Search Results - (( normal optimization path algorithm ) OR ( probable optimization based algorithm ))
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Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms
Published 2020“…The IEM algorithm uses the attraction-repulsion mechanism to change the positions of solutions towards the optimality. …”
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Thesis -
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Modelling of multi-robot system for search and rescue
Published 2023“…This report focusses on developing a novel multi-robot path planning algorithm based on the Modified Particles Swarm Optimization (MPSO) algorithm for dynamic environments. …”
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Optimal path planning algorithms in virtual environments
Published 2006“…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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A modified Q-learning path planning approach using distortion concept and optimization in dynamic environment for autonomous mobile robot
Published 2023“…To this end, three different modes are introduced into the IQL algorithm, namely the normal mode, the distortion mode, and the optimization mode. …”
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Article -
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A modified Q-learning path planning approach using distortion concept and optimization in dynamic environment for autonomous mobile robot
Published 2023“…To this end, three different modes are introduced into the IQL algorithm, namely the normal mode, the distortion mode, and the optimization mode. …”
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A modified Q-learning path planning approach using distortion concept and optimization in dynamic environment for autonomous mobile robot
Published 2023“…To this end, three different modes are introduced into the IQL algorithm, namely the normal mode, the distortion mode, and the optimization mode. …”
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Adaptive route optimization for mobile robot navigation using evolutionary algorithm
Published 2021“…For example, Ant Colony Optimization (ACO) is an optimization algorithm based on swarm intelligence which is widely used to solve path planning problem. …”
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Proceedings -
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An efficient virtual tour : a merging of path planning and optimization
Published 2004“…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 and analysis of sequence generator module using eulerian path algorithm for DNA fragment assembly / Mustaqim Mohd Subri
Published 2013“…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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Student Project -
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Design and analysis of sequence generator module using eulerian path algorithm for DNA fragment assembly: article / Mustaqim Mohd Subri
Published 2013“…The objective of this project is to design the DNA sequence generator modules using the Eulerian Path Algorithm. This project is designed based on speed optimization. …”
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Improved flower pollination optimization algorithm based on swap operator and dynamic switch probability selection
Published 2023“…This research proposed an algorithm which is based on dynamic switch probability to control the balance between exploration and exploitation which increases its searchability. …”
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Thesis -
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VLSI floor planning optimization using genetic algorithm and cross entropy method / Angeline Teoh Szu Fern
Published 2012“…GA is a widely used optimization algorithm based on the concept of survival of the fittest. …”
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Particle swarm optimization approach in route navigation for PoSVI-Cane
Published 2023“…Here, Particle Swarm Optimization (PSO) path planning algorithm computes the shortest possible path based on the collection of coordinates along the pedestrian walkway. …”
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Article -
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Q-learning whale optimization algorithm for test suite generation with constraints support
Published 2023“…This paper introduces a new variant of a metaheuristic algorithm based on the whale optimization algorithm (WOA), the Q-learning algorithm and the Exponential Monte Carlo Acceptance Probability called (QWOA-EMC). …”
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Tree-based contrast subspace mining method
Published 2020“…Hence, this thesis presents the optimization of parameters values for the tree-based method by genetic algorithm. …”
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Power allocation optimization for oam-mimo systems with unaligned antennas
Published 2022“…Numerical results show that the error probability reduction of the OAM-MIMO transmission system by using the proposed optimization algorithm is up to 26.1 dB.…”
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Estimation of Transformers Health Index Based on Condition Parameter Factor and Hidden Markov Model
Published 2023Conference Paper
