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An Efficient Combination of Genetic Algorithm and Particle Swarm Optimization for Scheduling Data-Intensive Tasks in Heterogeneous Cloud Computing

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What this work says

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

inferredcites →https://doi.org/10.1002/cpe.6513openalex-snapshot
Metaheuristic task scheduling algorithms for cloud computing environments
inferredcites →https://doi.org/10.1002/cpe.7155openalex-snapshot
A new method for task scheduling in fog‐based medical healthcare systems using a hybrid nature‐inspired algorithm
inferredcites →https://doi.org/10.1002/cpe.7252openalex-snapshot
Multi‐objective task scheduling in cloud computing
inferredcites →https://doi.org/10.1007/bf01530777openalex-snapshot
A formal analysis of the role of multi-point crossover in genetic algorithms
inferredcites →https://doi.org/10.1007/s00521-021-06002-wopenalex-snapshot
Multi-objective hybrid genetic algorithm for task scheduling problem in cloud computing
inferredcites →https://doi.org/10.1007/s00521-021-06747-4openalex-snapshot
Meta-heuristic optimization algorithms for solving real-world mechanical engineering design problems: a comprehensive survey, applications, comparative analysis, and results
inferredcites →https://doi.org/10.1007/s00607-021-00955-5openalex-snapshot
Nature inspired meta heuristic algorithms for optimization problems
inferredcites →https://doi.org/10.1007/s10462-022-10247-9openalex-snapshot
Heuristic and metaheuristic methods for the parallel unrelated machines scheduling problem: a survey
inferredcites →https://doi.org/10.1007/s10586-021-03432-yopenalex-snapshot
Multi-objective workflow scheduling in cloud computing: trade-off between makespan and cost
inferredcites →https://doi.org/10.1007/s10586-021-03512-zopenalex-snapshot
Task scheduling algorithms for energy optimization in cloud environment: a comprehensive review
inferredcites →https://doi.org/10.1007/s10586-022-03713-0openalex-snapshot
Energy efficiency in cloud computing data centers: a survey on software technologies
inferredcites →https://doi.org/10.1007/s10586-022-03740-xopenalex-snapshot
A quantum inspired hybrid SSA–GWO algorithm for SLA based task scheduling to improve QoS parameter in cloud computing
inferredcites →https://doi.org/10.1007/s11042-020-10139-6openalex-snapshot
A review on genetic algorithm: past, present, and future
inferredcites →https://doi.org/10.1007/s11227-020-03544-zopenalex-snapshot
OG-RADL: overall performance-based resource-aware dynamic load-balancer for deadline constrained Cloud tasks
inferredcites →https://doi.org/10.1007/s11227-021-04024-8openalex-snapshot
Novel dynamic load balancing algorithm for cloud-based big data analytics
inferredcites →https://doi.org/10.1007/s11227-021-04062-2openalex-snapshot
PSO-RDAL: particle swarm optimization-based resource- and deadline-aware dynamic load balancer for deadline constrained cloud tasks
inferredcites →https://doi.org/10.1007/s11227-022-04539-8openalex-snapshot
GSAGA: A hybrid algorithm for task scheduling in cloud infrastructure
inferredcites →https://doi.org/10.1007/s11227-022-04725-8openalex-snapshot
A pricing approach for optimal use of computing resources in cloud federation
inferredcites →https://doi.org/10.1007/s11277-021-09018-6openalex-snapshot
Prioritized Energy Efficient Task Scheduling Algorithm in Cloud Computing Using Whale Optimization Algorithm
inferredcites →https://doi.org/10.1007/s12065-021-00599-6openalex-snapshot
Optimized scheduling algorithm for soft Real-Time System using particle swarm optimization technique
inferredcites →https://doi.org/10.1007/s13369-021-06076-7openalex-snapshot
Multi Objective Task Scheduling in Cloud Computing Using Cat Swarm Optimization Algorithm
inferredcites →https://doi.org/10.1007/s40095-022-00497-2openalex-snapshot
Taxonomy of green cloud computing techniques with environment quality improvement considering: a survey
inferredcites →https://doi.org/10.1016/j.asoc.2022.108791openalex-snapshot
Genetically-modified Multi-objective Particle Swarm Optimization approach for high-performance computing workflow scheduling
inferredcites →https://doi.org/10.1016/j.jpdc.2021.03.003openalex-snapshot
Security-aware task scheduling with deadline constraints on heterogeneous hybrid clouds
inferredcites →https://doi.org/10.1016/j.swevo.2021.100868openalex-snapshot
Major Advances in Particle Swarm Optimization: Theory, Analysis, and Application
inferredcites →https://doi.org/10.1093/comjnl/bxab028openalex-snapshot
CWOA: Hybrid Approach for Task Scheduling in Cloud Environment
inferredcites →https://doi.org/10.1109/tii.2022.3215231openalex-snapshot
A Survey of Network Automation for Industrial Internet-of-Things Toward Industry 5.0
inferredcites →https://doi.org/10.1137/0402042openalex-snapshot
Complexity of Scheduling Parallel Task Systems
inferredcites →https://doi.org/10.1145/3326285.3329074openalex-snapshot
Who limits the resource efficiency of my datacenter
inferredcites →https://doi.org/10.1145/3512290.3528857openalex-snapshot
Efficient heuristics and metaheuristics for the unrelated parallel machine scheduling problem with release dates and setup times
inferredcites →https://doi.org/10.1145/3513002openalex-snapshot
Resource Allocation and Task Scheduling in Fog Computing and Internet of Everything Environments: A Taxonomy, Review, and Future Directions
inferredcites →https://doi.org/10.1155/2022/6604286openalex-snapshot
Hybrid Genetic Algorithm for IOMT‐Cloud Task Scheduling
inferredcites →https://doi.org/10.1186/s13677-022-00288-4openalex-snapshot
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
inferredcites →https://doi.org/10.3390/math11061548openalex-snapshot
PGA: A New Hybrid PSO and GA Method for Task Scheduling with Deadline Constraints in Distributed Computing
inferredcites →https://doi.org/10.3390/s22030920openalex-snapshot
AdPSO: Adaptive PSO-Based Task Scheduling Approach for Cloud Computing
inferredcites →https://doi.org/10.4018/ijamc.2022010105openalex-snapshot
Solving Task Scheduling Problem in the Cloud Using a Hybrid Particle Swarm Optimization Approach
inferredcites →https://doi.org/10.56042/jsir.v81i07.58069openalex-snapshot
Energy Aware Genetic Algorithm for Independent Task Scheduling in Heterogeneous Multi-Cloud Environment
inferredcites →https://doi.org/10.7717/peerj-cs.893openalex-snapshot
Integer particle swarm optimization based task scheduling for device-edge-cloud cooperative computing to improve SLA satisfaction

What points at this work

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

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Nature‐Inspired Optimization Techniques in Deep Learning for Cybersecurity
inferred← citeshttps://doi.org/10.1007/978-981-96-7140-3_21openalex-snapshot
Optimizing Task Allocation in Cloud Computing Environments Using Hybrid Meta-Heuristic Algorithms
inferred← citeshttps://doi.org/10.1007/978-981-97-8355-7_18openalex-snapshot
Optimized Task Scheduling in Diverse Distributed Systems with a Hybrid Genetic Algorithm Approach
inferred← citeshttps://doi.org/10.1007/s00521-025-11668-7openalex-snapshot
CloudSched-GA: an adaptive genetic optimizer for efficient and balanced task scheduling in cloud ecosystems
inferred← citeshttps://doi.org/10.1007/s10515-025-00578-6openalex-snapshot
Artificial intelligence and machine learning in enhancing software project management processes: A systematic literature review
inferred← citeshttps://doi.org/10.1007/s10586-024-04606-0openalex-snapshot
Research and optimization of task scheduling algorithm based on heterogeneous multi-core processor
inferred← citeshttps://doi.org/10.1007/s11227-025-07621-zopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11235-023-01098-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s42979-025-03757-0openalex-snapshot
A Survey on Task Scheduling in Edge-Cloud
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inferred← citeshttps://doi.org/10.1038/s41598-023-46284-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1038/s41598-025-19527-0openalex-snapshot
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Mapping of multiple plexcitons in disk supershape hybrid nanoparticles
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Optimized resource allocation in cloud computing for enhanced performance with modified particle swarm optimization
inferred← citeshttps://doi.org/10.1063/5.0268898openalex-snapshot
A cooperative jamming resource allocation method based on PSO-SSNOA
inferred← citeshttps://doi.org/10.1109/access.2024.3377236openalex-snapshot
Novel PSO-Based Algorithm for Workflow Time and Energy Optimization in a Heterogeneous Fog Computing Environment
inferred← citeshttps://doi.org/10.1109/access.2026.3660925openalex-snapshot
Optimizing Fully Fuzzy Linear Systems Using the Average Uniform Algorithm: A Fuzzy Data Modeling Approach
inferred← citeshttps://doi.org/10.1109/bigdia60676.2023.10429210openalex-snapshot
Federated Learning in Heterogeneous Cloud Computing Environment
inferred← citeshttps://doi.org/10.1109/gcat66372.2025.11368492openalex-snapshot
Multi-Objective Scheduling in Multi-Clouds: A DRL-Based Framework for SLA, Privacy, and Cost Optimization
inferred← citeshttps://doi.org/10.1109/iacis65746.2025.11210920openalex-snapshot
Energy-Efficient Task Scheduling in IoT using a Hybrid Genetic Algorithm with Local Search
inferred← citeshttps://doi.org/10.1109/icaaic64647.2025.11330780openalex-snapshot
Neutrosophic Virtual Machine Clustering and Kolmogorov–Arnold Task Classification for Quality of Service-Aware Task Scheduling in Cloud Computing
inferred← citeshttps://doi.org/10.1109/icrcicn68210.2025.11364678openalex-snapshot
Hybrid Task Scheduling Policy for Heterogeneous Cloud Environment Using CSO and SA
inferred← citeshttps://doi.org/10.1186/s13677-025-00788-zopenalex-snapshot
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inferred← citeshttps://doi.org/10.3390/electronics12173560openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/pr14030464openalex-snapshot
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inferred← citeshttps://doi.org/10.7717/peerj-cs.2128openalex-snapshot
Advancements in heuristic task scheduling for IoT applications in fog-cloud computing: challenges and prospects
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