Search Results - (( based application cloud algorithm ) OR ( _ application ((out algorithm) OR (ant algorithm)) ))*
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Autonomous mobile robots path planning with integrative edge cloud-based ant colony optimization
Published 2025“…To address these challenges, this study proposes an Integrative Edge Cloud-Based Ant Colony Optimization (IECACO) algorithm. …”
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Feature extraction and selection algorithm based on self adaptive ant colony system for sky image classification
Published 2023“…The performance of FESSIC was evaluated against ten benchmark image classification algorithms and six classifiers on four ground-based sky image datasets. …”
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Task scheduling in cloud computing using hybrid genetic algorithm and bald eagle search (GA-BES)
Published 2022“…As for the running method the compilation of the code will be run by using cmd and Ant Apache and the total average result of 30 simulation will be view on the web base application will be run using xampp.…”
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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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Dynamic load balancing algorithm based on deadline constrained in cloud environment
Published 2019“…An experiment was carried out using Cloudsim Simulator. The results show that makespan time was reduce and improves the ratio of task that will meeting to their respective deadline when compared with the First Come First Serve (FCFS), Dynamic Min-Min, and Shortest Job First (SJF) algorithm.…”
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Multi-objective scientific workflow scheduling algorithm in multi-cloud environment for satisfying QoS requirements
Published 2022“…MOS-MWO can thus be applied in cloud-based applications to effectively schedule workflow while achieving significant improvement in the QoS satisfaction rate (QSR) to 4.8% compared with the multi-objective scheduling algorithm (MOS). …”
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Modification of the ant colony optimization algorithm for solving multi-agent task allocation problem in agricultural application
Published 2024“…The optimum number of ants and agents in the proposed algorithm was also analysed for robust performance. …”
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A comparative performance analysis of computational intelligence techniques to solve the asymmetric travelling salesman problem
Published 2021“…This paper presents a comparative performance analysis of some metaheuristics such as the African Buffalo Optimization algorithm (ABO), Improved Extremal Optimization (IEO), Model-Induced Max-Min Ant Colony Optimization (MIMM-ACO), Max-Min Ant System (MMAS), Cooperative Genetic Ant System (CGAS), and the heuristic, Randomized Insertion Algorithm (RAI) to solve the asymmetric Travelling Salesman Problem (ATSP). …”
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Improvement DACS3 Searching Performance using Local Search
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An augmented reality real-time cloud-based remote monitoring algorithm for a manufacturing system / Siti Aisyah Jaafar
Published 2021“…Conventional AR-IoT applications only specialize in the localized area for the on-site application and not applicable for a remote monitoring system. …”
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Object Localization In 3D Point Cloud
Published 2020“…The results of object localization are often affected by many factors such as the quality of the point clouds and the sensitivity of the algorithms to the occlusion in the point clouds. …”
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Final Year Project / Dissertation / Thesis -
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Aco-based feature selection algorithm for classification
Published 2022“…An enhanced graph clustering ant colony optimisation (EGCACO) algorithm is proposed to solve the three (3) MGCACO algorithm problems. …”
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Development of deep reinforcement learning based resource allocation techniques in cloud radio access network
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Final Year Project / Dissertation / Thesis -
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Railway shortest path planner application using ant colony optimization algorithm / Muhammad Hassan Firdaus Ruslan
Published 2017“…For the process module, Ant Colony Optimization (ACO) algorithm was used to find the shortest path. …”
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