Results 21 to 30 of about 10,104,704 (372)
Pelican Optimization Algorithm: A Novel Nature-Inspired Algorithm for Engineering Applications
Italian National Conference on Sensors, 2022 Optimization is an important and fundamental challenge to solve optimization problems in different scientific disciplines. In this paper, a new stochastic nature-inspired optimization algorithm called Pelican Optimization Algorithm (POA) is introduced ...
Pavel Trojovský, Mohammad Dehghani
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Journal of Algorithms & Computational Technology, 2021 Software reliability growth models are nonlinear in nature, so it is difficult to estimate the proper parameters. An estimation method based on a modified whale optimization algorithm in which parameters are estimated is discussed in this paper.
Kezhong Lu, Zongmin Ma
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Frontiers of Mechanical Engineering, 2023 This paper introduces a new metaheuristic algorithm named the Osprey Optimization Algorithm (OOA), which imitates the behavior of osprey in nature. The fundamental inspiration of OOA is the strategy of ospreys when hunting fish from the seas.
Mohammad Dehghani, Pavel Trojovský
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Improved fruit fly algorithm on structural optimization
Brain Informatics, 2020 To improve the efficiency of the structural optimization design in truss calculation, an improved fruit fly optimization algorithm was proposed for truss structure optimization.
Yancang Li, Muxuan Han
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Grey Wolf Optimization algorithm based on Cauchy-Gaussian mutation and improved search strategy
Scientific Reports, 2022 The traditional Grey Wolf Optimization algorithm (GWO) has received widespread attention due to features of strong convergence performance, few parameters, and easy implementation.
Kewen Li +4 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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Optimization of Jaw Crusher Based on Improved Genetic Algorithm
Journal of Harbin University of Science and Technology, 2022 Aiming at the deficiency of ANSYS′s own optimization algorithm, the improved genetic algorithm is applied to the structural optimization design of ANSYS.Taking the whole structure optimization of jaw crusher as an example, the optimization platform of ...
SUN Yu-fei +3 more
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Fast multi-swarm optimization for dynamic optimization problems [PDF]
, 2008 This article is posted here with permission of IEEE - Copyright @ 2008 IEEEIn the real world, many applications are non-stationary optimization problems. This requires that the optimization algorithms need to not only find the global optimal solution but
Li, C, Yang, S
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Improved Cascade Correlation Neural Network Model Based on Group Intelligence Optimization Algorithm
Axioms, 2023 The Cascade Correlation learning algorithm is a special supervised learning algorithm for artificial neural network architecture. The optimization algorithm in the traditional neural network has the disadvantages of a single optimization goal, slow ...
Jun Deng, Qingxia Li, Wenhong Wei
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A Hybrid Grasshopper Optimization Algorithm With Invasive Weed for Global Optimization
IEEE Access, 2020 The grasshopper optimization algorithm (GOA) is a promising metaheuristic algorithm for optimization. In the current study, a hybrid grasshopper optimization algorithm with invasive weed optimization (IWGOA) is proposed.
Xiaofeng Yue, Hongbo Zhang, Haiyue Yu
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