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- W859653753 abstract "Bio-inspired algorithms (BIAs) implemented to solve various optimization problems have shown promising results which are very important in this severely complex real-world. Artificial Bee Colony (ABC) algorithm, a kind of BIAs has demonstrated tremendous results as compared to other optimization algorithms. This paper presents a new modified ABC algorithm referred to as JA-ABC3 with the aim to enhance convergence speed and avoid premature convergence. The proposed algorithm has been simulated on ten commonly used benchmarks functions. Its performance has also been compared with other existing ABC variants. To justify its robust applicability, the proposed algorithm has been tested to solve Reactive Power Optimization problem. The results have shown that the proposed algorithm has superior performance to other existing ABC variants e.g. GABC, BABC1, BABC2, BsfABC dan IABC in terms of convergence speed. Furthermore, the proposed algorithm has also demonstrated excellence performance in solving Reactive Power Optimization problem." @default.
- W859653753 created "2016-06-24" @default.
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- W859653753 date "2015-01-01" @default.
- W859653753 modified "2023-09-25" @default.
- W859653753 title "Modified artificial bee colony algorithm for reactive power optimization" @default.
- W859653753 doi "https://doi.org/10.1063/1.4915670" @default.
- W859653753 hasPublicationYear "2015" @default.
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