Hybrid Genetic Algorithm and Simulated Annealing for Function Optimization

Hybrid Genetic Algorithm and Simulated Annealing for Function Optimization

The optimization problems on real-world usually have non-linear characteristics. Solving non-linear problems is time-consuming, thus heuristic approaches usually are being used to speed up the solution’s searching. Among of the heuristic-based algorithms, Genetic Algorithm (GA) and Simulated Anneali...

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Bibliographic Details
Main Authors: Tirana Noor Fatyanosa, Andreas Nugroho Sihananto, Gusti Ahmad Fanshuri Alfarisy, M Shochibul Burhan, Wayan Firdaus Mahmudy
Format: Article
Language:English
Published: University of Brawijaya 2017-02-01
Series:JITeCS (Journal of Information Technology and Computer Science)
Online Access:http://jitecs.ub.ac.id/index.php/jitecs/article/view/15

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