Review and analysis for the Red Deer Algorithm

Zitar, Raed Abu; Abualigah, Laith; Al-Dmour, Nidal A.

doi:10.1007/s12652-021-03602-1

Cited by 27 publications

(8 citation statements)

References 39 publications

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“…Similar work has been conducted by Wunnava et al [245]. In addition to using DE, they modified the exploration phase by limiting the escape energy in the interval ∈ [2,3].…”

Section: Image Processingmentioning

confidence: 88%

“…The optimization area has witnessed a wide range of applications in understanding the solutions of many new problems due to the fast progress of industrial technologies and artificial intelligence [1][2][3][4][5]. Such rapid progress requires the development of new technologies for tackling hard and challenging problems in a reasonable time.…”

Section: Introductionmentioning

confidence: 99%

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Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications

et al. 2022

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The Harris hawk optimizer is a recent population-based metaheuristics algorithm that simulates the hunting behavior of hawks. This swarm-based optimizer performs the optimization procedure using a novel way of exploration and exploitation and the multiphases of search. In this review research, we focused on the applications and developments of the recent well-established robust optimizer Harris hawk optimizer (HHO) as one of the most popular swarm-based techniques of 2020. Moreover, several experiments were carried out to prove the powerfulness and effectivness of HHO compared with nine other state-of-art algorithms using Congress on Evolutionary Computation (CEC2005) and CEC2017. The literature review paper includes deep insight about possible future directions and possible ideas worth investigations regarding the new variants of the HHO algorithm and its widespread applications.

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“…Similar work has been conducted by Wunnava et al [245]. In addition to using DE, they modified the exploration phase by limiting the escape energy in the interval ∈ [2,3].…”

Section: Image Processingmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications

et al. 2022

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“…• Understanding and proving the convergence of RDA under particular cases will be crucial. Application: Solutions for engineering, computer science, and business problems [71].…”

Section: Disadvantagementioning

confidence: 99%

Optimized Routing of UAVs Using Bio-Inspired Algorithm in FANET: A Systematic Review

et al. 2023

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Flying Ad hoc Network (FANET) is a self-organizing wireless network that constitutes swarms of flying nodes, namely Unmanned Aerial Vehicles (UAV), and communicates in close proximity. It has various distinguishing characteristics that set it apart from other ad hoc networks, posing some issues, particularly in routing. UAVs are highly dynamic and have frequent topology changes. Hence, the network urges an efficient routing technique to coordinate the node swarms and enhance the evaluation metrics of the network. The biological behavior of various living organisms, such as animals, insects, microbes, and humans, inspires researchers to solve various routing problems in ad hoc networks. Decentralized self-organized swarms of UAVs closely resemble the biological system. Therefore, the Bio-Inspired Algorithms (BIA) resolve a wide range of routing challenges in FANET. A Systematic Literature Review (SLR) is adopted to survey FANET routing methods based on non-hybrid and hybrid BIAs to properly comprehend the existing bio-inspired strategies used in FANET routing. The review will be beneficial for the researchers in the specified area. To our knowledge, no SLR has been conducted about the FANET routing protocol that employs BIA. This paper examines (1) the characteristics and features of existing routing algorithms, (2) the need of both non-hybrid and hybrid BIA for effective and optimal routing, (3) an analysis of the method's simulation tools, evaluation metrics, and mobility models, (4) the current issues and scope of the study related to the specified method.INDEX TERMS Bio-Inspired Algorithm (BIA), Flying Ad hoc Networks (FANET), Metaheuristic optimization, Systematic Literature Review (SLR), Unmanned Aerial Vehicle (UAV).

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“…The mating technique starts after a hind was selected. During this computation, a stag has been assumed rather than a commander [20]. Fig.…”

Section: Design Of Rda Based Feature Selectionmentioning

confidence: 99%

A Novel Outlier Detection with Feature Selection Enabled Streaming Data Classification

Rajakumar¹,

Devi²

2023

Intelligent Automation &Amp; Soft Computing

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Review and analysis for the Red Deer Algorithm

Cited by 27 publications

References 39 publications

Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications

Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications

Optimized Routing of UAVs Using Bio-Inspired Algorithm in FANET: A Systematic Review

A Novel Outlier Detection with Feature Selection Enabled Streaming Data Classification

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