Search Results - (( _ normalization path algorithm ) OR ( variable training based algorithm ))

Modelling of multi-robot system for search and rescue by Poy, Yi Ler

“…It was found that the number of populations set to 75 and dynamically adjusts the value of inertial weight, the cognitive and social parameter provides the best performance in terms of shortest path length and execution time. In conclusion, this project shows that the MPSO algorithm is capable of generating a better path compared to the normal PSO algorithm in terms of average path length and execution time, making it a promising algorithm for multi-robot path planning in dynamic environments.…”
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Optimal path planning algorithms in virtual environments by Hassan, Rohayanti

“…The main aim of the research was to find an efficient route tour approach that combines path finding, path planning and path optimization algorithm. …”
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Design and analysis of sequence generator module using eulerian path algorithm for DNA fragment assembly / Mustaqim Mohd Subri by Mohd Subri, Mustaqim

“…The main objectives of this project is to design the DNA sequence generator module using the Eulerian Path algorithm. This project is designed based on speed optimization. …”
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A meta-heuristics based input variable selection technique for hybrid electrical energy demand prediction models by ul Islam, B., Baharudin, Z.

“…The focus of the paper is to propose a hybrid approach for the selection of the most influential input variables for the training and testing of neural network based hybrid models. …”
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Design and analysis of sequence generator module using eulerian path algorithm for DNA fragment assembly: article / Mustaqim Mohd Subri by Mohd Subri, Mustaqim

“…Euler Path Algorithm is used since it has better assembling ability especially in assembling long sequence. …”
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A modified Q-learning path planning approach using distortion concept and optimization in dynamic environment for autonomous mobile robot by Low, Ee Soong, Ong, Pauline, Low, Cheng Yee

“…This study proposes an improved Q-learning (IQL) algorithm to address the challenges of path planning in such environments. …”
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A modified Q-learning path planning approach using distortion concept and optimization in dynamic environment for autonomous mobile robot by Ee Soong Low, Ee Soong Low, Pauline Ong, Pauline Ong, Cheng Yee Low, Cheng Yee Low

“…This study proposes an improved Q-learning (IQL) algorithm to address the challenges of path planning in such environments. …”
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Wide area measurement system in the IEEE-14 bus system using multiobjective shortest path algorithm for fault analysis by Awalin, Lilik J., Syahirah, Abd Halim, Jafferi, Jamaludin, Nor Azuana, Ramli

“…The distances of the normal path (without simulated fault) and the new path (with simulated fault) were recorded. …”
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A modified Q-learning path planning approach using distortion concept and optimization in dynamic environment for autonomous mobile robot by Ee Soong Low, Ee Soong Low, Pauline Ong, Pauline Ong, Cheng Yee Low, Cheng Yee Low

“…This study proposes an improved Q-learning (IQL) algorithm to address the challenges of path planning in such environments. …”
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GPS boundary navigation of DrosoBots using MATLAB simulation by Zainal Abidin, Zulkifli, Ngah , Vmi Kalthum, Arshad, Mohd Rizal, Kok , Chee Hou

“…To implement this, region recognition and several path planning algorithms have been utilized. Besides that, pixilation of path is also used to estimate the coverage of the path planning. …”
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Restaurant locator using Djikstra Algorithm / Mohamad Aliff Hakimi Lukman Hakim by Lukman Hakim, Mohamad Aliff Hakimi

“…Dijkstra’s algorithm is one of the classic shortest path search algorithms. …”
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Effect of input variables selection on energy demand prediction based on intelligent hybrid neural networks by Islam, B., Baharudin, Z., Nallagownden, P.

“…The efficacy of these models depends upon many factors such as, neural network architecture, type of training algorithm, input training and testing data set and initial values of synaptic weights. …”
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Adaptive route optimization for mobile robot navigation using evolutionary algorithm by Kit Guan Lim, Guan Lim, Yoong Hean Lee, Hean Lee, Min Keng Tan, Keng Tan, Hou, Pin Yoong, Tienlei, Wang, Tze, Kenneth Kin Teo

“…In autonomous robot design, the main problem faced by researchers is the path planning of mobile robot. Various kind of path planning algorithm was introduced in the past, but no algorithm has absolute superior towards the others algorithm. …”
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Energy efficient path-planning for unmanned aerial vehicle by Debnath, Sanjoy Kumar

“…The proposed path planning algorithm is called Iterative Elliptical- Convex Visibility Graph (IECoVG) which is based on visibility graph (VG) and Dijkstra’s algorithm. …”
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Power plant energy predictions based on thermal factors using ridge and support vector regressor algorithms by Afzal, Asif, Alshahrani, Saad, Alrobaian, Abdulrahman, Buradi, Abdulrajak, Khan, Sher Afghan

“…Initially, the Ridge algorithm-based modeling is performed in detail, and then SVR-based LR, named as SVR (LR), SVR-based radial basis function—SVR (RBF), and SVR-based polynomial regression—SVR (Poly.) algorithms, are applied. …”
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Improved Dynamic Ant Colony System (DACS) on Symmetric Traveling Salesman Problem (TSP). by Md Rais, Helmi, Ali Othman, Zulaiha, Hamdan, Abdul Razak

“…Their ability as a colony to find paths or routes to the food sources has inspired the development of an algorithm namely Ant Colony System (ACS). …”
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Scheduling tight deadlines for scientific workflows in the cloud by Bajaher, Awadh Salem Saleh

“…This article will evaluate the performance of the Proportional Deadline Constrained (PDC) algorithm using Cloudsim and compare it with the Deadline Constrained Critical Path (DCCP) scheduling algorithm. …”
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Multidimensional Minimization Training Algorithms for Steam Boiler Drum Level Trip Using Artificial Intelligence Monitoring System by Ismail, F. B., Al-Kayiem, Hussain H.

“…The selection of the relevant variables for the neural networks is based on merging between theoretical analysis base and the plant operator experience. …”
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An efficient virtual tour : a merging of path planning and optimization by Abd Latiff, Muhammad Shafie, Hassan, Rohayanti

“…Furthermore in a large and complicated virtual environment, users are tending to plan their path and navigate in an automatic manner. This paper describes the result of a research project aimed to integrate a path-planning optimization-algorithm and produce an efficient tour in a virtual environment. …”
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Design optimization of valve timing at various engine speeds using Multi-Objective Genetic Algorithm (MOGA) by Mohiuddin, A. K. M., Ashour, Ahmed Aly Ibrahim Shaaban, Yap, Haw Shin

“…The primary concern is to acquire the clear picture of the implementation of Multi-Objective Genetic Algorithm and the essential of variable valve timing effects on the engine performances in various engine speeds. …”
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