Search Results - (( solution using force algorithm ) OR ( java implication based algorithm ))
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Route Planning Analysis In Holes Drilling Process Using Magnetic Optimization Algorithm For Electronic Manufacturing Sector
Published 2013“…Most of the computer numerical controlled machines used nearest neighbour algorithm to plan the route for the drill bit to travel. …”
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Integrating fuzzy logic and brute force algorithm in optimizing energy management systems for battery electric vehicles
Published 2023“…This research proposes a solution to achieve more efficient control of HVAC consumption by integrating fuzzy logic techniques with brute-force algorithms to optimize the Energy Management System (EMS) in BEVs. …”
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Comparison between Lamarckian Evolution and Baldwin Evolution of neural network
Published 2006“…Traditional schema theory does not support Lamatckian learning, i.e, forcing the genetic representation to match the solution found by the learning algorithm. …”
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Obstacle Avoidance by Steering and Braking with Minimum Total Vehicle Force
Published 2016“…This algorithm realizes optimal control by minimizing the total vehicle force using integrated steering and braking control. …”
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Integrating fuzzy logic and brute force algorithm in optimizing Energy Management Systems for Battery Electric Vehicles
Published 2024“…This research proposes a solution to achieve more efficient control of HVAC consumption by integrating fuzzy logic techniques with brute-force algorithms to optimize the Energy Management System (EMS) in BEVs. …”
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Refinement of Tuned Mass Damper parameters on machine support structure using dynamic Cuckoo Search algorithm
Published 2025“…In the dynamic CS algorithm, the value for discovery probability (pa) and the step size factor (a) are changed dynamically which changes the convergence speed to the solution. …”
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A hybrid genetic algorithm for optimization of scheduling workflow applications in heterogeneous computing systems
Published 2016“…The performance of the proposed algorithm is analyzed by using synthesized datasets, and real-world application workflows. …”
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Efficient and secured compression and steganography technique in wireless sensor network
Published 2016“…The proposed solution comes with low complexity and is used to en- hance the security of the standard LSB algorithm by replacing an originally less secured sequential data hiding with a random pixel selection. …”
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Simulation Based Analysis of Kinematics, Dynamics and Control of Space Robots
Published 1996“…The resolved motion rate control algorithm was used for time periodic feedback control. …”
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Force and impedance control for hydraulically driven hexapod robot walking on uneven terrain
Published 2012“…A variety approach of multi-legged robot designs, especially on a large scale design with hydraulically driven actuators exist, but most of it still unsolved and used primitive techniques on control solutions. This made this area of research still far from demonstrating the scientific solutions, which is more towards developing and optimizing the algorithm, control technique and software engineering for practical locomotion (flexibility and reliability). …”
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Optimization and prediction of battery electric vehicle driving range using adaptive fuzzy technique
Published 2022“…The study also developed an algorithm for predictive EMS using fuzzy model predictive control technique based on regression algorithm. …”
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Adaptive mesh refinement immersed boundary method for simulations of laminar flows past a moving thin elastic structure
Published 2020“…The cut-cell IBM is used to predict the body forces while FEM is used to predict deformation of the thin elastic structure in order to integrate the motions of the fluid and solid at the interface. …”
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An Intelligent System Approach to the Dynamic Hybrid Robot Control
Published 1996“…A one-pass smoothing algorithm was used to generate a practical smooth trajectory path in near real time. …”
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Multi -Objective Economic Dispatch Using Evolutionary Programming
Published 2023“…Weighted Sum Method (WSM) has been applied to find trade-off solution between both objectives. Two constraints used to increase performance of this project which are equality and inequality constraints. …”
