Search Results - (( data distribution ((among algorithm) OR (ant algorithm)) ) OR ( _ validation system algorithm ))
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1
Performance Analysis of Swarm Intelligence-Based Routing Protocol for Mobile Ad Hoc Network and Wireless Mesh Networks
Published 2009“…Among various works inspired by ant colonies, the Ant Colony Optimization (ACO) metaheuristic algorithms are the most successful and popular, e.g., AntNet, Multiple Ant Colony Optimization (MACO) and AntHocNet. …”
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2
A Hybrid Metaheuristic Technique Based on Grey Wolf Optimisation, Symbiotic Organism Search, and Ant Colony Optimisation for Solving Multi-Objective Vehicle Routing Problems
Published 2025“…This study developed a hybrid metaheuristic algorithm involving grey wolf optimization, symbiotic organism search, and ant colony optimization (HMGSA) to address the multi-objective VRP. …”
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3
Ant system with heuristics for capacitated vehicle routing problem
Published 2013“…As a route improvement strategy, two heuristics which are the swap among routes procedure and 3-opt algorithm are also employed within the ASH algorithm. …”
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4
An Enhanced Ant Colony Optimisation Algorithm with the Hellinger Distance for Shariah-Compliant Securities Companies Bankruptcy Prediction
Published 2024“…The application of ant colony optimization (ACO) algorithms has been limited by their performance on imbalanced datasets, particularly within bankruptcy prediction where the some of bankruptcy cases lead to skewed data distributions. …”
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5
Prediction of blood-brain barrier permeability of compounds by machine learning algorithms
Published 2024“…In this work, using the KNIME Analytics platform, 4 predictive models were developed with 4 ML algorithms followed by a ten-fold cross-validation approach to predict the external validation set. …”
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6
Multi-objective optimization for integrated task scheduling and load balancing in fog computing for IoT applications
Published 2025“…FOCS outperforms current techniques in comparative studies conducted under the same simulated conditions, further validating its effectiveness. The results demonstrate that the proposed FOCS algorithm considerably boosts performance through effective task distribution among fog nodes, reduces latency, energy conservation, and utilization cost.…”
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7
Energy-efficient power allocation for downlink non orthogonal multiple access networks based on game theory and genetic algorithm / Reem Mustafa Mah’d Al Debes
Published 2025“…These results validate the algorithm's robustness, particularly under imperfect CSI conditions, where traditional methods often fail. …”
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8
A review of concurrency control technique in distributed database
Published 2018“…Concurrency is a process where multiple simultaneous transactions of data in database system perform. Due to this condition, the concurrency control method can help and avoid the data inconsistencies when the system is accessed by the user. …”
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9
Systematic review on ai-blockchain based e-healthcare records management systems
Published 2022“…The performance of AI algorithms is enhanced through the data obtained from a data repository or a reliable, secure, trustworthy, and credible platform. …”
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Systematic review on ai-blockchain based e-healthcare records management systems
Published 2022“…The performance of AI algorithms is enhanced through the data obtained from a data repository or a reliable, secure, trustworthy, and credible platform. …”
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Ant colony optimization for capacitated vehicle routing problem.
Published 2012“…The proposed ACO utilized a pheromone evaporation procedure of standard ant algorithm in order to introduce an evaporation rate that depends on the solutions found by the artificial ants. …”
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12
Genetic algorithm-based arrangement of photovoltaic modules in arrays for mismatch loss mitigation
Published 2015“…The GA based arrangement is also validated with other data sets of modules that are collected from 3 practical arrays. …”
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13
A Hybrid ant colony optimization algorithm for solving a highly constrained nurse rostering problem
Published 2019“…Hence, this study focused on solving those issues arising in nurse rostering problems (NRPs) strategizing on a hybrid of Ant Colony Optimization (ACO) algorithm with a hill climbing technique. …”
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14
Traditional marble game using ant colony optimization / Muhammad Izzat Imran Che Isa
Published 2017“…The shortest distance is defined as best result. A set of data contains position of marbles is tested for ACO algorithm in the prototype. …”
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15
An efficient innovative method to decrease routing table size in packet switched networks
Published 2013“…Appropriate routing for supporting the requirements of various high quality applications emerged in current communication networks is a challenging problem that can lead to improved routing algorithms. Taking into consideration the highly distributed character of networks, numerous multi-agent based algorithms, and particularly ant colony based algorithms, have been proposed in recent years. …”
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16
Multi agent quality of service routing based on scheme ant colony optimization algorithm
Published 2014“…The proposed scheme has been simulated by OMNET++ and compared with standard AntNet and two well-known standard QoS routings; Widest Shortest Path (WSP) algorithm and Shortest Widest Path (SWP) algorithm. …”
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17
Application of Machine Learning Technique Using Support Vector Machine in Wind Turbine Fault Diagnosis
Published 2023Conference Paper -
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Optimising ventilation for thermal comfort and infection control in vehicles: A review on CFD applications and techniques
Published 2025“…The review highlights that RNG k-ε and SST k-ω are among the most commonly used turbulence models in vehicle cabin simulations, based on their suitability for modelling complex airflow patterns and their validation against measured data. …”
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Smart grid: Bio-inspired algorithms energy distributions for data centers
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Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing
Published 2013“…Researches on data Cloud Computing become the necessary trend in the distributed Cloud Computing system domain since the sources and application of the data are distributed and the scale of the applications enlarges quickly. …”
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