Results 21 to 30 of about 5,023,817 (336)

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

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.
Iqbal, Mudassar, Montes De Oca Roldan, Marco, Marco A. Montes de Oca, Mudassar Iqbal, de Oca, Marco A. Montes, Iqbal, Musaddar   +5 more
core   +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

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

Improved Particle Swarm Optimization Algorithm for AGV Path Planning

IEEE Access, 2021
In smart manufacturing workshops, automated guided vehicles (AGVs) are increasingly used to transport materials required for machine tools. This paper studies the AGV path planning problem of a one-line production line in the workshop, establishes a ...
Qiuyun Tao, H. Sang, Heng-wei Guo, Ping Wang   +3 more
semanticscholar   +1 more source

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   +1 more source

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
doaj   +1 more source

A Dynamic Neighborhood-Based Switching Particle Swarm Optimization Algorithm

IEEE Transactions on Cybernetics, 2020
In this article, a dynamic-neighborhood-based switching PSO (DNSPSO) algorithm is proposed, where a new velocity updating mechanism is designed to adjust the personal best position and the global best position according to a distance-based dynamic ...
Nianyin Zeng, Zidong Wang, Weibo Liu, Hong Zhang, K. Hone, Xiao-Hui Liu   +5 more
semanticscholar   +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

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
Yang, S, Li, Changhe, Shengxiang Yang, Yang, Shengxiang, Changhe Li, Li, C   +5 more
core   +1 more source