Parameter Determination for Nano-Scale Modelling
Proceedings of the 6th International Conference on Computational Intelligence, Theory and Applications: Fuzzy Days
Microelectronic Engineering
On the performance of artificial bee colony (ABC) algorithm
Applied Soft Computing
Journal of Global Optimization
Thermally annealed Ni/n-GaAs(Si)/In Schottky barrier diodes
Microelectronic Engineering
Fabrication and electrical characteristics of Schottky diode based on organic material
Microelectronic Engineering
Genetic algorithm for test pattern generator design
Applied Intelligence
Artificial bee colony algorithm for small signal model parameter extraction of MESFET
Engineering Applications of Artificial Intelligence
A PAPR reduction method based on artificial bee colony algorithm for OFDM signals
IEEE Transactions on Wireless Communications
A modified Artificial Bee Colony (ABC) algorithm for constrained optimization problems
Applied Soft Computing
A multi-threshold segmentation approach based on Artificial Bee Colony optimization
Applied Intelligence
Optimizing the modified fuzzy ant-miner for efficient medical diagnosis
Applied Intelligence
Artificial bee colony algorithm and pattern search hybridized for global optimization
Applied Soft Computing
Computational Optimization and Applications
Dynamic bee colony algorithm based on multi-species co-evolution
Applied Intelligence
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In this paper, a new method based on the modified artificial bee colony (MABC) algorithm to determine the main characteristic parameters of the Schottky barrier diode such as barrier height, ideality factor and series resistance. For this model, the Ni/n-GaAs/In Schottky barrier diode was produced and annealed at different temperature in a laboratory. The performance of the modified ABC method was compared to that of the basic artificial bee colony (ABC), particle swarm optimization (PSO), differential evolution (DE), genetic algorithm (GA) and simulated annealing (SA). From the results, it is concluded that the modified ABC algorithm is more flexible and effective for the parameter determination than the other algorithms.