Search Results - (( simultaneously implementation ant algorithm ) OR ( java segmentation using algorithm ))
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1
Chaotic ant swarm optimization for economic dispatch considering transmission losses / Amelia Abd Razak
Published 2012“…This algorithm combines with the chaotic and selforganization behaviour ants in the foraging process. …”
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2
Optimum tuning of Unified Power Flow Controller (UPFC) via Ant Colony Optimization (ACO) technique / Zulkiffli Abdul Hamid
Published 2010“…The algorithm was implemented in MATLAB applied to the IEEE-30 Bus Reliability Test System (RTS). …”
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3
Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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4
Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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5
Optimal cost benefit of the EToU electricity tariff for a manufacturing operation by using optimization algorithm
Published 2021“…Optimization algorithm namely Ant Colony Optimization (ACO) is implemented and cases with and without implementation of algorithm are compared in order to idealize the load profile of DSM strategy. …”
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Development of seven segment display recognition using TensorFlow on Raspberry Pi
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Optimal load management strategy for enhanced time of use (ETOU) electricity tariff in Peninsular Malaysia / Mohamad Fani Sulaima
Published 2020“…Particle swarm optimization (PSO), evolutionary particle swarm optimization (EPSO), and ant colony optimization (ACO) algorithms were applied to optimize the simultaneous LM strategies of peak clipping, valley filling and load shifting in order to minimize the energy consumption and maximum demand costs, and improve economic indexes such as load factor and building economic efficiency response. …”
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8
Effective electricity cost management in a manufacturing operation by using optimal ETOU tariff formulation / M. F. Sulaima, N. Y. Dahlan and Z. M. Yasin
Published 2019“…A superior bio-inspired algorithm, Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) had been implemented and compared in order to optimize the upright load profile of load management strategy. …”
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