On the public citation graph

An Intelligent Chimp Optimizer for Scheduling of IoT Application Tasks in Fog Computing

0 signed · 94 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/ett.3770openalex-snapshot
An efficient task scheduling approach using moth‐flame optimization algorithm for cyber‐physical system applications in fog computing
inferredcites →https://doi.org/10.1002/spe.995openalex-snapshot
CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
inferredcites →https://doi.org/10.1007/978-3-319-14325-5_28openalex-snapshot
Hierarchical Approach for Green Workload Management in Distributed Data Centers
inferredcites →https://doi.org/10.1007/s00366-020-01233-2openalex-snapshot
SChoA: a newly fusion of sine and cosine with chimp optimization algorithm for HLS of datapaths in digital filters and engineering applications
inferredcites →https://doi.org/10.1007/s00521-021-06078-4openalex-snapshot
Marine predators algorithm for optimal allocation of active and reactive power resources in distribution networks
inferredcites →https://doi.org/10.1007/s10462-020-09867-wopenalex-snapshot
Chaos Game Optimization: a novel metaheuristic 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/s10586-020-03075-5openalex-snapshot
A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments
inferredcites →https://doi.org/10.1007/s11227-017-2083-xopenalex-snapshot
Efficient and dynamic scaling of fog nodes for IoT devices
inferredcites →https://doi.org/10.1007/s12652-017-0659-1openalex-snapshot
The impact of the hybrid platform of internet of things and cloud computing on healthcare systems: opportunities, challenges, and open problems
inferredcites →https://doi.org/10.1007/s12652-018-1071-1openalex-snapshot
An efficient Swarm-Intelligence approach for task scheduling in cloud-based internet of things applications
inferredcites →https://doi.org/10.1007/s13369-021-05688-3openalex-snapshot
A New Improved Model of Marine Predator Algorithm for Optimization Problems
inferredcites →https://doi.org/10.1016/j.advengsoft.2016.01.008openalex-snapshot
The Whale Optimization Algorithm
inferredcites →https://doi.org/10.1016/j.amc.2014.03.152openalex-snapshot
Bare-bones particle swarm optimization with disruption operator
inferredcites →https://doi.org/10.1016/j.apacoust.2019.107005openalex-snapshot
Classification of underwater acoustical dataset using neural network trained by Chimp Optimization Algorithm
inferredcites →https://doi.org/10.1016/j.apm.2020.12.021openalex-snapshot
Atomic orbital search: A novel metaheuristic algorithm
inferredcites →https://doi.org/10.1016/j.asoc.2019.105583openalex-snapshot
CCSA: Conscious Neighborhood-based Crow Search Algorithm for Solving Global Optimization 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.2020.113609openalex-snapshot
The Arithmetic Optimization Algorithm
inferredcites →https://doi.org/10.1016/j.eswa.2020.113338openalex-snapshot
Chimp optimization algorithm
inferredcites →https://doi.org/10.1016/j.eswa.2020.113377openalex-snapshot
Marine Predators Algorithm: A nature-inspired metaheuristic
inferredcites →https://doi.org/10.1016/j.eswa.2021.114685openalex-snapshot
Chameleon Swarm Algorithm: A bio-inspired optimizer for solving engineering design problems
inferredcites →https://doi.org/10.1016/j.eswa.2021.116158openalex-snapshot
Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer
inferredcites →https://doi.org/10.1016/j.future.2011.04.017openalex-snapshot
Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing
inferredcites →https://doi.org/10.1016/j.future.2021.05.026openalex-snapshot
Advanced optimization technique for scheduling IoT tasks in cloud-fog computing environments
inferredcites →https://doi.org/10.1016/j.ins.2019.10.035openalex-snapshot
A scheduling scheme in the cloud computing environment using deep Q-learning
inferredcites →https://doi.org/10.1016/j.iot.2019.100118openalex-snapshot
Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges
inferredcites →https://doi.org/10.1016/j.knosys.2021.107241openalex-snapshot
Metaheuristic algorithm for anomaly detection in Internet of Things leveraging on a neural-driven multiagent system
inferredcites →https://doi.org/10.1016/j.micpro.2020.103301openalex-snapshot
IoT enabled cancer prediction system to enhance the authentication and security using cloud computing
inferredcites →https://doi.org/10.1016/j.simpat.2021.102336openalex-snapshot
A scheduling-based dynamic fog computing framework for augmenting resource utilization
inferredcites →https://doi.org/10.1038/s41598-020-71294-2openalex-snapshot
COVID-19 image classification using deep features and fractional-order marine predators algorithm
inferredcites →https://doi.org/10.1109/access.2017.2778504openalex-snapshot
A Survey on the Edge Computing for the Internet of Things
inferredcites →https://doi.org/10.1109/access.2020.2973758openalex-snapshot
Task Scheduling Algorithm Based on Improved Firework Algorithm in Fog Computing
inferredcites →https://doi.org/10.1109/access.2020.2983742openalex-snapshot
A Multi-Objective Task Scheduling Method for Fog Computing in Cyber-Physical-Social Services
inferredcites →https://doi.org/10.1109/access.2020.3000420openalex-snapshot
A Robust Strategy Based on Marine Predators Algorithm for Large Scale Photovoltaic Array Reconfiguration to Mitigate the Partial Shading Effect on the Performance of PV System
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/icabcd.2019.8851038openalex-snapshot
Multi-Objective Optimization Approach for Task Scheduling in Fog Computing
inferredcites →https://doi.org/10.1109/jiot.2020.3012617openalex-snapshot
Energy-Aware Metaheuristic Algorithm for Industrial-Internet-of-Things Task Scheduling Problems in Fog Computing Applications
inferredcites →https://doi.org/10.1109/tcyb.2018.2832640openalex-snapshot
Multiobjective Cloud Workflow Scheduling: A Multiple Populations Ant Colony System Approach
inferredcites →https://doi.org/10.1109/tii.2018.2793350openalex-snapshot
Secure Data Storage and Searching for Industrial IoT by Integrating Fog Computing and Cloud Computing
inferredcites →https://doi.org/10.1109/tii.2020.3004248openalex-snapshot
Manufacturing Services Scheduling With Supply–Demand Dual Dynamic Uncertainties Toward Industrial Internet Platforms
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/10.1109/tnsm.2016.2554143openalex-snapshot
A Pretreatment Workflow Scheduling Approach for Big Data Applications in Multicloud Environments
inferredcites →https://doi.org/10.1145/2757384.2757397openalex-snapshot
A Survey of Fog Computing
inferredcites →https://doi.org/10.1155/2021/9114113openalex-snapshot
IoT Workflow Scheduling Using Intelligent Arithmetic Optimization Algorithm in Fog Computing
inferredcites →https://doi.org/10.1166/jctn.2017.6715openalex-snapshot
D-Choices Scheduling: A Randomized Load Balancing Algorithm for Scheduling in the Cloud
inferredcites →https://doi.org/10.3390/math8112097openalex-snapshot
Discovering Correlation Indices for Link Prediction Using Differential Evolution
inferredcites →https://doi.org/10.3390/math9192348openalex-snapshot
A Stackelberg Game Approach toward Migration of Enterprise Applications to the Cloud
inferredcites →https://doi.org/10.3390/math9192522openalex-snapshot
Optimized Task Group Aggregation-Based Overflow Handling on Fog Computing Environment Using Neural Computing
inferredcites →https://doi.org/10.3390/rs8110963openalex-snapshot
Cloud Extraction from Chinese High Resolution Satellite Imagery by Probabilistic Latent Semantic Analysis and Object-Based Machine Learning

What points at this work

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

inferred← citeshttps://doi.org/10.1002/dac.5483openalex-snapshot
A novel membrane‐inspired multiverse optimizer algorithm for quality of service‐aware cloud web service composition with service level agreements
inferred← citeshttps://doi.org/10.1007/978-3-032-21171-2_12openalex-snapshot
CPRGO: Delay-Aware Task Scheduling Strategy for Edge-Cloud Continuum in Multi-Hop Network Environments
inferred← citeshttps://doi.org/10.1007/978-981-99-1745-7_16openalex-snapshot
Task Scheduling in Fog Assisted Cloud Environment Using Hybrid Metaheuristic Algorithm
inferred← citeshttps://doi.org/10.1007/s00521-024-10667-4openalex-snapshot
Polyp image segmentation based on improved planet optimization algorithm using reptile search algorithm
inferred← citeshttps://doi.org/10.1007/s00521-025-11104-wopenalex-snapshot
Adaptive hybrid enhanced flower pollination-based simulated annealing scheme for task scheduling in edge-cloud continuum
inferred← citeshttps://doi.org/10.1007/s00607-025-01430-1openalex-snapshot
Fog-based architecture and efficient task offloading methodology in IoT-based applications for smart irrigation system
inferred← citeshttps://doi.org/10.1007/s00607-025-01502-2openalex-snapshot
Mitigating the task scheduling problem in fog computing environments using improved marine predators optimization algorithm
inferred← citeshttps://doi.org/10.1007/s10462-023-10416-4openalex-snapshot
Hybrid chimp optimization algorithm for degree reduction of ball Said–Ball curves
inferred← citeshttps://doi.org/10.1007/s10586-023-04054-2openalex-snapshot
Task scheduling in cloud computing environment based on enhanced marine predator algorithm
inferred← citeshttps://doi.org/10.1007/s10586-024-04347-0openalex-snapshot
Task scheduling approach in fog and cloud computing using Jellyfish Search (JS) optimizer and Improved Harris Hawks optimization (IHHO) algorithm enhanced by deep learning
inferred← citeshttps://doi.org/10.1007/s10586-024-04689-9openalex-snapshot
Quasi-opposition Remora Optimizer based Nelder–Mead algorithm for tasks scheduling in cloud
inferred← citeshttps://doi.org/10.1007/s10586-025-05435-5openalex-snapshot
Faddeer: a deep multi-agent reinforcement learning-based scheduling algorithm for aperiodic tasks in heterogeneous fog computing networks
inferred← citeshttps://doi.org/10.1007/s10586-025-05632-2openalex-snapshot
Mitigating the task scheduling Problem in fog computing environments using marine predators optimization algorithm
inferred← citeshttps://doi.org/10.1007/s11227-026-08637-9openalex-snapshot
CHIMP-BC: a decentralized framework for energy-aware task offloading scheduling in fog-edge computing leveraging blockchain
inferred← citeshttps://doi.org/10.1007/s13748-025-00366-zopenalex-snapshot
Multi-parametric and priority driven particle swarm (MPPPSO) optimized task scheduling approach for improving performance of fog computing system
inferred← citeshttps://doi.org/10.1007/s42235-023-00389-zopenalex-snapshot
The Application of Hybrid Krill Herd Artificial Hummingbird Algorithm for Scientific Workflow Scheduling in Fog Computing
inferred← citeshttps://doi.org/10.1007/s42235-023-00414-1openalex-snapshot
Recent Advances of Chimp Optimization Algorithm: Variants and Applications
inferred← citeshttps://doi.org/10.1016/j.chaos.2023.113363openalex-snapshot
Hybrid intelligence strategy for techno-economic reactive power dispatch approach to ensure system security
inferred← citeshttps://doi.org/10.1016/j.chb.2024.108269openalex-snapshot
A novel segmented random search based batch scheduling algorithm in fog computing
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106071openalex-snapshot
Classification Technique and its Combination with Clustering and Association Rule Mining in Educational Data Mining — A survey
inferred← citeshttps://doi.org/10.1016/j.suscom.2024.101077openalex-snapshot
Hybrid Markov chain-based dynamic scheduling to improve load balancing performance in fog-cloud environment
inferred← citeshttps://doi.org/10.1038/s41598-022-21636-zopenalex-snapshot
Improved 3D-ResNet sign language recognition algorithm with enhanced hand features
inferred← citeshttps://doi.org/10.1109/access.2023.3343877openalex-snapshot
A Review on Task Scheduling Techniques in Cloud and Fog Computing: Taxonomy, Tools, Open Issues, Challenges, and Future Directions
inferred← citeshttps://doi.org/10.1109/access.2024.3398017openalex-snapshot
Ripple-Induced Whale Optimization Algorithm for Independent Tasks Scheduling on Fog Computing
inferred← citeshttps://doi.org/10.1109/c2i663243.2024.10894916openalex-snapshot
EFO: Resource Aware Scheduling Model for Cloud Computing Using Meta-Heuristic Algorithm
inferred← citeshttps://doi.org/10.1109/eict61409.2023.10427838openalex-snapshot
Optimizing Bandwidth Cost, Energy Consumption, Delay, and Load in a Cooperative Fog Environment
inferred← citeshttps://doi.org/10.1109/icatiece56365.2022.10046902openalex-snapshot
Multi-Cloud based Task Scheduling using Many Objective Intelligent Technique in IoT
inferred← citeshttps://doi.org/10.1109/iceect61758.2024.10739103openalex-snapshot
Fogoptimize: Advancing Job Scheduling Efficiency in Fog Computing through Optimization
inferred← citeshttps://doi.org/10.1109/icoici62503.2024.10696772openalex-snapshot
Optimized Task Scheduling for IIoT Machine Prediction in Fog Computing Using Prairie Dog Optimization Algorithm
inferred← citeshttps://doi.org/10.1109/icoici65217.2025.11253413openalex-snapshot
Intrusion Detection for MQTT IoT Traffic using Evolutionary Feature Selection, Ensemble Learning, and Explainable AI
inferred← citeshttps://doi.org/10.1109/odicon54453.2022.10009953openalex-snapshot
Enhancing Power System Security by Chaotic Hybrid Intelligence Strategy for Reactive Power Dispatch
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/10.1515/tjj-2025-0006openalex-snapshot
Minimum specific fuel consumption performance-seeking control for variable cycle engine based on CHOA-SQP hybrid algorithm and active disturbance rejection control
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/10.2139/ssrn.7198440openalex-snapshot
AI-Driven Bio-Inspired Energy Management for Photovoltaic-Based Microgrids: A Unified Stochastic Optimization Framework with Theoretical Convergence Guarantees
inferred← citeshttps://doi.org/10.3390/math10111894openalex-snapshot
Dynamic Jellyfish Search Algorithm Based on Simulated Annealing and Disruption Operators for Global Optimization with Applications to Cloud Task Scheduling
inferred← citeshttps://doi.org/10.3390/math10111929openalex-snapshot
Binary Aquila Optimizer for Selecting Effective Features from Medical Data: A COVID-19 Case Study
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/s22114204openalex-snapshot
Multi-Swarm Algorithm for Extreme Learning Machine Optimization
inferred← citeshttps://doi.org/10.3390/s23010232openalex-snapshot
Real-Time Scheduling in IoT Applications: A Systematic Review
inferred← citeshttps://doi.org/10.3390/s23052445openalex-snapshot
EEOA: Cost and Energy Efficient Task Scheduling in a Cloud-Fog Framework
inferred← citeshttps://doi.org/10.3390/su14137961openalex-snapshot
A Fog-Cluster Based Load-Balancing Technique
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
inferred← citeshttps://doi.org/10.4108/eetsis.3922openalex-snapshot
EAEFA: An Efficient Energy-Aware Task Scheduling in Cloud Environment
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.