2022
DOI: 10.1007/s13042-022-01703-7
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Binary African vultures optimization algorithm for various optimization problems

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Cited by 11 publications
(7 citation statements)
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“…Also, this study may help India to reach its renewable energy target that are set in COP26, UN for cleaner electricity. To solve discrete-optimization problem, binary version of AVOA is proposed recently [ 69 ] motivating authors to explore the scope of evolution and modification of suggested method for better performance in UC-EELD application in the future.…”
Section: Discussionmentioning
confidence: 99%
“…Also, this study may help India to reach its renewable energy target that are set in COP26, UN for cleaner electricity. To solve discrete-optimization problem, binary version of AVOA is proposed recently [ 69 ] motivating authors to explore the scope of evolution and modification of suggested method for better performance in UC-EELD application in the future.…”
Section: Discussionmentioning
confidence: 99%
“…We have considered the AVOA as our main candidate algorithm for this study, aiming to maximize visual comfort metrics, for the following reasons: Recent development: AVOA, introduced in 2021 29 , is a newly developed algorithm undergoing active refinement 30 35 , offering opportunities for further improvement and application expansion. Documented efficiency: Preliminary studies have demonstrated AVOA's consistently impressive performance, often surpassing established metaheuristic algorithms on benchmark optimization tasks 29 , 35 37 . Versatility: The algorithm exhibits versatility in addressing a wide range of optimization challenges, including those with multiple constraints and complex nonlinear problems 35 37 .…”
Section: Literature Reviewmentioning
confidence: 99%
“… Documented efficiency: Preliminary studies have demonstrated AVOA's consistently impressive performance, often surpassing established metaheuristic algorithms on benchmark optimization tasks 29 , 35 37 . Versatility: The algorithm exhibits versatility in addressing a wide range of optimization challenges, including those with multiple constraints and complex nonlinear problems 35 37 . …”
Section: Literature Reviewmentioning
confidence: 99%
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