Results 11 to 20 of about 29,346 (266)

Automatic Generation Method of Test Case Based on RACPSO [PDF]

Jisuanji gongcheng, 2016
To solve the problem of slow convergence rate,high possibilities of being trapped in local optimum,and low solution accuracy in Particle Swarm Optimization(PSO) algorithm when applied to automatic software Test Case(TC) generation,this paper presents an ...
HE Ying,XU Weihong,LI Yanglin
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An Improved Symbiosis Particle Swarm Optimization for Solving Economic Load Dispatch Problem

Journal of Electrical and Computer Engineering, 2021
To realize the sustainable development of social economy, energy conservation and emission reduction has become one of the problems that must be considered in the current power system.
Jianxia Zhang, Jianxin Zhang, Feng Zhang, Minglu Chi, Linbin Wan   +4 more
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Parameter identification of sound absorption model of porous materials based on modified particle swarm optimization algorithm.

PLoS ONE, 2021
Porous materials have been widely used in the field of noise control. The non-acoustical parameters involved in the sound absorption model have an important effect on the sound absorption performance of porous materials.
Xiaomei Xu, Ping Lin
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Sewage treatment system for improving energy efficiency based on particle swarm optimization algorithm

Energy Reports, 2022
The sewage treatment system based on particle swarm optimization algorithm to improve energy efficiency is analyzed. Firstly, this paper takes particle swarm optimization algorithm and activated sludge sewage treatment method as the research object, and ...
Bingqin Su, Yuting Lin, Jian Wang, Xiaohui Quan, Zhankun Chang, Chuangxue Rui   +5 more
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Study on Multi-Objective Optimization of High-Efficiency and Low-NOx Emissions of Power Station Boilers Based on Least Squares Support Vector Machines

发电技术, 2023
Aiming at the multi-objective optimization of boiler combustion system, on the basis of the established prediction model of boiler combustion system, the weighted-particle swarm algorithm and the multi-objective particle swarm optimization (MOPSO ...
LIANG Zhongrong, LAN Maowei, ZHENG Guo, HE Rongqiang, QU Keyang, GAN Yunhua   +5 more
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An Adaptive Particle Swarm Optimization Algorithm for Unconstrained Optimization [PDF]

Complexity, 2020
Conventional optimization methods are not efficient enough to solve many of the naturally complicated optimization problems. Thus, inspired by nature, metaheuristic algorithms can be utilized as a new kind of problem solvers in solution to these types of optimization problems.
Feng Qian, Mohammad Reza Mahmoudi, Hamid Parvin, Kim-Hung Pho, Bui Anh Tuan   +4 more
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The Application Based on Support Vector Machine Optimized by Particle Swarm Optimization and Genetic Algorithm

Journal of Harbin University of Science and Technology, 2019
In order to improve the precision of the parameter optimization, the research integrates the Particle Swarm Optimization Algorithm with Support Vector Machine, and matches the experimental data, and then establishes a steadystate model of complex process
MAN Chun-tao, LIU Bo, CAO Yong-cheng
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Stock Prediction Model Based on Mixed Fractional Brownian Motion and Improved Fractional-Order Particle Swarm Optimization Algorithm

Fractal and Fractional, 2022
As one of the main areas of value investing, the stock market attracts the attention of many investors. Among investors, market index movements are a focus of attention.
Hongwen Hu, Chunna Zhao, Jing Li, Yaqun Huang   +3 more
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Multiplicate Particle Swarm Optimization Algorithm

Journal of Computers, 2010
Using Particle Swarm Optimization to handle complex functions with high-dimension it has the problems of low convergence speed and sensitivity to local convergence. The convergence of particle swarm algorithm is studied, and the condition for the convergence of particle swarm algorithm is given.
Shang Gao 0001, Zaiyue Zhang, Cungen Cao
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A dynamic adaptive particle swarm optimization and genetic algorithm for different constrained engineering design optimization problems

Advances in Mechanical Engineering, 2019
A dynamic adaptive particle swarm optimization and genetic algorithm is presented to solve constrained engineering optimization problems. A dynamic adaptive inertia factor is introduced in the basic particle swarm optimization algorithm to balance the ...
Hao Zhu, Yumei Hu, Weidong Zhu
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