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- W2968460669 abstract "The paper presents a swarm intelligence and evolutionary adaptation mechanism for solving PCB design tasks. One of the features of the swarm intelligence mechanism is exploring the solution vicinity based on genetic and evolutionary algorithms in terms of PCB design tasks. To solve the mentioned problems, the authors propose a greedy operator. The paper describes the swarm intelligence method and the hybrid algorithm, which uses the swarm and the evolutionary algorithms consistently for solving PCB design tasks. The developed method of bioinspired searching for the optimal solutions proposes the adaptive filter reducing the solutions with low values of fitness function. The experimental results show that the computational and time complexities are within the polynomial behavior. The results allow the authors to note that the genetic algorithm works mostly with the random factor and the evolutionary algorithm uses the directivity factor." @default.
- W2968460669 created "2019-08-22" @default.
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- W2968460669 date "2019-04-01" @default.
- W2968460669 modified "2023-09-23" @default.
- W2968460669 title "Mechanisms of swarm intelligence and evolutionary adaptation for solving PCB design tasks" @default.
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- W2968460669 doi "https://doi.org/10.1109/sed.2019.8798449" @default.
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