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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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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Convex optimization problem prototyping for image reconstruction in computed tomography with the Chambolle-Pock algorithm [PDF]
, 2012 The primal-dual optimization algorithm developed in Chambolle and Pock (CP), 2011 is applied to various convex optimization problems of interest in computed tomography (CT) image reconstruction. This algorithm allows for rapid prototyping of optimization
Barrett H H +23 more
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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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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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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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Optimal Algorithms for Distributed Optimization
CoRR, 2017 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
Dianzi Jishu Yingyong, 2021 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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Porcellio scaber algorithm (PSA) for solving constrained optimization problems [PDF]
, 2017 In this paper, we extend a bio-inspired algorithm called the porcellio scaber algorithm (PSA) to solve constrained optimization problems, including a constrained mixed discrete-continuous nonlinear optimization problem.
Guo, Hongliang, Li, Shuai, Zhang, Yinyan
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Mexican Axolotl Optimization: A Novel Bioinspired Heuristic
Mathematics, 2021 When facing certain problems in science, engineering or technology, it is not enough to find a solution, but it is essential to seek and find the best possible solution through optimization.
Yenny Villuendas-Rey +4 more
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