Results 1 to 10 of about 1,773,374 (329)
IEEE Access, 2022 In this paper, a new bio-inspired metaheuristic algorithm called Zebra Optimization Algorithm (ZOA) is developed; its fundamental inspiration is the behavior of zebras in nature.
Eva Trojovska +2 more
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CIOA: Circle-Inspired Optimization Algorithm, an algorithm for engineering optimization
SoftwareX, 2022 This paper presents a new, robust and very efficient metaheuristic optimization algorithm, called Circle Inspired Optimization Algorithm (CIOA), for solving constrained and unconstrained engineering optimization problems. The inspiration for the proposed
Otávio Augusto Peter de Souza +1 more
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Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm
Scientific Reports, 2023 The novelty of this article lies in introducing a novel stochastic technique named the Hippopotamus Optimization (HO) algorithm. The HO is conceived by drawing inspiration from the inherent behaviors observed in hippopotamuses, showcasing an innovative ...
Mohammad Hussein Amiri +4 more
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Camera Calibration Optimization Algorithm Based on Nutcracker Optimization Algorithm [PDF]
SensorsCamera calibration is a core task in computer vision. Traditional calibration methods usually achieve approximate solutions due to the complexity of solving nonlinear equations, resulting in reprojection errors. This article proposes a camera calibration
Lei Li, Zelong Xiao, Taiyang Hu
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The Arithmetic Optimization Algorithm
Computer Methods in Applied Mechanics and Engineering, 2021 Este trabajo propone un nuevo método metaheurístico llamado Algoritmo de Optimización Aritmética (AOA) que utiliza el comportamiento de distribución de los principales operadores aritméticos en matemáticas, incluyendo (Multiplicación (M), División (D), Resta (S) y Suma (A)).
Laith Abualigah +2 more
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Northern Goshawk Optimization: A New Swarm-Based Algorithm for Solving Optimization Problems
IEEE Access, 2021 Optimization algorithms are one of the effective stochastic methods in solving optimization problems. In this paper, a new swarm-based algorithm called Northern Goshawk Optimization (NGO) algorithm is presented that simulates the behavior of northern ...
Mohammad Dehghani +2 more
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Raccoon Optimization Algorithm [PDF]
IEEE Access, 2019 Population-based meta-heuristic is a high-level method intended to provide sufficient solution for problems with incomplete information among a massive volume of solutions. However, it does not guarantee to attain global optimum in a reasonable time.
Sina Zangbari Koohi +3 more
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Analysis and Research of Several New Intelligent Optimization Algorithms [PDF]
Jisuanji kexue yu tansuo, 2022 Intelligent optimization algorithms (IOA) refer to a kind of algorithm that is used to solve optimization problems by imitating the survival and evolution process of natural creatures or physical phenomena as the algorithm principle.
ZHANG Jiulong, WANG Xiaofeng, LU Lei, NIU Pengfei
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Intelligent optimization method of joint firepower strike plan based on CE-QPSO algorithm [PDF]
Zhihui kongzhi yu fangzhen, 2023 Aiming at the problem of "fast and precise" in the optimization of joint fire strike scheme, a cross-entropy-quantum particle swarm optimization algorithm is designed, and an intelligent optimization method of joint fire strike scheme based on this ...
WANG Zancheng, HE Xiaoyuan
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IEEE Access, 2022 In this paper, a new bio-inspired metaheuristic algorithm called Tasmanian Devil Optimization (TDO) is designed that mimics Tasmanian devil behavior in nature. The fundamental inspiration used in TDO is simulation of the feeding behavior of the Tasmanian
Mohammad Dehghani +2 more
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