Results 11 to 20 of about 56,161 (302)

Particle filter with swarm move for optimization [PDF]

, 2008
Copyright @ Springer-Verlag Berlin Heidelberg 2008.We propose a novel generalized algorithmic framework to utilize particle filter for optimization incorporated with the swarm move method in particle swarm optimization (PSO).
Yang, S, Ji, Chunlin, Ji, C, Shengxiang Yang, Zhang, Yangyang, Tong, Mengmeng, Tong, M, Mengmeng Tong, Yang, Shengxiang, Zhang, Y, Chunlin Ji, Yangyang Zhang   +11 more
core   +12 more sources

An Estimation of Distribution Particle Swarm Optimization Algorithm [PDF]

, 2006
In this paper we present an estimation of distribution par-ticle swarm optimization algorithm that borrows ideas from recent de-velopments in ant colony optimization. In the classical particle swarm optimization algorithm, particles exploit their individual memory to ex-plore the search space.
Mudassar Iqbal, Marco Antonio Montes de Oca   +1 more
openaire   +3 more sources

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
doaj   +1 more source

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
doaj   +1 more source

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
doaj   +1 more source

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
doaj   +1 more source

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
doaj   +1 more source

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
doaj   +1 more source

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
openaire   +2 more sources

Adaptive particle swarm optimization [PDF]

, 2009
An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perform a global search over the entire search space with faster convergence ...
Zhan, Z-H., Li, Y., Chung, H.S-H., Zhang, J.   +3 more
core   +1 more source