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All Journal JOIV : International Journal on Informatics Visualization
M. Iqbal Kamboh
Faculty of Computer Science & Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia
Computer Science & IT

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An Improved Flower Pollination Algorithm for Global and Local Optimization M. Iqbal Kamboh; Nazri Bin Mohd Nawi; Azizul Azhar Ramli; Fanni Sukma
JOIV : International Journal on Informatics Visualization Vol 5, No 4 (2021)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.5.4.738

Abstract

Meta-heuristic algorithms have emerged as a powerful optimization tool for handling non-smooth complex optimization problems and also to address engineering and medical issues. However, the traditional methods face difficulty in tackling the multimodal non-linear optimization problems within the vast search space. In this paper, the Flower Pollination Algorithm has been improved using Dynamic switch probability to enhance the balance between exploitation and exploration for increasing its search ability, and the swap operator is used to diversify the population, which will increase the exploitation in getting the optimum solution. The performance of the improved algorithm has investigated on benchmark mathematical functions, and the results have been compared with the Standard Flower pollination Algorithm (SFPA), Genetic Algorithm, Bat Algorithm, Simulated annealing, Firefly Algorithm and Modified flower pollination algorithm. The ranking of the algorithms proves that our proposed algorithm IFPDSO has outperformed the above-discussed nature-inspired heuristic algorithms.
Co-Authors Azizul Azhar Ramli Fanni Sukma Nazri Bin Mohd Nawi