A Multiple Objective Fitness Function Design Scheme for GA-Based Cognitive Engines

Keun Hong Chae; Hua Ping Liu; Seok Ho Yoon

doi:10.4028/www.scientific.net/AMM.764-765.444

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 764-765A Multiple Objective Fitness Function Design...

A Multiple Objective Fitness Function Design Scheme for GA-Based Cognitive Engines

Abstract:

In this paper, we propose a multiple objective fitness function for cognitive engines by using the genetic algorithm (GA). Specifically, we propose four single objective fitness functions, and finally, we propose a multiple objective fitness function based on the single objective fitness functions for transmission parameter optimization. Numerical results demonstrate that we can obtain transmission parameter sets optimized for given transmission scenarios with the GA-based cognitive engine incorporating the proposed objective fitness function.

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Periodical:

Applied Mechanics and Materials (Volumes 764-765)

Pages:

444-447

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.764-765.444

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Online since:

May 2015

Authors:

Keun Hong Chae, Hua Ping Liu, Seok Ho Yoon*

Keywords:

Cognitive Engine, Dynamic Spectrum Access (DSA), Genetic Algorithm (GA), Transmission Parameter

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* - Corresponding Author

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