Search Results - intelligence gain ((force algorithm) OR (search algorithm))
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Intelligent energy allocation strategy for PHEV charging station using gravitational search algorithm
Published 2014“…We used Gravitational Search Algorithm (GSA) to intelligently allocate energy to the PHEVs considering constraints such as energy price, remaining battery capacity, and remaining charging time.…”
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Nature-Inspired Heuristic Frameworks Trends in Solving Multi-objective Engineering Optimization Problems
Published 2025“…These algorithms are inspired and modelled based on the searching behaviour of animals in real life. …”
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The advantages of genetic algorithm and neural networks to forecast air pollution trend in Malaysia: an overview / Mohamad Idham Md Razak … [et al.]
Published 2012“…Genetic Algorithms (GAs) are adaptive heuristic search algorithm premised on the evolutionary ideas of natural selection and genetic. …”
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Embedded parallel distributed artificial intelligent processors for adaptive beam forming in WCDMA system
Published 2023“…Genetic algorithms (GAs) are powerful search techniques that are used successfully to solve problems in many different disciplines. …”
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Optimization of fed-batch fermentation processes using the Backtracking Search Algorithm
Published 2018“…DE traditionally performs better than other evolutionary algorithms and swarm intelligence techniques in optimization of fed-batch fermentation. …”
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A hybrid local search algorithm for minimum dominating set problems
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A hybrid local search algorithm for minimum dominating set problems
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A new variable strength t-way strategy based on the cuckoo search algorithm
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Process Planning Optimization In Reconfigurable Manufacturing Systems
Published 2008“…The five (5) AADTs include; a variant of the simulated annealing algorithm that implements heuristic knowledge at critical decision points, two (2) cooperative search schemes based on a “loose hybridization” of the Boltzmann Machine algorithm with (i) simulated annealing, and (ii) genetic algorithm search techniques, and two (2) modified genetic algorithms. …”
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Thesis -
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A Kalman-Filter-Based Sine-Cosine Algorithm
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Extended bat algorithm for PID controller tuning of wheeled mobile robot and swarm robotics target searching strategy
Published 2020“…The accuracy is 99% to arrive at the desired location compared with target searching strategy based on PSO and BA. Hence, EBA which is the proposed method is able to develop target searching algorithm for swarm robotic system and tuning PD controller gains for wheeled mobile robot.…”
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Thesis -
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Solving the minimum dominating set problem of partitioned graphs using a hybrid bat algorithm
Published 2020“…However, population-based algorithms are not good in exploiting the search space in comparison to single-solution based methods, therefore, we included the Simulated annealing (SA) algorithm to balance between exploitation and exploration in order to reach a best possible solution. …”
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Real time self-calibration algorithm of pressure sensor for robotic hand glove system
Published 2019“…The proposed method was validated by comparing the output force of PSCA with the experimental target force from load cell (reference). …”
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Thesis -
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Online DE optimization for Fuzzy-PID controller of semi-active suspension system featuring MR damper
Published 2022“…The semi-active suspension system outperformed other suspension systems because it contains an intelligent actuator that can give the appropriate force to dissipate unwanted vibration using intelligent and real-time controllers. …”
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Development of a robust intelligent controller for a semi-active car suspension system
Published 2022“…Semi-active suspension systems outperformed passive and active suspension systems because it contains an intelligent actuator that can give the appropriate force to dissipate unwanted vibration using intelligent and real-time controllers. …”
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Ant colony optimization algorithm for rule based classification: Issues and potential
Published 2018“…ACO has gained importance because of its stochastic feature and iterative adaptation procedure based on positive feedback, both of which allow for the exploration of a large area of the search space. …”
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