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Multi-swarm optimization
Multi-swarm optimization is a variant of particle swarm optimization (PSO) based on the use of multiple sub-swarms instead of one (standard) swarm…
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Related topics
Related topics
8 relations
Differential evolution
Estimation of distribution algorithm
Global optimization
Glossary of artificial intelligence
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
MULTI-SWARM OPTIMIZATION ALGORITHM AND ITS APPLICATION FOR SOLVING BINARY CLASSIFICATION
Nataliya Ilyakhova
,
Nataliya Krasnoshlyk
2020
Corpus ID: 219813463
2019
2019
Use of Particle Multi-Swarm Optimization for Handling Tracking Problems
Hiroshi Sho
Swarm Intelligence
2019
Corpus ID: 131952208
As prior work, several multiple particle swarm optimizers with sensors, that is, MPSOS, MPSOIWS, MCPSOS, and HPSOS, were proposed…
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2018
2018
Optimal Power Flow Problem Analysis Incorporating TCSC using Multi-Swarm Optimization Algorithm
D. V. Kumar
,
A. Babu
,
S. Sivanagaraju
2018
Corpus ID: 59496601
This paper presents optimal power flow technique namely multi swarm optimization with FACTS device. This method is used to solve…
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2015
2015
Application of test functions for the evaluation of metaheuristic algorithms
K. Jármai
,
Gábor Zoltán Marcsák
,
Csaba Barcsák
2015
Corpus ID: 69192539
In this paper the analysis and comparison of very recent heuristic methods are made. It is clear, that any two optimization…
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2014
2014
Optimal Power Flow Problem Analysis Incorporating TCSC Using Multi-Swarm Optimization Algorithm
H. Mic
2014
Corpus ID: 114251759
This paper presents optimal power flow technique namely multi swarm optimization with FACTS device. This method is used to solve…
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2014
2014
NOVEL METHOD TO FIND THE PARAMETER FOR NOISE REMOVAL FROM MULTI-CHANNEL ECG WAVEFORMS
M. Srinivasulu
,
K. Reddy
,
Hod Ece
2014
Corpus ID: 3129573
In general, electrocardiogram (ECG) waveforms are aby noise and artifacts and it is essential to remove the noise in order to…
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2012
2012
Adaptive multi-population differential evolution for dynamic environments
D. Plessis
2012
Corpus ID: 81227549
Dynamic optimisation problems are problems where the search space does not remain constant over time. Evolutionary algorithms…
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2012
2012
Solving Permutation Flow Shop Scheduling Problem with a Cooperative Multi-swarm PSO Algorithm ⋆
Desheng Li
,
Na Deng
2012
Corpus ID: 16100965
In this paper, an Electoral Cooperative Particle Swarm Optimization (ECPSO) based on several subswarms is presented to solving…
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2012
2012
Parallel Multi-Swarm Optimization Framework for Search Problems in Water Distribution Systems
S. Sreepathi
,
Downey Brill
,
R. Ranjithan
,
G. Mahinthakumar
2012
Corpus ID: 61320897
Population based heuristic search methods such as evolutionary algorithms (EA) and particle swarm optimization (PSO) methods are…
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