Search Results - (( solution estimation techniques ) OR ( solution optimization techniques ))*

A hybrid genetic algorithm and linear regression for prediction of NOx emission in power generation plant by Bunyamin M.A., Yap K.S., Aziz N.L.A.A., Tiong S.K., Wong S.Y., Kamal M.F.

“…These results include providing good solutions as compared to one optimal solution for complex problems. …”

Neural Network Preference Learning Approaches For Improving Agent-Based Meeting Scheduling Problems by Tang, En Lai

“…This strategy was extended with “preference estimation” technique to optimize the user preference level of negotiation outcome. …”
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Automated density and growth estimation in precision aquaculture systems for prawn cultivation using computer vision techniques by Chong, Xiao Wei

“…To address these challenges, this project proposes an innovative solution that leverages computer vision and machine learning techniques. …”
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Pendulum-like algorithm as a local search technique by Abed I.A., Koh S.P., Sahari K.S.M., Tiong S.K., Younis H.A.-K., Abed A.A.

“…Aluminum; Approximation algorithms; Local search (optimization); Optimization; Pendulums; Problem solving; attraction; Global solutions; Local search; Local search techniques; Optimization problems; repulsion; Repulsion mechanisms; simple harmonic; Parameter estimation…”

Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman by Che Osman, Siti Eshah

“…Recently, intelligent searching methods were proposed to enhance the computational optimization issues in motion estimation but still lack in obtaining the best solution of block matching. …”
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Performance evaluation of multi-user detection in Cdma using micro-genetic algorithm by Ahmad, Azmi, Ali, Borhanuddin M., Khatun, Sabira, Hassan, Azmi

“…Genetic Algorithms (GA) is a search and optimizes technique that works by estimating multiple solutions in order to come with the best estimated solution. …”
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An improvement of stochastic gradient descent approach for mean-variance portfolio optimization problem by S. W. Su, Stephanie, Kek, Sie Long

“…During the calculation procedure, the iterative solution converges to the optimal portfolio solution. …”
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Ant colony optimization (ACO) technique for reactive power planning in power system stability assessment / Mohd Rozely Kalil by Kalil, Mohd Rozely

“…This study involved the development of ACO technique for estimating optimal maximum loadability (OML), optimal reactive power dispatch (ORPD), optimal transformer tap changer setting (OTTCS) and optimal reactive power planning (ORPP) in power system. …”
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A hybrid technique of deep learning neural networks with finite difference method for higher order fractional Volterra-Fredholm integro-differential equations with φ-Caputo operato... by Alsa’Di, Kawthar, Nik Long, Nik Mohd Asri

“…This technique uses the Adaptive Moment Estimation Method (Adam) as an optimization algorithm with feed-forward deep learning to minimize the error function and training the model using five layers with different activation functions. …”
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Left-handed metamaterial-inspired unit cell for S-Band glucose sensing application by Islam M.T., Hoque A., Almutairi A.F., Amin N.

Multiple sparse priors technique with optimized patches for brain source localization by Jatoi, M.A., Kamel, N., López, J.D.

“…This problem is ill-posed in nature because an infinite number of source configurations can produce the same potential at the head surface. Recently, a new technique that is based on Bayesian framework, called the multiple sparse priors (MSP), was proposed as a solution to this problem. …”
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Estimation of photovoltaic models using an enhanced Henry gas solubility optimization algorithm with first-order adaptive damping Berndt-Hall-Hall-Hausman method by Ramachandran, Murugan, Sundaram, Arunachalam, Ridha, Hussein Mohammed, Mirjalili, Seyedali

“…The existing literature extensively explores the utilization of powerful Metaheuristic Algorithms (MAs) to address the complex constrained optimization problem in PV systems and achieve optimal solutions. …”
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Evolutionary Programming (EP) based technique for secure point identification with load shedding technique in power transmission / Abdul Rahman Minhat by Minhat, Abdul Rahman

“…In highlighting the merit of the proposed EP based technique for maximum loadability identification, established artificial immune system (AIS) optimization technique and AVSA were utilized for comparative studies purposes. …”
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Optimal distributed generation and load shedding scheme using artificial bee colony- hill climbing algorithm considering voltage stability and losses indices by Ali Abdallah, Ali Emhemed

“…Meanwhile, the proposed ABC-HC optimization technique shows its ability to identify the bus location and the optimal active energy injection from the DG with a substantial power loss reduction. …”
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Balancing Exploitation And Exploration Search Behavior On Nature-Inspired Clustering Algorithms by Alswaitti, Mohammed Y. T.

“…Moreover, the balance between the exploration and exploitation processes in the DPSO framework is considered using a combination of (i) a kernel density estimation technique associated with new bandwidth estimation method and (ii) estimated multi-dimensional gravitational learning coefficients. …”
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Opposition- based simulated kalman filters and their application in system identification by Kamil Zakwan, Mohd Azmi

“…Metaheuristic optimization algorithms are well-established techniques to address those problems which are difficult to solve through traditional optimization methods. …”
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Efficient solutions to time-fractional telegraph equations with Chebyshev neural networks by Ali, Amina Hassan, Senu, Norazak, Ahmadian, Ali

“…A feed-forward neural network (NN) model, optimized using the adaptive moment estimation (Adam) technique, is utilized to refine network parameters and minimize errors. …”
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REAL-TIME HORN-SCHUNCK OPTICAL FLOW HARDWARE ARCHITECTURE FOR HIGH ACCURACY MOTION ESTIMATION by RUZALI, RUZALI

“…However, so far there has not been a single solution reported to have achieved both real-time performance and high estimation accuracy. …”
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Current issues in ensemble methods and its applications by Engku Fadzli Hasan, Syed Abdullah, Mohd Khalid, Awang, Mokhairi, Makhtar

“…When the numbers of base classifiers become huge, ensemble methods incurred high storage space and computational time, selective ensemble is proposed by most literatures to solve these problems. In terms of optimization techniques, multi-objectives techniques have become the better ones to use due to their efficiency in terms of optimization process and they provide a set of near optimal solution instead of just a single solution. …”
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Single-solution simulated Kalman Filter algorithm for routing in printed circuit board drilling process by Nor Hidayati, Abdul Aziz, Zuwairie, Ibrahim, Nor Azlina, Ab. Aziz, Zulkifli, Md. Yusof, Mohd Saberi, Mohamad

“…It uses only a single agent to solve optimization process by finding the estimate of the optimal solution. …”
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