On the public citation graph

Dynamic Jellyfish Search Algorithm Based on Simulated Annealing and Disruption Operators for Global Optimization with Applications to Cloud Task Scheduling

https://doi.org/10.3390/math10111894
0 signed · 51 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1002/er.6125openalex-snapshot
Multistep energy consumption forecasting by metaheuristic optimization of time‐series analysis and machine learning
inferredcites →https://doi.org/10.1007/978-3-642-04944-6openalex-snapshot
Stochastic algorithms : foundations and applications : 5th international symposium, SAGA 2009 Sapporo, Japan, October 26-28, 2009 : proceedings
inferredcites →https://doi.org/10.1007/s00521-019-04452-xopenalex-snapshot
Artificial ecosystem-based optimization: a novel nature-inspired meta-heuristic algorithm
inferredcites →https://doi.org/10.1007/s10462-020-09933-3openalex-snapshot
An improved Henry gas solubility optimization algorithm for task scheduling in cloud computing
inferredcites →https://doi.org/10.1007/s11042-020-10255-3openalex-snapshot
Dragonfly algorithm: a comprehensive survey of its results, variants, and applications
inferredcites →https://doi.org/10.1007/s11277-021-08572-3openalex-snapshot
A Spectrum Defragmentation Algorithm Using Jellyfish Optimization Technique in Elastic Optical Network (EON)
inferredcites →https://doi.org/10.1007/s12652-020-02153-1openalex-snapshot
A better exploration strategy in Grey Wolf Optimizer
inferredcites →https://doi.org/10.1016/j.advengsoft.2016.01.008openalex-snapshot
The Whale Optimization Algorithm
inferredcites →https://doi.org/10.1016/j.amc.2020.125535openalex-snapshot
A novel metaheuristic optimizer inspired by behavior of jellyfish in ocean
inferredcites →https://doi.org/10.1016/j.asoc.2019.105631openalex-snapshot
Constrained multi-objective optimization algorithms: Review and comparison with application in reinforced concrete structures
inferredcites →https://doi.org/10.1016/j.asoc.2020.106367openalex-snapshot
A memory-based Grey Wolf Optimizer for global optimization tasks
inferredcites →https://doi.org/10.1016/j.asoc.2020.106392openalex-snapshot
Dynamic differential annealed optimization: New metaheuristic optimization algorithm for engineering applications
inferredcites →https://doi.org/10.1016/j.asoc.2020.106542openalex-snapshot
An efficient equilibrium optimizer with mutation strategy for numerical optimization
inferredcites →https://doi.org/10.1016/j.asoc.2020.106560openalex-snapshot
A new algorithm based on gray wolf optimizer and shuffled frog leaping algorithm to solve the multi-objective optimization problems
inferredcites →https://doi.org/10.1016/j.chaos.2020.109738openalex-snapshot
Multiobjective optimization inspired by behavior of jellyfish for solving structural design problems
inferredcites →https://doi.org/10.1016/j.cie.2005.01.018openalex-snapshot
An effective hybrid optimization approach for multi-objective flexible job-shop scheduling problems
inferredcites →https://doi.org/10.1016/j.cie.2021.107250openalex-snapshot
Aquila Optimizer: A novel meta-heuristic optimization algorithm
inferredcites →https://doi.org/10.1016/j.cma.2008.05.004openalex-snapshot
Computational methods in optimization considering uncertainties – An overview
inferredcites →https://doi.org/10.1016/j.cma.2020.113609openalex-snapshot
The Arithmetic Optimization Algorithm
inferredcites →https://doi.org/10.1016/j.energy.2021.119836openalex-snapshot
Jellyfish search algorithm for extracting unknown parameters of PEM fuel cell models: Steady-state performance and analysis
inferredcites →https://doi.org/10.1016/j.engappai.2006.03.003openalex-snapshot
An effective co-evolutionary particle swarm optimization for constrained engineering design problems
inferredcites →https://doi.org/10.1016/j.engappai.2019.103330openalex-snapshot
Barnacles Mating Optimizer: A new bio-inspired algorithm for solving engineering optimization problems
inferredcites →https://doi.org/10.1016/j.eswa.2018.04.028openalex-snapshot
Chaotic opposition-based grey-wolf optimization algorithm based on differential evolution and disruption operator for global optimization
inferredcites →https://doi.org/10.1016/j.eswa.2020.113338openalex-snapshot
Chimp optimization algorithm
inferredcites →https://doi.org/10.1016/j.eswa.2022.116924openalex-snapshot
Golden jackal optimization: A novel nature-inspired optimizer for engineering applications
inferredcites →https://doi.org/10.1016/j.knosys.2015.07.006openalex-snapshot
Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm
inferredcites →https://doi.org/10.1109/cci.2016.7778954openalex-snapshot
TCSA: A dynamic job scheduling algorithm for computational grids
inferredcites →https://doi.org/10.1109/tii.2018.2791619openalex-snapshot
Sustainable Service Allocation Using a Metaheuristic Technique in a Fog Server for Industrial Applications
inferredcites →https://doi.org/10.1109/tii.2022.3148288openalex-snapshot
An Improved Hybrid Swarm Intelligence for Scheduling IoT Application Tasks in the Cloud
inferredcites →https://doi.org/10.1126/science.220.4598.671openalex-snapshot
Optimization by Simulated Annealing
inferredcites →https://doi.org/10.1177/003754970107600201openalex-snapshot
A New Heuristic Optimization Algorithm: Harmony Search
inferredcites →https://doi.org/10.1214/ss/1177011077openalex-snapshot
Simulated Annealing
inferredcites →https://doi.org/10.3390/math10071100openalex-snapshot
An Intelligent Chimp Optimizer for Scheduling of IoT Application Tasks in Fog Computing

What points at this work

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

inferred← citeshttps://doi.org/10.1002/ett.4902openalex-snapshot
Adaptive Guided Differential Evolution‐based Slime Mould Algorithm‐based efficient Multi‐objective Task Scheduling for Cloud Computing Environments
inferred← citeshttps://doi.org/10.1007/s11063-023-11171-xopenalex-snapshot
A Novel Binary Artificial Jellyfish Search Algorithm for Solving 0–1 Knapsack Problems
inferred← citeshttps://doi.org/10.1007/s13369-022-07350-yopenalex-snapshot
Sardine Optimization Algorithm with Agile Locality and Globality Strategies for Real Optimization Problems
inferred← citeshttps://doi.org/10.1016/j.iot.2024.101196openalex-snapshot
An improved hunger game search optimizer based IoT task scheduling in cloud–fog computing
inferred← citeshttps://doi.org/10.1016/j.suscom.2025.101241openalex-snapshot
Chronological pufferfish optimization algorithm for task scheduling in cloud computing
inferred← citeshttps://doi.org/10.1038/s41598-025-99837-5openalex-snapshot
Modified grey wolf optimization for energy-efficient internet of things task scheduling in fog computing
inferred← citeshttps://doi.org/10.1109/csat61646.2023.00026openalex-snapshot
An Improved Scheduling Algorithm Based on Jellyfish Search for Measurement Data Process System
inferred← citeshttps://doi.org/10.1109/iccvbic71195.2026.11688676openalex-snapshot
Grey Wolf Optimization Method Based on Dynamic Workload Allocation for Video Conferencing System
inferred← citeshttps://doi.org/10.1109/isces58193.2023.10311364openalex-snapshot
Bi-Objective Task Scheduling Based on Heuristic Initialization of the Jellyfish Search Algorithm in Cloud Computing
inferred← citeshttps://doi.org/10.1109/tce.2023.3321783openalex-snapshot
Hybrid Enhanced Optimization-Based Intelligent Task Scheduling for Sustainable Edge Computing
inferred← citeshttps://doi.org/10.1186/s44147-026-01013-7openalex-snapshot
DLH-GWO: a dimension learning and hunting-enhanced grey wolf optimizer for multi-objective internet of things scheduling in fog environments
inferred← citeshttps://doi.org/10.21123/bsj.2024.10084openalex-snapshot
Efficient Task Scheduling Approach in Edge-Cloud Continuum based on Flower Pollination and Improved Shuffled Frog Leaping Algorithm
inferred← citeshttps://doi.org/10.33889/ijmems.2024.9.5.057openalex-snapshot
Security-Aware Deadline Constraint Task Scheduling using Hybrid Optimization of Modified Flying Squirrel Genetic Chameleon Swarm Algorithm
inferred← citeshttps://doi.org/10.3390/math10213968openalex-snapshot
A Multi-Service Composition Model for Tasks in Cloud Manufacturing Based on VS–ABC Algorithm
inferred← citeshttps://doi.org/10.3390/math10213976openalex-snapshot
A Track-Based Conference Scheduling Problem
inferred← citeshttps://doi.org/10.3390/math10234509openalex-snapshot
Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization
inferred← citeshttps://doi.org/10.3390/sym15101931openalex-snapshot
A Novel Hybrid MSA-CSA Algorithm for Cloud Computing Task Scheduling Problems
inferred← citeshttps://doi.org/10.3934/math.2024043openalex-snapshot
Boosting task scheduling in IoT environments using an improved golden jackal optimization and artificial hummingbird algorithm
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.