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- W2901867447 abstract "Aiming at the disadvantage of poor convergence performance of PSO and artificial swarm algorithm, an improved hybrid algorithm is proposed to overcome the shortcomings of complex optimization problems. Through the test of four standard function by hybrid algorithm and compared the result with standard particle swarm optimization (PSO) algorithm and Artificial Bee Colony (ABC) algorithm, the convergence rate and convergence precision of the hybrid algorithm are both superior to those of the standard particle swarm algorithm and Artificial Bee Colony algorithm, presenting a better optimal performance." @default.
- W2901867447 created "2018-11-29" @default.
- W2901867447 creator A5086373639 @default.
- W2901867447 date "2018-08-01" @default.
- W2901867447 modified "2023-09-29" @default.
- W2901867447 title "An Improved Hybrid Group Intelligent Algorithm Based on Artificial Bee Colony and Particle Swarm Optimization" @default.
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- W2901867447 doi "https://doi.org/10.1109/icvris.2018.00046" @default.
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