Search Results - (( exploring service optimization algorithm ) OR ( java implication based algorithm ))
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Hybrid firefly and particle swarm optimization algorithm for multi-objective optimal power flow with distributed generation
Published 2022“…The HFPSO technique hybridizes the Firefly Optimization (FFO) algorithm and the Particle Swarm Optimization (PSO) method to improve the exploitation and exploration strategies and enhance the convergence rate. …”
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Exploring optimal resource allocation methods for improved efficiency in flying ad-hoc network environments: a survey
Published 2024“…The paper also discusses the critical role of intelligent algorithms in enhancing network energy management, quality of service (QoS), maximizing resource allocation, and optimizing overall performance. …”
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Hybridization of enhanced ant colony system and Tabu search algorithm for packet routing in wireless sensor network
Published 2020“…The outcome of this research contributes an optimized routing algorithm for WSN. This will lead to a better quality of service and minimum energy utilization.…”
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Solving multi-objective dynamic vehicle routing problem with time windows using multi-objective algorithm
Published 2022“…It is difficult and challenging to develop an algorithm that can produce consistent near-optimal solutions even after many runs, average near-optimal solutions that have the least difference in magnitude, broader Pareto set, and iii achieve near-optimal solutions but highly sought after if it is commercially viable. …”
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Maximal service area problem for optimal siting of emergency facilities
Published 2010“…Three heuristics, genetic algorithm (GA), tabu search (TS) and simulated annealing (SA), were applied to solve the optimization problem of the MSAP. …”
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Hybrid Henry Gas-Harris Hawks comprehensive-opposition algorithm for task scheduling in cloud computing
Published 2025“…This method is based on two elements: comprehensive opposition-based learning (COBL) and Harris Hawks Optimization (HHO). The HHO algorithm was employed as a local search strategy in this suggested algorithm to improve the quality of authorized solutions. …”
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Data dissemination in VANETs using clustering and probabilistic forwarding based on adaptive jumping multi-objective firefly optimization
Published 2022“…This developed multi-objective optimization was designated as adaptive jumping multi-objective firefly algorithm (AJ-MOFA). …”
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Optimisation model for scheduling MapReduce jobs in big data processing / Ibrahim Abaker Targio Hashem
Published 2017“…In this study, we aim to optimize task scheduling and resource utilization using an evolutionary algorithm based on the proposed completion time and monetary cost of cloud service models. …”
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Optimization of signalized traffic network using swarm intelligence
Published 2021“…Thus, this work aims to explore the potential of using Particle Swarm Optimization (PSO) to optimize the traffic signal timing for the traffic network. …”
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Proceedings -
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Understanding the sentiment on gig economy: good or bad?
Published 2022“…Additionally, it aids gig managers and service providers in understanding clients' sentiments about their goods and services and making necessary adjustments to optimize satisfaction.…”
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Adaptive resource allocation algorithms with QoS support in OFDMA-based WiMAX networks
Published 2014“…Two-Tier EDRR provides better performance than the conventional algorithms in terms of end-to-end delay, throughput, and delay jitter for Unsolicited Grant Service (UGS), enhanced real time Polling Service (ertPS), rtPS, non-real time Polling Service (nrtPS) and BE services. …”
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A Data Mining Approach to Enhancing Birth and Death Registration Processes
Published 2025“…This study contributes to ICT governance and public administration by demonstrating how data-driven approaches can optimize civil registration service. The findings offer actionable insights for policymakers to enhance registration models, reduce delays, and improve public accessibility. …”
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Enhancing teaching and learning through data-driven optimization of servicing code demand and lecturer allocation using WEKA analysis
Published 2025“…The increasing demand for servicing codes across faculties has created a growing need for data-driven decision supports in optimizing lecturer allocation and cost efficiency. …”
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Acquisition of new subscribers using analytical models in the telecommunication industry / Nik Muhammad Naim Nik Ghazali
Published 2020“…The proposed algorithm for building the analytical acquisition model benefits the Data Science community to explore the use of optimization model in their work domain. …”
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SDN-based VANET routing: A comprehensive survey on architectures, protocols, analysis, and future challenges
Published 2024“…Vehicular ad-hoc network (VANET) supports various ITS services, including safety, convenience, and infotainment services for drivers and passengers. …”
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Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems
Published 2018“…The implementation of MTS begins with the frequency optimization procedure which determines the service frequencies and fleet sizes with the objectives of minimizing the operational cost, passengers’ waiting times at nodes and the overcrowding in the buses. …”
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SDN-Based VANET Routing: A Comprehensive Survey on Architectures, Protocols, Analysis, and Future Challenges
Published 2025“…Vehicular ad-hoc network (VANET) supports various ITS services, including safety, convenience, and infotainment services for drivers and passengers. …”
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