Series: | Mathematics |
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Online Access: | https://www.mdpi.com/2227-7390/10/7/1145 |
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author | Tingting Zou Changyu Wang |
author_facet | Tingting Zou Changyu Wang |
author_sort | Tingting Zou |
collection | DOAJ |
description | The Harris Hawks optimization (HHO) is a population-based metaheuristic algorithm; however, it has low diversity and premature convergence in certain problems. This paper proposes an adaptive relative reflection HHO (ARHHO), which increases the diversity of standard HHO, alleviates the problem of stagnation of local optimal solutions, and improves the search accuracy of the algorithm. The main features of the algorithm define nonlinear escape energy and adaptive weights and combine adaptive relative reflection with the HHO algorithm. Furthermore, we prove the computational complexity of the ARHHO algorithm. Finally, the performance of our algorithm is evaluated by comparison with other well-known metaheuristic algorithms on 23 benchmark problems. Experimental results show that our algorithms performs better than the compared algorithms on most of the benchmark functions. |
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institution | Directory Open Access Journal |
issn | 2227-7390 |
language | English |
last_indexed | 2024-03-09T11:37:58Z |
publishDate | 2022-04-01 |
publisher | MDPI AG |
record_format | Article |
series | Mathematics |
spelling | doaj.art-41c80576e90a4b248ae643a00c63b3cc2023-11-30T23:37:48ZengMDPI AGMathematics2227-73902022-04-01107114510.3390/math10071145Adaptive Relative Reflection Harris Hawks Optimization for Global OptimizationTingting Zou0Changyu Wang1Information Science and Technology College, Dalian Maritime University, Dalian 116026, ChinaInformation Science and Technology College, Dalian Maritime University, Dalian 116026, ChinaThe Harris Hawks optimization (HHO) is a population-based metaheuristic algorithm; however, it has low diversity and premature convergence in certain problems. This paper proposes an adaptive relative reflection HHO (ARHHO), which increases the diversity of standard HHO, alleviates the problem of stagnation of local optimal solutions, and improves the search accuracy of the algorithm. The main features of the algorithm define nonlinear escape energy and adaptive weights and combine adaptive relative reflection with the HHO algorithm. Furthermore, we prove the computational complexity of the ARHHO algorithm. Finally, the performance of our algorithm is evaluated by comparison with other well-known metaheuristic algorithms on 23 benchmark problems. Experimental results show that our algorithms performs better than the compared algorithms on most of the benchmark functions.https://www.mdpi.com/2227-7390/10/7/1145Harris Hawks optimizationescape energyadaptive relative reflectioncomputational complexity |
spellingShingle | Tingting Zou Changyu Wang Adaptive Relative Reflection Harris Hawks Optimization for Global Optimization Mathematics Harris Hawks optimization escape energy adaptive relative reflection computational complexity |
title | Adaptive Relative Reflection Harris Hawks Optimization for Global Optimization |
title_full | Adaptive Relative Reflection Harris Hawks Optimization for Global Optimization |
title_fullStr | Adaptive Relative Reflection Harris Hawks Optimization for Global Optimization |
title_full_unstemmed | Adaptive Relative Reflection Harris Hawks Optimization for Global Optimization |
title_short | Adaptive Relative Reflection Harris Hawks Optimization for Global Optimization |
title_sort | adaptive relative reflection harris hawks optimization for global optimization |
topic | Harris Hawks optimization escape energy adaptive relative reflection computational complexity |
url | https://www.mdpi.com/2227-7390/10/7/1145 |
work_keys_str_mv | AT tingtingzou adaptiverelativereflectionharrishawksoptimizationforglobaloptimization AT changyuwang adaptiverelativereflectionharrishawksoptimizationforglobaloptimization |