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Volume :7 Issue : 3 2000      Add To Cart                                                                    Download

A Genetic Algorithm for Quadratic Pseudo-Boolean Function

Auther : Jafar M. Ali, Merza H. Hassan & Talal M. Al-Khamis

The applications of genetic algorithm (GA) have grown rapidly in recent years and are being used in several disciplines ranging from industrial to financial fields. The characteristic and the nature of the problem itself render such a procedure. A meta-heuristic procedure genetic algorithm (GA), for the unconstrained quadratic Pseudo-Boolean function is developed. Several parameters were tested on different problem sizes to observe its final performance in terms of solution quality and computational effort. Computational results also demonstrate some discrepancies in the final solutions with different parameters. Finally, the proposed heuristics is capable of solving hard instance problems with a new quality solution in less computational time.

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Nov 19, 2019

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