Search Results - re evaluation ((method algorithm) OR (search algorithm))

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

“…Moreover, the robustness of the proffered method is also evaluated under the random varying load, variation of HPS system parameter, and weather intermittency of RE resources in real-time conditions. …”
Get full text
Get full text

Optimizing decentralized exam timetabling with a discrete whale optimization algorithm by Emily Sing Kiang Siew, San nah sze, Say leng goh

“…Then, several search methods were employed for comparison during the improvement phase, including three Variable Neighborhood Descent (VND) variations and two modified WOA algorithms employing five distinct neighborhoods. …”
Get full text
Get full text
Get full text

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

“…Then, several search methods were employed for comparison during the improvement phase, including three Variable Neighborhood Descent (VND) variations and two modified WOA algorithms employing five distinct neighborhoods. …”
Get full text
Get full text
Get full text

Hybrid-discrete multi-objective particle swarm optimization for multi-objective job-shop scheduling by Anuar, Nurul Izah

“…In order to accomplish better performance by improving the search quality and efficiency of the discrete MOPSO, this research proposes a hybrid with the Diversification Generation Method in Scatter Search, the non-dominated sorting mechanism in non-dominated sorting Genetic Algorithm II (NSGA-II) and the local search mechanism in Tabu Search. …”
Get full text
Get full text
Get full text

Performance evaluation metrics for multi-objective evolutionary algorithms in search-based software engineering: systematic literature review by Nuh, Jamal Abdullahi, Koh, Tieng Wei, Baharom, Salmi, Osman, Mohd Hafeez, Kew, Si Na

“…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. …”
Get full text
Get full text

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. …”
Get full text
Get full text

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. …”
Get full text
Get full text

Vector Evaluated Gravitational Search Algorithm Assisted by Non-dominated Solutions in Solving Multiobjective Optimization Problems by Badaruddin, Muhammad, Khairul Hamimah, Abas, Mohd Riduwan, Ghazali

Get full text
Get full text
Get full text

Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures by Koohi, Sina Zangbari

“…Moreover, evolutionary algorithms are generally limited in their problemsolving abilities. …”
Get full text
Get full text

Segmentation of MRI brain images using statistical approaches by Balafar, Mohammad Ali

“…The non-Local means (NL-means) algorithm is a state-of-the art neighbourhood-based noisereduction method which is time-consuming and its accuracy can be improved. …”
Get full text
Get full text

Removal of heavy metals from water by functionalized carbon nanotubes with deep eutectic solvents: An artificial neural network approach / Seef Saadi Fiyadh by Seef Saadi , Fiyadh

“…The best result achieved for Pb2+ removal using ANFIS algorithm is with RE 7.078%. For As3+ removal using different adsorbents, two algorithms were applied for the modelling, the feed-forward back-propagation maximum RE achieved is 5.97% while, the NARX algorithm achieved better accuracy with maximum RE of 5.79%. …”
Get full text
Get full text
Get full text

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. …”
Get full text
Get full text
Get full text

Design of intelligent control system and its application on fabricated conveyor belt grain dryer by Lutfy, Omar F.

“…Moreover, three evolutionary algorithms (EAs), in particular a real-coded genetic algorithm (GA), a particle swarm optimization (PSO), and a global-best harmony search (GHS), were separately used to train the proposed controller and to determine its scaling factors. …”
Get full text
Get full text

Classification of Learner Retention using Machine Learning Approaches by Nur Amalina Diyana Suhaimi , Norshaliza Kamaruddin, Thirumeni T Subramaniam, Nilam Nur Amir Sjarif, Maslin Masrom, Nurazean Maarop

“…The performance of these algorithms was evaluated based on accuracy, precision, recall, and f-measure. …”
Get full text
Get full text

Malaysia solar energy experience: intelligent fault location algorithm for unbalanced radial distribution network including PV systems by Farzan, Payam, Izadi, Mahdi, Gomes, Chandima, Hesamian, Mohammad Hesam

“…The recorded values are evaluated by a designed and tuned multi-layer feed forward neural network and the fault distances from the source are estimated accordingly. …”
Get full text
Get full text
Get full text

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

Get full text
Get full text
Get full text

An eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in khyber-pakhtunkhwa, Pakistan by Ullah, S., Daud, H., Dass, S.C., Hadi, F.-T., Khalil, A.

“…We propose an extension of the EigenSpot algorithm, called Multi-EigenSpot that is able to handle multiple hotspots by iteratively removing previously detected hotspots and re-running the algorithm until no more hotspots are found. …”
Get full text
Get full text

An eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in khyber-pakhtunkhwa, Pakistan by Ullah, S., Daud, H., Dass, S.C., Hadi, F.-T., Khalil, A.

“…We propose an extension of the EigenSpot algorithm, called Multi-EigenSpot that is able to handle multiple hotspots by iteratively removing previously detected hotspots and re-running the algorithm until no more hotspots are found. …”
Get full text
Get full text

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.

Get full text
Get full text

Statistical analysis on enhanced 3D-AES block cipher cryptographic algorithm / Nor Azeala Mohd Yusof by Mohd Yusof, Nor Azeala

“…These two new functions are based on the confusion method proposed by Shannon’s theory since 1945. The randomness of Enhanced 3D-AES then is re-evaluated and it has passed all 15 statistical tests for all seven data categories. …”
Get full text
Get full text