Dimension decided Harris hawks optimization with Gaussian mutation: Balance analysis and diversity patterns

Song, Shiming; Wang, Pengjun; Heidari, Ali Asghar; Wang, Mingjing; Zhao, Xuehua; Chen, Huiling; He, Wenming; Xu, Suling

doi:10.1016/j.knosys.2020.106425

Cited by 127 publications

(52 citation statements)

References 121 publications

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“…Table 14 summarizes the value obtained from the optimization process. The EHHO diminishes the weight to an accuracy of 0.01266 kg compared to the other algorithms such as modified whale algorithm (CCMWOA) [ 97 ], enhanced salp swarm (ESSA) [ 124 ], whale algorithm (WOA) [ 88 ], and modified HHO (GCHHO) [ 59 ].…”

Section: Resultsmentioning

confidence: 99%

Multi-strategy Gaussian Harris hawks optimization for fatigue life of tapered roller bearings

Abbasi

Firouzi

Şendur

et al. 2021

Engineering with Computers

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Bearing is one of the most fundamental components of rotary machinery, and its fatigue life is a crucial factor in designing. The design optimization of tapered roller bearing (TRB) is a complex design problem because various arrays of designing parameters and functional requirements should be fulfilled. Since there are many design variables and nonlinear constraints, presenting an optimal design of TRBs poses some challenges for metaheuristic algorithms. The Harris hawks optimization (HHO) algorithm is a robust nature-inspired method with unique exploitation and exploration phases due to its time-varying structure. However, this metaheuristic algorithm may still converge to local optima for more challenging problems such as the design of TRBs. Therefore, this study aims to improve the accuracy and efficiency of the shortcomings of this algorithm. The performance of the proposed algorithm is first evaluated for the TRB optimization problem. The TRB optimization design has nine design variables and 26 constraints because of geometrical dimensions and strength conditions. The productivity of the proposed method is compared with diverse metaheuristic algorithms in the literature. The results demonstrate the significant development of dynamic load capacity in comparison to the standard value. Furthermore, the enhanced version of the HHO algorithm presented in this study is benchmarked with various well-known engineering problems. For supplementary materials regarding algorithms in this research, readers can refer to https://aliasgharheidari.com .

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Section: Resultsmentioning

confidence: 99%

Multi-strategy Gaussian Harris hawks optimization for fatigue life of tapered roller bearings

Abbasi

Firouzi

Şendur

et al. 2021

Engineering with Computers

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“…The current solution is then updated by a completely random solution and replaced by the current solution in Eq. (12), which is equivalent to searching randomly for fresh prey when the current prey cannot be captured.…”

Section: Searching For the Foodmentioning

confidence: 99%

“…Swarm-based stochastic methods involve any type of mathematical form and various inspirations. In recent years, metaheuristic algorithms [4] have attracted much attention and have been extensively used in numerous fields [6][7][8][9][10][11][12][13][14][15][16][17] . Such popularity is attributed to the ability of MAs to solve many possible complex feature spaces in practical problems in neural network-based control [18,19] , formation control [20] , deep learning models and feature understanding [21,22] , adaptive control [23,24] , machine learning-based implements [25,26] , and artificial intelligence [27] .…”

Section: Introductionmentioning

confidence: 99%

The Colony Predation Algorithm

et al. 2021

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This paper proposes a new stochastic optimizer called the Colony Predation Algorithm (CPA) based on the corporate predation of animals in nature. CPA utilizes a mathematical mapping following the strategies used by animal hunting groups, such as dispersing prey, encircling prey, supporting the most likely successful hunter, and seeking another target. Moreover, the proposed CPA introduces new features of a unique mathematical model that uses a success rate to adjust the strategy and simulate hunting animals’ selective abandonment behavior. This paper also presents a new way to deal with cross-border situations, whereby the optimal position value of a cross-border situation replaces the cross-border value to improve the algorithm’s exploitation ability. The proposed CPA was compared with state-of-the-art metaheuristics on a comprehensive set of benchmark functions for performance verification and on five classical engineering design problems to evaluate the algorithm’s efficacy in optimizing engineering problems. The results show that the proposed algorithm exhibits competitive, superior performance in different search landscapes over the other algorithms. Moreover, the source code of the CPA will be publicly available after publication.

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“…There are also two philosophical viewpoints to deal with problems and mathematical models that one of them rely on the utilization of the gradient and deterministic equations when solving the problem (Long, Wu, & Wang, 2015;Zeng, Liu, & Wang, 2019) and another viewpoint has a trial and error nature using recursive sensing and evaluating the landscape of the problem based on some approximated metrics and info about the problem basin or in a stochastic way. Evolutionary and swarm-based optimization method or metaheuristic methods are widely used approach in this class (Huiling Chen, Shimin Huiling Chen, Wang, & Zhao, 2020;Huiling Chen, Xu, Wang, & Zhao, 2019;Luo, et al, 2019;Luo, et al, 2018;S. Song, et al, 2020;Tu, et al, 2020;H.…”

Section: Introductionmentioning

confidence: 99%

Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts

Yang

Chen

Heidari

et al. 2021

Expert Systems with Applications

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Dimension decided Harris hawks optimization with Gaussian mutation: Balance analysis and diversity patterns

Cited by 127 publications

References 121 publications

Multi-strategy Gaussian Harris hawks optimization for fatigue life of tapered roller bearings

Multi-strategy Gaussian Harris hawks optimization for fatigue life of tapered roller bearings

The Colony Predation Algorithm

Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts

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