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- W2559181859 abstract "Considering the disadvantages of the traditional Artificial Bee Colony (ABC) Algorithm, a Novel Adaptive Cooperative Artificial Bee Colony (ACABC) Algorithm is proposed in this paper. Some ideas including dividing bee swarm into two parts: main-bee swarm and vice-bee swarm, bringing a judge principle for local optimum points and narrowing bee swarm search interval adaptively are introduced and consequently served as the core of novel Adaptive Cooperative Artificial Bee Colony Algorithm. The performance of PSO, DE, ABC and ACABC algorithms are compared using 10 kinds benchmark testing functions. Simulation results show ACABC owns better optimizing precision and speed and preferable anti-jamming ability, which can be applied for solving other complicated optimization problems." @default.
- W2559181859 created "2016-12-08" @default.
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- W2559181859 date "2016-01-01" @default.
- W2559181859 modified "2023-09-22" @default.
- W2559181859 title "A Novel Adaptive Cooperative Artificial Bee Colony Algorithm for Solving Numerical Function Optimization" @default.
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- W2559181859 doi "https://doi.org/10.1007/978-981-10-2663-8_3" @default.
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