Search Results - (( using function ((method algorithm) OR (path algorithm)) ) OR ( _ simulation based algorithm ))
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1
A generalized laser simulator algorithm for optimal path planning in constraints environment
Published 2022“…A statistical test was used to demonstrate the efficiency of the proposed algorithm over the compared methods. …”
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2
Nlfxlms and thf-nlfxlms algorithms for wiener-hammerstein nonlinear active noise control
Published 2016“…However, this assumption may lead to inaccurate secondary path model. In this work, the modelling of acoustic path using FIR filters is incorporated for both algorithms for Wiener-Hammerstein structure. …”
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3
Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…The algorithms are evaluated using 30 benchmark functions of the CEC2014 benchmark suite, and then applied to solve PCB drill path optimization case study. …”
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4
Modelling of multi-robot system for search and rescue
Published 2023“…Moreover, to cope with dynamic environments, a combination of global and local path planning methods is introduced. The PSO algorithm functions as a global path planner, determining the complete path for each robot, whereas a sensor-based obstacle avoidance algorithm serves as a local planner to avoid collision with dynamic obstacles during navigation. …”
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5
Nonlinear FXLMS algorithm for active noise control systems with saturation nonlinearity
Published 2012“…Simulation results show that the performance of the THF-based NLFXLMS algorithm is comparable with the SEF-based NLFXLMS.…”
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6
Real time nonlinear filtered-x lms algorithm for active noise control
Published 2012“…Subsequently, the THF modelling scheme can be incorporated into an established real time NLFXLMS algorithm termed THF-NLFXLMS algorithm. The developed THF-NLFXLMS algorithm is tested by means of simulation and implemented experimentally using FPGA-based real time controller for a nonlinear ANC application. …”
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7
Virtual force field algorithm for a behaviour-based autonomous robot in unknown environments
Published 2011“…The path-planning algorithm is based on the VFF and BF methods. …”
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8
Test case generation from state machine with OCL constraints using search-based techniques / Aneesa Ali Ali Saeed
Published 2017“…The whole constraint analyzer and the fitness function were combined with four SBTs (genetic algorithm, evolutionary algorithm, simulating annealing, and quantum genetic algorithm). …”
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9
Optimised multi-robot path planning via smooth trajectory generation
Published 2024“…A MPSO algorithm, without path smoothening, is used for comparison. …”
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10
Performance evaluation of heuristic methods in solving symmetric travelling salesman problems
Published 2016“…The modified RTS algorithm also performed better compared to the existing heuristic methods. …”
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11
The Development Of A Robust Algorithm For Uav Path Planning In 3d Environment
Published 2016“…Significant research has been conducted on Unmanned Aerial Vehicle (UAV) path planning using evolutionary algorithms, such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Differential Evolution (DE), and Biogeographic-Based Optimization (BBO). …”
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12
A comparative study of heuristic methods to solve Traveling Salesman Problem (TPS)
Published 2011“…The implementations of the three methods to solve TSP show that the RTS algorithm provides a better solution in terms of minimizing the objective function while SA algorithm is less time consuming in solving problem with large number of cities.In conclusion, RTS is more effective in producing good quality solution and on the other hand, SA may be used to obtain instant results.…”
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13
Simulation of spline based NC- manufacturing of plastic optical components
Published 2011“…The paper discusses about the precision of manufacturing aspheric surfaces based on spline interpolation method. Splines are used in defining the tool path of an NC-machine in order to improve the precision. …”
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14
Genetic algorithm based network coding in wireless ad hoc networks
Published 2013“…In this work, an adaptive genetic algorithm based coding-aware routing (AGACAR) is also proposed to improve the solution on the GACAR. …”
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15
Adaptive model predictive control based on wavelet network and online sequential extreme learning machine for nonlinear systems
Published 2015“…Moreover, the ability of initialization the hidden nodes parameters using density function and recursive algorithm will help WN-OSELM to perform useful generalization facility and modeling accuracy. …”
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16
An experimental study of neighbourhood based metaheuristic algorithms for test case generation satisfying the modified condition / decision coverage criterion
Published 2018“…Although useful, the existing algorithms does not provide any comparative data to select an algorithm based on the problem size and difficulty and the use of other neighborhood algorithms (including Great Deluge and Late Acceptance Hill Climbing) has not been sufficiently explored as well. …”
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17
Synthesis of transistor chaining algorithm for CMOS cell layout using euler path / Sukri Hanafiah
Published 1997“…The euler's path it using pseudo input and Heuristic algorithm to find the minimum interlace. …”
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18
Cognitive map approach for mobility path optimization using multiple objectives genetic algorithm
Published 2023Conference Paper -
19
Alternative solar-battery charge controller to improve system efficiency
Published 2015“…A Simulink Matlab simulator is attempted in the simulation phase of this research as well as an experimental data has been collected to verify the circuit function and energy saving goal.…”
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20
On-chip communication system modeling approach for reability analysis focusing on functional failures
Published 2012“…This research also investigates the tradeoff between accuracy and computational cost in crosstalk modeling as a part of the modeling approach which has critical impact on the total simulation precision and computational cost. Two algorithms are proposed to control the crosstalk simulation error while minimizing the required computational cost.An adaptive modeling window sizing method, along with an upper bound on the sampling error were applied to guarantee a high order of precision in simulating the crosstalk noise for an RLC interconnect model. …”
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