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Performance evaluation metrics for multi-objective evolutionary algorithms in search-based software engineering: systematic literature review
Published 2021“…To evaluate such performance, it is necessary to consider a number of performance metrics that play important roles during the evaluation and comparison of investigated algorithms based on their best-simulated results. …”
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Article -
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State-Aware re-configuration model for multi-radio wireless Mesh Networks
Published 2017“…The ns-2 simulator is used as simulation tool and various metrics are evaluated. …”
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TDMA scheduling analysis of energy consumption for iot wireless sensor network
Published 2019“…The base-work paper of the research presents an improvement of DRAND algorithm based on energy consumption in IoT WSN to enhance the node energy consumption and iv increase the network lifetime. …”
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Thesis -
5
AUTOMATED GUIDED ROBOT (AGR)
Published 2007“…Algorithm conversion to C code programming has been done throughout the project for the obstacle avoidance and path planning algorithms based upon the GA platform ofAI.…”
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Final Year Project -
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Vehicle pick-up and drop-off schedule optimization in a university setting
Published 2024“…Lateness will be removed using a lateness waiting time rollback mechanism. A simulated annealing-based multi-directional iterative local search algorithm is employed for solution optimization. …”
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Performance evaluation of m3 bottleneck based heuristic for M1M2M3 flow shop
Published 2012“…The main objective of this project is to evaluate the performance of M3 bottleneck-based heuristic for M1M2M3 flow shop problems. A total of 3000 simulations were conducted using randomly data in order to evaluate the accuracy of the heuristic. …”
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Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…To achieve an optimum waiting and response time this thesis has proposed a new approach utilizing the aforementioned modelling, optimizing and partitioning algorithms. This approach has simulated on Alea v.4, which is a dedicated simulator for simulating exascale parallel scheduling. …”
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Thesis -
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Performance evaluation of m3 bottleneck based heuristic for M1M2M3 flow shop
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An integrated reservoir modelling and evolutionary algorithm for optimizing field development in a mature fractured reservoir
Published 2016“…The proposed location of wells has improved Net Present Value (NPV) by + 10 higher than the base case without infill wells. Examining two different optimization approaches used in this work, the genetic algorithm program gave results similar to the results that were obtained by an exhaustive method with much less computation time which is a great issue mainly for large size fields or fields which possess condensate gas and require the use of compositional simulators. …”
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Conference or Workshop Item -
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Methane plume localization with enhanced self-best reduction and Gaussian improved particle swarm optimization (GiPSO)
Published 2024“…To investigate this, our research will investigate the adaptation of the Gaussian gas plume in the simulation. Adapting the Gaussian gas plume model in the simulation provides the experiment with a realistic optimization problem for GiPSO to optimize in the simulation, where we can test the engagement of dynamically challenging optimization problems such as gas plume dispersions. …”
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Thesis -
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Hardware-in-the-loop study of a hybrid active force control scheme of an upper-limb exoskeleton for passive stroke rehabilitation
Published 2018“…A data-driven model is developed based on the exoskeleton prototype built. A hardware-in-the-loop simulation is carried out to evaluate the appropriate gains of both the PD and the AFC inertial parameter gained that is tuned via the SKF algorithm. …”
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Thesis -
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Hardware-in-the-loop study of a hybrid active force control scheme of an upper-limb exoskeleton for passive stroke rehabilitation
Published 2018“…A data-driven model is developed based on the exoskeleton prototype built. A hardware-in-the-loop simulation is carried out to evaluate the appropriate gains of both the PD and the AFC inertial parameter gained that is tuned via the SKF algorithm. …”
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Thesis -
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Ant-based vehicle congestion avoidance framework using vehicular networks / Mohammad Reza Jabbarpour Sattari
Published 2015“…AVCAF collects real-time traffic data through vehicular networks to consider non-recurring congestion conditions in its routing mechanism via ant-based algorithm. The proposed framework is evaluated and validated through simulation environment. …”
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15
Profit Optimization of a Refrigerated Gas Plant
Published 2007“…This paper proposes means for optimizing a refrigerated gas plant (RGP) based on a steady-state simulation model. The RGP is simulated using AspenTech HYSYS and calibrated with the actual plant data. …”
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Conference or Workshop Item -
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Profit Optimization of a Refrigerated Gas Plant
Published 2007“…This paper proposes means for optimizing a refrigerated gas plant (RGP) based on a steady-state simulation model. The RGP is simulated using AspenTech HYSYS and calibrated with the actual plant data. …”
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Profit Optimization of a Refrigerated Gas Plant
Published 2007“…This paper proposes means for optimizing a refrigerated gas plant (RGP) based on a steady-state simulation model. The RGP is simulated using AspenTech HYSYS and calibrated with the actual plant data. …”
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End-to-end DVB-S2X system design with deep learning-based channel estimation over satellite fading channels
Published 2021“…Although the conventional algorithm, MMSE, outperforms the pro�posed algorithms when the number of pilots increased but it is not applicable in real transmission as it is required prior knowledge about the channel statistic which is not the case with DL-based estimators which rely only on the pilots. …”
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Thesis -
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Robust Kernel Density Function Estimation
Published 2010“…Subsequently, the robust weights are incorporated in the kernel function to formulate the robust density function estimation. An extensive simulation study has been carried out to assess the performance of the RKWF-based estimator and RDWF-based estimator. …”
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Thesis -
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Data-driven neuroendocrine-pid tuning based on safe experimentation dynamics for control of TITO coupled tank system with stochastic input delay
Published 2019“…The simulation results show that the SED based method capable to track the desired value of liquid level tanks although the stochastics input delay occurred in the system. …”
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