Search Results - (( dual solutions based algorithm ) OR ( whale optimization mead algorithm ))*

Enhanced Adaptive Confidence-Based Q Routing Algorithms For Network Traffic by Yap, Soon Teck

“…These two adaptive routing algorithms enhance the existing Confidence-based Q (CQ) and Confidence-based Dual Reinforcement Q (CDRQ) Routing Algorithms. …”
Get full text
Get full text

Using Electromagnetism-like algorithm and genetic algorithm to optimize time of task scheduling for dual manipulators by Abed I.A., Sahari K.S.M., Koh S.P., Tiong S.K., Jagadeesh P.

“…A method based on Electromagnetism-Like algorithm (EM) and Genetic Algorithm (GA) is proposed to determine the time-optimal task scheduling for dual robot manipulators. …”

Modeling Earthquake Bond Prices with Correlated Dual Trigger Indices and the Approximate Solution Using the Monte Carlo Algorithm by Riza Andrian Ibrahim, Sukono, Herlina Napitupulu, Rose Irnawaty Ibrahim

Energy-efficient data transmission with clustering and compressive sensing in wireless sensor networks / Mukil Alagirisamy by Mukil , Alagirisamy

“…Energy-Aware Unequal Clustering routing algorithm with Dual sink (EAUC-DUAL) and Energy based Cluster Head selection Unequal Clustering with Dual sink (ECH-DUAL) are proposed. …”
Get full text
Get full text
Get full text

A Dual Recurrent Neural Network-based Hybrid Approach for Solving Convex Quadratic Bi-Level Programming Problem by WATADA, J., ROY, A., LI, J., WANG, B., WANG, S.

“…The current paper presents a neural network-based hybrid strategy that combines a Genetic Algorithm (GA) and a Dual Recurrent Neural Network (DRNN) for efficiently and accurately solving the quadratic-Bi-level Programming Problem (BLPP). …”
Get full text
Get full text

Optimization of the Time of Task Scheduling for Dual Manipulators using a Modified Electromagnetism-Like Algorithm and Genetic Algorithm by Abed I.A., Koh S.P., Sahari K.S.M., Jagadeesh P., Tiong S.K.

“…A method based on a modified electromagnetism-like with two-direction local search algorithm (MEMTDLS) and genetic algorithm (GA) is proposed to determine the optimal time of task scheduling for dual-robot manipulators. …”

Application of a primal-dual interior point algorithm using exact second order information with a novel non-monotone line search method to generally constrained minimax optimizatio... by Ahamad, Intan Salwani, Vassiliadis, Vassilios S.

“…The algorithm differs significantly from previous approaches as it involves a novel non-monotone line search procedure, which is based on the use of standard penalty methods as the merit function used for line search. …”
Get full text
Get full text
Get full text

Dynamic Economic Dispatch For Large Scale Power Systems: A Lagrangian Relaxation Approach by Ab Ghani, Mohd Ruddin, Hindi, K. S.

“…The model considers loading and deloading rates, limits on generators outputs, spinning reserve requirements and group power import-export limits. The solution algorithm is based on Lagrangian relaxation and on exploiting the intimate relationship between optimizing the dual Lagrangian function and Dantzig-Wolfe decomposition. …”
Get full text
Get full text
Get full text
Get full text

A genetic algorithm for two-dimensional bin packing with due dates by Bennell, Julia A., Lee, Lai Soon, Potts, Chris N.

“…We propose a genetic algorithm for searching the solution space, which uses a new placement heuristic for decoding the gene based on the best fit heuristic designed for the strip packing problems. …”
Get full text
Get full text

Multi-objective optimization of friction stir welding process parameters of AA6061-T6 and AA7075-T6 using a biogeography based optimization algorithm by Tamjidy, Mehran, Baharudin, B. T. Hang Tuah, Paslar, Shahla, Matori, Khamirul Amin, Sulaiman, Shamsuddin, Fadaeifard, Firouz

“…The Pareto optimal frontiers for triple and dual objective functions are obtained and the best optimal solution is selected through using two different decision making techniques, technique for order of preference by similarity to ideal solution (TOPSIS) and Shannon’s entropy.…”
Get full text
Get full text
Get full text

Dual Image Watermarking Based On Human Visual Characteristics For Authentication And Copyright Protection by Wong, Shu Jie

“…In conclusion, the proposed Dual Image Watermarking scheme based on human visual characteristics provides an effective solution for authentication and copyright protection. …”
Get full text
Get full text

Development of an accurate AI-based dermatology assistant for skin disease recognition using YOLOv8 models by Huzaini, Muhammad Irfan Darwish, Mansor, Hasmah, Gunawan, Teddy Surya, Ahmad, Izanoordina

“…The research compares various algorithms, such as SVM, YOLOv3, YOLOv4, and Dual-Architecture CNN, through a comprehensive review of existing AI applications in dermatology. …”
Get full text
Get full text
Get full text
Get full text

Dual-head marking performance optimisation via evolutionary solutions by Koh J., Tiong S.K., Aris I.B., Mahmoud S.

Enhanced computational methods for detection and interpretation of heart disease based on ensemble learning and autoencoder framework / Abdallah Osama Hamdan Abdellatif by Abdalla Osama , Hamdan Abdellatif

“…This approach integrates a conditional variational autoencoder (CVAE) to effectively balance the dataset and a stack predictor (SPFHD) that utilizes tree-based ensemble learning algorithms. The base models' predictions are integrated using a support vector machine, significantly enhancing detection accuracy. …”
Get full text
Get full text
Get full text

Low-distortion MMSE speech enhancement estimator based on laplacian prior by Mahmmod, Basheera M., Ramli, Abd Rahman, Abdulhussain, Sadiq H., Syed Mohamed, Syed Abdul Rahman Al-Haddad, A. Jassim, Wissam

“…Thus, artifact noise is reduced without compromising the noise reduction process. The analytical solutions of the Laplacian distribution-based estimators, linear bilateral Laplacian gain estimator (LBLG), and nonlinear bilateral Laplacian gain estimator (NBLG), are presented. …”
Get full text
Get full text
Get full text

Empowering Energy-Sustainable IoT Devices With Harvest Energy-Optimized Deep Neural Networks by Alzahrani, Saeed, Salh, Adeb, Audah, Lukman, A. Alhartomi, Mohammed, Alotaibi, Abdulaziz, Alsulami, Ruwaybih

“…This paper applied the proposed Optimal Transmit Power and PS Ratio (OTPR) algorithm to maximize the EE for SWIPT based on the partial derivative of Lagrange dual decomposition methods. …”
Get full text
Get full text
Get full text

Intelligent cooperative web caching policies for media objects based on J48 decision tree and naïve Bayes supervised machine learning algorithms in structured peer-to-peer systems by Ibrahim, Hamidah, Mohammed, Waheed Yasin, Udzir, Nur Izura, Abdul Hamid, Nor Asilah Wati

“…In this work, intelligent cooperative web caching approaches based on J48 decision tree and Naïve Bayes (NB) supervised machine learning algorithms are presented. …”
Get full text
Get full text
Get full text

Optimization of chemotherapy using metaheuristic optimization algorithms / Prakas Gopal Samy by Prakas Gopal , Samy

“…The evaluation process employs the Hypervolume (HV) indicator and Inverted Generational Distance (IGD) to scrutinize solution efficacy and coverage. The HM emerges as a dominant strategy, driven by the Multi-Objective Differential Evolution (MODE) algorithm under literature-based control parameter settings for the mathematical model. …”
Get full text
Get full text
Get full text

A smart handover strategy for 5G mmWave dual connectivity networks by Abdullah, Nor Fadzilah, Gannapathy, Vigneswara Rao, Nordin, Rosdiadee, Abu-Samah, Asma

“…The primary goal of this mechanism is to facilitate seamless handovers as UE transitions from one Base Station (BS) to another in a dual connectivity multi-radio network. …”
Get full text
Get full text
Get full text

Development of capability-based virtual cellular manufacturing systems in dual-resource constrained settings over semi-distributed layouts by Hamedi, Maryam

“…Moreover, the formulated model is defined based on the design issues of Dual-Resource Constrained (DRC) settings, i.e., parts processing will be delayed if either workers, machines, or both are not available. …”
Get full text
Get full text