Results 11 to 20 of about 4,867,076 (293)

Application of Swarm Intelligence Optimization Algorithms in Image Processing: A Comprehensive Review of Analysis, Synthesis, and Optimization

open access: yesBiomimetics, 2023
Image processing technology has always been a hot and difficult topic in the field of artificial intelligence. With the rise and development of machine learning and deep learning methods, swarm intelligence algorithms have become a hot research direction,
Minghai Xu   +4 more
doaj   +3 more sources

A Dynamic Multistage Hybrid Swarm Intelligence Optimization Algorithm for Function Optimization [PDF]

open access: yesDiscrete Dynamics in Nature and Society, 2012
A novel dynamic multistage hybrid swarm intelligence optimization algorithm is introduced, which is abbreviated as DM-PSO-ABC. The DM-PSO-ABC combined the exploration capabilities of the dynamic multiswarm particle swarm optimizer (PSO) and the ...
Daqing Wu, Jianguo Zheng
doaj   +3 more sources

Summary of New Group Intelligent Optimization Algorithms [PDF]

open access: yesZhengzhou Daxue xuebao. Gongxue ban, 2022
Intelligent optimization algorithms could be divided into four categories: nature-like optimization algorithm, evolutionary algorithm, plant growth simulation algorithm,and swarm intelligence optimization algorithm.The swarm intelligence optimization ...
GAO Yuelin   +4 more
doaj   +1 more source

An adaptive mutation operator for particle swarm optimization [PDF]

open access: yes, 2008
Copyright @ 2008 MICParticle swarm optimization (PSO) is an effcient tool for optimization and search problems. However, it is easy to betrapped into local optima due to its in-formation sharing mechanism.
Yang, S, Li, C, Korejo, I
core   +6 more sources

An Investigation into the Utilization of Swarm Intelligence for the Design of Dual Vector and Proportional–Resonant Controllers for Regulation of Doubly Fed Induction Generators Subject to Unbalanced Grid Voltages

open access: yesEnergies, 2022
This work presents an investigation into the use of swarm intelligence techniques for the control of the doubly fed induction generator under unbalanced grid voltages.
Kumeshan Reddy, Akshay Kumar Saha
doaj   +1 more source

An Investigation Into the use of Swarm Intelligence for an Evolutionary Algorithm Optimisation; The Optimisation Performance of Differential Evolution Algorithm Coupled with Stochastic Diffusion Search [PDF]

open access: yes, 2011
The integration of Swarm Intelligence (SI) algorithms and Evolutionary algorithms (EAs) might be one of the future approaches in the Evolutionary Computation (EC).
Blackwell, Tim   +2 more
core   +7 more sources

Swarm-Intelligence Optimization Method for Dynamic Optimization Problem

open access: yesMathematics, 2022
In recent years, the vigorous rise in computational intelligence has opened up new research ideas for solving chemical dynamic optimization problems, making the application of swarm-intelligence optimization techniques more and more widespread.
Rui Liu   +5 more
doaj   +1 more source

Route-Exchange Algorithm for Combinatorial Optimization Based on Swarm Intelligence

open access: yes, 2006
Inspired by the information interaction of individuals in swarm intelligence, a new algorithm for combinatorial optimization is proposed, which is called as Route-Exchange Algorithm (REA). This is a heuristic approach, in which the individuals of the swarm search the state space independently and simultaneously.
Xiaoxian He   +3 more
openaire   +3 more sources

Review of Swarm Intelligence for Solving Symmetric Traveling Salesman Problem

open access: yesQubahan Academic Journal, 2023
Swarm Intelligence algorithms are computational intelligence algorithms inspired from the collective behavior of real swarms such as ant colony, fish school, bee colony, bat swarm, and other swarms in the nature.
Awaz Ahmad Shaban   +3 more
doaj   +1 more source

A multi strategy improved pigeon-inspired optimization algorithm [PDF]

open access: yesITM Web of Conferences, 2022
Pigeon-inspired optimization algorithm is easy to fall into local optimization and low convergence accuracy in solving nonlinear optimization problems.
Liao Heng, Huang Huadong
doaj   +1 more source

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