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Random traveling wave pulse coupled oscillator (RTWPCO) algorithm of energy-efficient wireless sensor networks
Published 2018“…As a result, it is more suitable and harder to identify demands in all applications. The pulse-coupled oscillator mechanism causing delay and uncharitable applications needs to reduce energy consumption to the smallest level. …”
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Home buyer assistant using artificial bee colony algorithm / Muhammad Izzat Azri Azman
Published 2017“…This project used Artificial Bee Colony Algorithms (ABC) by adapting the food foraging behaviour of bee in honey bee and find a suitable house for home buyer based on their requirement. …”
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Artificial Bee Colony Algorithm for Pairwise Test Generation
Published 2017“…PABC progresses as a means to achieve the effective use of the artificial bee colony algorithm for pairwise testing reduction.…”
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Honey bee based trust management system for cloud computing
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Acoustic emission partial discharge localization in oil based on artificial bee colony
Published 2025“…It is known that localization algorithms are among the factors that can affect PD localization accuracy, and the ongoing research in this area underscores the need for further advancements in this topic. …”
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Content caching in ICN using Bee-Colony optimization algorithm
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Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm
Published 2022“…For example, Genetic Algorithm with Particle Swarm Optimization, Genetic Algorithm with Artificial Bee Colony Algorithms (ABC) and Genetic Algorithm with Ant Colony Optimization Algorithms. …”
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Improved tree routing protocol in zigbee networks
Published 2010“…ImpTR algorithm reduces the average end-to-end delay by (10-31) % which is the time needs to transmit packets between source and sink node, decrease the energy consumption from the whole network by (8-40) % , reduce the number of hops need to transmit data packets to sink node by (3-32)%, and increases the average throughput by (4-65) % which is average number of bits receive in sink node per second.…”
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A review of training methods of ANFIS for applications in business and economic
Published 2016“…Other than that, Genetic Algorithm (GA), Firefly Algorithm (FA), Ant Bee Colony (ABC) optimization methods have been employed for effective training of ANFIS networks when solving various problems in the field of business and finance.…”
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A review of training methods of ANFIS for applications in business and economics
Published 2016“…Other than that, Genetic Algorithm (GA), Firefly Algorithm (FA), Ant Bee Colony (ABC) optimization methods have been employed for effective training of ANFIS networks when solving various problems in the field of business and finance.…”
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ABC-PSO for vertical handover in heterogeneous wireless networks
Published 2017“…Nevertheless, attributes of mobile devices need algorithms that are quick and effective in order to select best available network near real-time. …”
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Using the bees algorithm to optimise a support vector machine for wood defect classification
Published 2007“…This paper describes a new application of the Bees Algorithm to the optimization of a Support Vector Machine (SVM) for the problem of classifying defects in plywood. …”
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