Search Results - (( its application ((need algorithm) OR (bee algorithm)) ) OR ( _ application towards algorithm ))*
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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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A class skew-insensitive ACO-based decision tree algorithm for imbalanced data sets
Published 2021“…This condition impeded the entropy-based heuristic of existing ATM algorithm to develop effective decision boundaries due to its biasness towards the dominant class. …”
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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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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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Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm
Published 2022“…Genetic algorithm was widely used because of its accuracy and simplicity. …”
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Academic Exercise -
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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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Adopting Jaya Algorithm for Team Formation Problem
Published 2020“…This paper presents a simple and mighty metaheuristic algorithm, Jaya, which is applied to solve the team formation (TF) problem and it is a very fundamental problem in many databases and expert collaboration networks or web applications. …”
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Conference or Workshop Item -
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Genetic algorithm optimized receiver-oriented packet clustering in multi-buffer network card
Published 2016“…Its optimization factors revolve around the number of buffers, the number of applications that need access to the clusters, capacity of each buffer, transmission size, packet size, and number of packets. …”
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Optimal design of step – cone pulley problem using the bees algorithm
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An adaptively switching iteration strategy for population based metaheuristics / Nor Azlina Ab. Aziz
Published 2017“…An iteration strategy is able to improve the performance of a parent algorithm and cause another parent algorithm to perform badly. …”
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Data clustering using the bees algorithm
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Conference or Workshop Item -
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Normalized Relational Storage for Extensible Markup Language (XML) Schema
Published 2011“…Problem statement: The use of XML as the common formats for representing, exchanging, storing, integrating and accessing data posses many new challenges to database systems. Most of application data are stored in relational databases due to its popularity and rich development experiences over it. …”
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Application of nature-inspired algorithms and artificial intelligence for optimal efficiency of horizontal axis wind turbine / Md. Rasel Sarkar
Published 2019“…There is no particular study which focuses on the optimization and prediction of blades parameters using natural inspired algorithms namely Ant Colony Optimization (ACO), Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO) and Adaptive Neuro-fuzzy Interface System (ANFIS) respectively for optimal power coefficient (�436�45D ). …”
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Optimisation of Surface Roughness in 3D Printing Using the Bees Algorithm
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Obstacle Detection And Avoidance System
Published 2018“…Current technology trend is moving towards automation and people need things to be done automatically. …”
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