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Multiple groups of gradient particle swarm optimization and its application in optimal operation of reservoir

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-13495-1_11openalex-snapshot
Grouping-Shuffling Particle Swarm Optimization: An Improved PSO for Continuous Optimization
inferredcites →https://doi.org/10.1007/978-981-99-3485-0_47openalex-snapshot
A Survey on Particle Swarm Optimization Algorithm
inferredcites →https://doi.org/10.1016/j.aei.2005.01.004openalex-snapshot
Comparison among five evolutionary-based optimization algorithms
inferredcites →https://doi.org/10.1016/j.asoc.2011.08.037openalex-snapshot
A new gradient based particle swarm optimization algorithm for accurate computation of global minimum
inferredcites →https://doi.org/10.1061/(asce)0733-9496(2003)129:3(210)openalex-snapshot
Optimization of Water Distribution Network Design Using the Shuffled Frog Leaping Algorithm
inferredcites →https://doi.org/10.1109/mhs.1995.494215openalex-snapshot
A new optimizer using particle swarm theory
inferredcites →https://doi.org/10.1111/j.1752-1688.1992.tb03157.xopenalex-snapshot
MULTIOBJECTIVE DECISION MAKING TECHNIQUES FOR RESERVOIR OPERATION1

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4637348openalex-extracted
Feature Selection Using Enhanced Idwpso with Knn (Exidwpso+Knn) for Multiple Objective Problem
inferred← citeshttps://doi.org/10.1007/s44163-025-00428-0openalex-snapshot
Multi-objective: hybrid particle swarm optimization with firefly algorithm for feature selection with Leaky ReLU
inferred← citeshttps://doi.org/10.1080/02626667.2018.1558814openalex-snapshot
An improved shuffled frog leaping algorithm and its application in the optimization of cascade reservoir operation
inferred← citeshttps://doi.org/10.1155/2022/4213217openalex-snapshot
Artificial Intelligence of Things‐Based Optimal Finite‐Time Terminal Attractor and Its Application to Maximum Power Point Tracking of Photovoltaic Arrays in Smart Cities
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