Search Results - (( evolution optimisation based algorithm ) OR ( problem implementation drops algorithm ))

Optimal placement, sizing and power factor of distributed generation: A comprehensive study spanning from the planning stage to the operation stage by Huy P.D., Ramachandaramurthy V.K., Yong J.Y., Tan K.M., Ekanayake J.B.

Performance evaluation and benchmarking of an extended computational model of ant colony system for DNA sequence design by Zuwairie, Ibrahim, Mohd Falfazli, Mat Jusof, Mohd Zaidi, Mohd Tumari

“…Ant colony system (ACS) algorithm is one of the biologically inspired algorithms that have been introduced to effectively solve a variety of combinatorial optimisation problems. …”
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A competitive co-evolutionary approach for the nurse scheduling problem by Mohamad Nazri, Maizatul Farhana, Mohd Yusoh, Zeratul Izzah, Basiron, Halizah, Daud, Azlina

“…The competitive approach further exhibits smoother convergence behaviour across generations, indicating stronger optimisation dynamics and improved robustness. These findings demonstrate that competitive co-evolution provides an effective and practical alternative to static fitness-based evolutionary methods for nurse scheduling, with broader applicability to healthcare scheduling and constraint optimisation problems.…”
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Mathematical modelling of mass transfer in a multi-stage rotating disc contactor column by Maan, Normah

“…This eventually brought the study to the implementation of the Inverse Single Drop Multistage (ISDMS)-2D Fuzzy Algorithm on the Mass Transfer of Multiple Drops in Multistage System. …”
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A hyper-heuristic based strategy for image segmentation using multilevel thresholding by Luqman, Fakhrud Din, Shah Khalid, Kamal Zuhairi Zamli, Aftab Alam

“…EMCQ uses four low-level heuristic sets adopted from the teaching learning-based optimisation (TLBO) algorithm, flower pollination algorithm (FPA), genetic algorithm (GA), and Jaya algorithm. …”
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A hyper-heuristic based strategy for image segmentation using multilevel thresholding by Luqman, ., Fakhrud, Din, Shah, Khalid, Kamal Z., Zamli, Alam, Aftab

“…EMCQ uses four low-level heuristic sets adopted from the teaching learning-based optimisation (TLBO) algorithm, flower pollination algorithm (FPA), genetic algorithm (GA), and Jaya algorithm. …”
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Stock market turning points rule-based prediction / Lersak Photong … [et al.] by Photong, Lersak, Sukprasert, Anupong, Boonlua, Sutana, Ampant, Pravi

“…Finally, rule-based optimisation techniques such as Particle Swarm Optimization (PSO), Differential Evolution (DE) and Grey Wolf Optimizer (GWO) were used to minimise the amount of time employed in the stock market turning points prediction. …”
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Implementation of Biological Sprouting Algorithm for NoC Fault Tolerance by Sethi, Muhammad Athar Javed, Hussin, Fawnizu Azmadi, Hamid, Nor Hisham

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Performance Comparison of Packet Queuing Algorithm in Wireless Networks by Nor Aida, Mahiddin, Raja Hasyifah, Raja Bongsu, Wan Nor Shuhadah, Wan Nik

“…Therefore, a good strategy of packet queuing algorithm is very important to avoid packets drop. …”
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Performance Comparison of Packet Queuing Algorithm in Wireless Networks by Nor Aida, Mahiddin, Raja Hasyifah, Raja Bongsu, Wan Nor Shuhadah, Wan Nik

“…Therefore, a good strategy of packet queuing algorithm is very important to avoid packets drop. …”
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AntNet: a robust routing algorithm for data networks by Haseeb, Shariq, Sidek, Khairul Azami, Ismail, Ahmad Faris, Weng Kin, Lai, Yit Mei, Aw

“…Successful implementation and operation of a network largely depends on the routing algorithm in use. …”
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An enhanced congestion control algorithm for LEO satellite networks by Ayob, Fahrul Hakim, Subramaniam, Shamala, Othman, Mohamed, Zulkarnain, Zuriati

“…In this research, there is a potential for TCP WestwoodNew to be improved by increasing its throughput and implemented in satellite networks. In this research, we suggest that the congestion avoidance algorithm of TCP WestwoodNew to be modified. …”
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B-spline curve fitting with different parameterization methods by Kheng, Jia Shen

“…After generating control points, distance between the generated and original data points is used to identify the error of the algorithm. Later, genetic algorithm and differential evolution optimization are used to optimise the error of the curve. …”
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Reliability assessment of power system generation adequacy with wind power using population-based intelligent search methods by Kadhem, Athraa Ali

“…This study sought to examine the performance of three newly proposed techniques, for reliability assessment of the power systems, namely Disparity Evolution Genetic Algorithm (DEGA), Binary Particle Swarm Optimisation (BPSO), and Differential Evolution Optimization Algorithm (DEOA). …”
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Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level by Hasan Mahmoud Sha'ban Kanaker

Simulated Kalman Filter algorithms for solving optimization problems by Nor Hidayati, Abdul Aziz

“…In the benchmarking of the SKF and ssSKF algorithms’ performance in solving the 14-hole PCB drill path optimization case study with recent implementations, on average, both algorithms show the ability to converge to the optimal solution at a smaller number of function evaluations compared to the Gravitational Search Algorithm (GSA), Cuckoo Search (CS), and Intelligent Water Drop (IWD), although fall-short to the Taguchi- Genetic Algorithm optimization algorithm.…”
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Efficient radio resource management algorithms for downlink long term evolution networks by Mamman, Maharazu

“…As long as choosing an appropriate scheduling algorithm is not standardized by the 3GPP specification for LTE, vendors are free to adopt, configure and implement their own algorithms depending on the problems of the system. …”
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Automated traffic counting data collection and analysis by Low, Anand Hong Ren

“…The performance of the algorithm is determined by the counting, classification, and speed measuring accuracy. …”
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Efficient task scheduling strategies using symbiotic organisms search algorithm for cloud computing environment by Sa'ad, Suleiman

“…However, the efficiency of the clouds drops as the size of the search space gets larger, like in the case of most metaheuristic optimisation algorithms. …”
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Token based path allocation approach for mobile robots in sorting centre for achieving high throughput by Khoo, Zong Zheng

“…This project proposes an improved path-finding algorithm that implements token-based path finding while a robot wants to access a grid cell. …”
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