Search Results - (( re evaluation a algorithm ) OR ( using optimization method algorithm ))

Optimizing Decentralized Exam Timetabling with a Discrete Whale Optimization Algorithm by Emily Siew, Sing Kiang, Sze, San Nah, Goh, Say Leng

“…In recent years, there has been increasing interest in intelligent optimization algorithms, such as the Whale Optimization Algorithm (WOA). …”
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Optimizing decentralized exam timetabling with a discrete whale optimization algorithm by Emily Sing Kiang Siew, San nah sze, Say leng goh

“…—In recent years, there has been increasing interest in intelligent optimization algorithms, such as the Whale Optimization Algorithm (WOA). …”
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A hybrid grey wolf assisted-sparrow search algorithm for frequency control of RE integrated system by Fadheel, Bashar Abbas, Wahab, Noor Izzri Abdul, Mahdi, Ali Jafer, Premkumar, Manoharan, Radzi, Mohd Amran Bin Mohd, Soh, Azura Binti Che, Veerasamy, Veerapandiyan, Irudayaraj, Andrew Xavier Raj

“…A hybrid Sparrow Search Algorithm-Grey Wolf Optimizer (SSAGWO) is proposed to optimize the gain values of the proportional integral deriva-tive controller. …”
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An integrated reservoir modelling and evolutionary algorithm for optimizing field development in a mature fractured reservoir by Sambo, C.H., Hematpour, H., Danaei, S., Herman, M., Ghosh, D.P., Abass, A., Elraies, K.A.

“…The second method is automatic optimization using Genetic Algorithm. …”
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Hybrid metaheuristic method for clustering in wireless sensor networks / Bryan Raj Peter Jabaraj by Bryan Raj , Peter Jabaraj

“…As such, this thesis proposes a hybrid metaheuristic method that consists of Sperm Swarm Optimization (SSO) algorithm and Genetic Algorithm (GA), which is termed HSSOGA. …”
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Hybrid-discrete multi-objective particle swarm optimization for multi-objective job-shop scheduling by Anuar, Nurul Izah

“…The experimentations of the proposed algorithm are conducted using existing benchmark instances and a published case study on an energy-efficient job-shop model. …”
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Vehicle pick-up and drop-off schedule optimization in a university setting by Teo, Chun Kit

“…A simulated annealing-based multi-directional iterative local search algorithm is employed for solution optimization. …”
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Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures by Koohi, Sina Zangbari

“…Any optimization algorithm is suitable for only a specific domain of optimization problems. …”
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Leachate generation rate modeling using artificial intelligence algorithms aided by input optimization method for an MSW landfill by Abunama, Taher, Othman, Faridah, Ansari, Mozafar, El-Shafie, Ahmed

“…In developing countries, the accurate evaluation of leachate generation rates has often considered a challenge due to the lack of reliable data and high measurement costs. …”
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Intelligent algorithm based modeling of renewable and green energy resources for microgrid optimization by Khamis, Alias

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A regression test case selection and prioritization for object-oriented programs using dependency graph and genetic algorithm by Musa, Samaila, Md Sultan, Abu Bakar, Abd Ghani, Abdul Azim, Baharom, Salmi

“…This paper presents an evolutionary regression test case prioritization for object-oriented software based on dependence graph model analysis of the affected program using Genetic Algorithm. The approach is based on optimization of selected test case from test suite T. …”
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Linear and stratified sampling-based deep learning models for improving the river streamflow forecasting to mitigate flooding disaster by Afan H.A., Yafouz A., Birima A.H., Ahmed A.N., Kisi O., Chaplot B., El-Shafie A.

ReSTiNet: An Efficient Deep Learning Approach to Improve Human Detection Accuracy by Sumit, S.S., Rambli, D.R.A., Mirjalili, S., Miah, M.S.U., Ejaz, M.M.

“…The validation of the proposed ReSTiNet model has been done on INRIA person dataset using the Tesla K80. â�¢ All the necessary steps, algorithms, and mathematical formulas for building the net- work are provided. â�¢ The network is small in size but has a faster detection speed with high accuracy. …”
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ReSTiNet: An efficient deep learning approach to improve human detection accuracy by Shahriar Shakir, Sumi, Dayang Rohaya, Awang Rambli, Mirjalili, Seyedali, Miah, M. Saef Ullah, Muhammad Mudassir, Ejaz

“…ReSTiNet is a novel small convolutional neural network that overcomes the problems of network size, detection speed, and accuracy. …”
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Enhancing Autonomous Guided Vehicles with Red-Black TOR Iterative Method by A’Qilah Ahmad Dahalan, Azali Saudi, Jumat Sulaiman

“…By carefully choosing the optimal parameter values, the suggested B-MTOR improved the computational execution of the algorithm. …”
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ReSTiNet : An efficient deep learning approach to improve human detection accuracy by Sumit, Shahriar Shakir, Dayang Rohaya, Awang Rambli, Seyedali, Mirjalili, Miah, Md Saef Ullah, Muhammad Mudassir, Ejaz

“…ReSTiNet is a novel small convolutional neural network that overcomes the problems of network size, detection speed, and accuracy. …”
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Comparative Analysis of Pneumonia Detection from Chest X-Ray Images Using CNN And Transfer Learning by Naveen Kumar, M., Ushasree, ., Che Fuzlina, Fuad

“…This research shows which neural network algorithm is optimal for detecting pneumonia, and how medical practitioners might use it in the actual world. …”
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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 by Mohd Riduwan, Ghazali, Mohd Ashraf, Ahmad, Raja Mohd Taufika, Raja Ismail

“…The SED algorithm is an optimization method used as data-driven tools to find the optimal control parameters by using the input-output (I/O) data measurement in an actual system. …”
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State-of-charge estimation for lithium-ion batteries with optimized self-supervised transformer deep learning model by Dickson Neoh Tze How, Dr.

“…In the second stage, the model is fine-tuned or re-trained using labeled data with supervised learning. …”

Online auto-tuned proportional-integral controller using particle swarm optimization for dual active bridge DC-DC converter by Suliana, Ab Ghani

“…APSO-PI is an auto-tuned PI using the PSO algorithm where the optimal values of Kp and Kiwere tuned at the initial control process only. …”
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