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Application of Bee Colony Optimization (BCO) in NP-Hard Problems
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Final Year Project -
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Optimal design of step – cone pulley problem using the bees algorithm
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Book Chapter -
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Application of the Bees Algorithm to find optimal drill path sequence
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Proceeding Paper -
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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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Conference or Workshop Item -
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Bees algorithm for Forest transportation planning optimization in Malaysia
Published 2021“…Although no literature was found regarding forest transportation planning problem optimization with regards to Bees Algorithm (BA), rules set for several transportation problem evidenced from literature search seems to be applicable to forestry. …”
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Article -
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Assembly sequence optimization using the bees algorithm
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Book Chapter -
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Optimization of drilling path using the bees algorithm
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Development Of Artificial Bee Colony (Abc) Variants And Memetic Optimization Algorithms
Published 2017“…One of BIAs, artificial bee colony (ABC) optimization algorithm, has shown excellent performance in many applications compared to other optimization algorithms. …”
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Thesis -
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Bees algorithm technique for solving economic dispatch / Shahrizan Jabar
Published 2012“…This paper presents an application of Bee Algorithm (BA) for solving Economic Dispatch (ED) problem in 6-units and 15-units system. …”
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Thesis -
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Bees algorithm technique for solving economic dispatch: article / Shahrizan Jabar
Published 2012“…This paper presents an application of Bee Algorithm (BA) for solving Economic Dispatch (ED) problem in 6-units and 15-units system. …”
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Article -
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Artificial bee colony for inventory routing problem with backordering
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Conference or Workshop Item -
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Data clustering using the bees algorithm
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Conference or Workshop Item -
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Multi objective bee colony optimization framework for grid job scheduling
Published 2013“…Grid computing is the infrastructure that involves a large number of resources like computers, networks and databases which are owned by many organizations.Job scheduling problem is one of the key issues because of high heterogeneous and dynamic nature of resources and applications in the grid computing environment.Bee colony approach has been used to solve this problem because it can be easily adapted to the grid scheduling environment.The bee algorithms have shown encouraging results in terms of time and co st.In this paper a framework for multi objective bee colony optimization is proposed to schedule batch jobs to available resources where the number of jobs is greater than the number of resources.Pareto analysis and k-means analysis are integrated in the bee colony optimization algorithm to facilitate the scheduling of jobs to resources.…”
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Conference or Workshop Item -
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The Application of Artificial Bee Colony and Gravitational Search Algorithm in Reservoir Optimization
Published 2016“…This paper presented the application of Artificial Bee Colony (ABC) and Gravitational Search Algorithm (GSA) in reservoir optimization. …”
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