Search Results - (( continuous optimization path algorithm ) OR ( based optimization based algorithm ))
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An enhanced swap sequence-based particle swarm optimization algorithm to solve TSP
Published 2021“…The proposed algorithm is found to provide better solutions with shorter paths when applied to TSP as compared to swap sequence based PSO. …”
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Simulated kalman filter with modified measurement, substitution mutation and hamming distance calculation for solving traveling salesman problem
Published 2022“…Most metaheuristic algorithms are designed for continuous optimization problem. …”
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Continuous path planning of Kinematically redundant manipulator using Particle Swarm Optimization
Published 2018“…To choose a best solution among many possible solutions, meta-heuristic optimizations, namely, a Genetic Algorithm (GA), a Particle Swarm Optimization (PSO), and a Grey Wolf Optimizer (GWO) will be employed with an optimization objective to minimize a joint angle travelling distance. …”
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Continuous path planning of Kinematically redundant manipulator using Particle Swarm Optimization
Published 2018“…To choose a best solution among many possible solutions, meta-heuristic optimizations, namely, a Genetic Algorithm (GA), a Particle Swarm Optimization (PSO), and a Grey Wolf Optimizer (GWO) will be employed with an optimization objective to minimize a joint angle travelling distance. …”
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Performance analysis of ant colony's algorithm: load-balancing in QoS-based wireless mesh networks routing
Published 2008“…The design of the algorithm is based on: the specific self-organizing behavior of ant colonies, the shortest path discovery, and the related framework of ant colony optimization (ACO). …”
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Improvement and application of particle swarm optimization algorithm
Published 2025“…This method combines CPTD with the Genetic Algorithm and PSO (GAPSO), resulting in an effective strategy for dynamic formation reconfiguration and path optimization. …”
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Performance Analysis of Swarm Intelligence-Based Routing Protocol for Mobile Ad Hoc Network and Wireless Mesh Networks
Published 2009“…Among various works inspired by ant colonies, the Ant Colony Optimization (ACO) metaheuristic algorithms are the most successful and popular, e.g., AntNet, Multiple Ant Colony Optimization (MACO) and AntHocNet. …”
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Optimization of fast fourier transform based on twiddle factor using genetic algorithm on raspberry pi
Published 2019“…The research work revolves around the 16-point Radix-4 Single Path Delay Feedback (R4SDF) for optimizing the pipelined Fast Fourier Transform (FFT) processor, which can be done by using both Single Objective Genetic Algorithm and Multi-Objective Genetic Algorithm , Nowadays in many areas of engineering and science are widely using FFT processors in most of their applications, thus, the modern science requires continuously new optimizations which includes the FFT processor to have a lower power consumption and a smaller size. …”
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Hybrid multiobjective genetic algorithm for integrated dynamic scheduling and routing of jobs and automated guided vehicles in flexible manufacturing systems
Published 2014“…The algorithm generates an integrated scheduling and detail paths route while optimizing makespan, AGV travel time, mean flow time and penalty cost due to jobs tardiness and delay as a result of conflict avoidance. …”
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Hierarchical gaussian reinforcement learning for path planning in uncertain environments
Published 2015“…The simulation experimental results seem suggest the efficiency of the proposed algorithm in finding optimal paths of autonomous agents.…”
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Energy balancing mechanisms for decentralized routing protocols in wireless sensor networks
Published 2012“…It is based on Ant Colony Optimization (ACO) meta heuristic, which is adopted to enhance the paths with the best-quality function. …”
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Modeling and control of a Pico-satellite attitude using Fuzzy Logic Controller
Published 2010“…The contribution of this work is to optimize the base of Fuzzy membership function of the APFLC by using GA technique. …”
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Enhanced Mobility Solution In Mobile Ipv6 Network
Published 2008“…The interface selection algorithm was based on NEMO implementation structure using a technique of mutihoming which was extended to MIPv6 concepts The outcome of this research work are: a designed policy protocol for policy messages communication between the Mobile Router and the Home Agent, the framework is simulated using Network Simulator (NS2) with an extension of mobiwan, the result shows the end to end delay, average end to end delay, overhead, optimal routing path, average inter-packet latency and throughput of the developed system. …”
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Reliable Fault Tolerant-Based Multipath Routing Model for Industrial Wireless Control Systems
Published 2022“…The multipath routing model is developed based on optimal network planning and deployment algorithm. …”
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A Continuous Overlay Path Probing Algorithm For Overlay Networks
Published 2013“…Active measurement techniques performed by overlay nodes can provide bandwidth estimations of an end-to-end overlay path. This thesis describes a new algorithm called “COPPA,” which is an in-band path probing algorithm for measuring the end-to-end available bandwidth of an overlay path accurately and continuously. …”
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Model Predictive Controller (MPC) Design for an UAV Quadcopter in Windy Critical Environment
Published 2025“…This research enhances UAV navigation effectiveness and stability through the development of a robust controller—specifically, a cascade Model Predictive Control (MPC) algorithm, optimized for continuous gust conditions as modelled by the Dryden wind turbulence approach. …”
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Review of Nature Inspired Metaheuristic Algorithm Selection for Combinatorial t-way Testing
Published 2022“…Metaheuristic algorithm is a very important area of research that continuously improve in solving optimization problems. …”
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The Evolutionary Convergent Algorithm: A Guiding Path of Neural Network Advancement
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Intelligent motion planning of a mobile robot by using convolutional neural network / Siti Asmah Abdullah
Published 2019“…It trains by using labelled data which comes by eight different folders represent the eight different movements; up, up-right, right, right-down, down-left, left, and left-up. By the path reference created by A* algorithm the robot is capable in optimizing its path to reach the designated destination. …”
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