2022
DOI: 10.1109/access.2022.3158357
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Philippine Eagle Optimization Algorithm

Abstract: We propose the Philippine Eagle Optimization Algorithm (PEOA), which is a meta-heuristic and population-based search algorithm inspired by the territorial hunting behavior of the Philippine Eagle. From an initial random population of eagles in a given search space, the best eagle is selected and undergoes a local food search using the interior point method as its means of exploitation. The population is then divided into three subpopulations, and each subpopulation is assigned an operator which aids in the exp… Show more

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Cited by 10 publications
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“…Several algorithms are continuously being developed that can obtain the global minimum with high accuracy and low computational time [41, 42, 43]. Yearly competitions are held to determine algorithms that can solve optimization problems given certain criteria and benchmark functions.…”
Section: Methodsmentioning
confidence: 99%
“…Several algorithms are continuously being developed that can obtain the global minimum with high accuracy and low computational time [41, 42, 43]. Yearly competitions are held to determine algorithms that can solve optimization problems given certain criteria and benchmark functions.…”
Section: Methodsmentioning
confidence: 99%