Results 21 to 30 of about 600,362 (302)
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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Improved fruit fly algorithm on structural optimization
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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AraAssim/Coordinate-descent-optimization-algorithm-: Coordinate descent optimization algorithm
The C++ code is provided to minimize functions using coordinate descent optimization ...
AraAssim
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Optimization of Jaw Crusher Based on Improved Genetic Algorithm
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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Grey Wolf Optimization algorithm based on Cauchy-Gaussian mutation and improved search strategy
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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A Scalarizing One-Stage Algorithm for Efficient Multi-Objective Optimization [PDF]
A novel kriging-assisted algorithm is proposed for computationally expensive multi-objective optimization problems, such as those which arise in electromagnetic design. The algorithm combines the multiple objectives into a single objective, which it then
Hawe, G. I. +3 more
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A Hybrid Grasshopper Optimization Algorithm With Invasive Weed for Global Optimization
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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Improved Cascade Correlation Neural Network Model Based on Group Intelligence Optimization Algorithm
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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Optimal Algorithms for Distributed Optimization
In this paper, we study the optimal convergence rate for distributed convex optimization problems in networks. We model the communication restrictions imposed by the network as a set of affine constraints and provide optimal complexity bounds for four different setups, namely: the function $F(\xb) \triangleq \sum_{i=1}^{m}f_i(\xb)$ is strongly convex ...
César A. Uribe +3 more
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Optimization of beam pointing algorithm based on PowerPC
Based on PowerPC architecture, this paper proposes an optimization strategy of beam pointing algorithm, which is realized from the trigonometric function calculation optimization, floating point arithmetic optimization, loop nesting optimization, and ...
Lei Shulan, Wu Huixiang, Li Wenxue
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