Abstract: Brain Storm Optimization (BSO) is one of the major effective swarm intelligence algorithms that simulate the human brainstorming process to find optimality for optimization problems. BSO method has successfully been applied to many real-world problems. This study employs BSO method, called BSO-IP, to solve the integer programming problem. Our method collects best solutions to generate new solutions that then search for optimal solutions in all areas of search space.The BSO-IP method solves some benchmark integer programming problems to test its efficiency. The BSO-IP is used to simulate the 3D protein structure prediction problem, which is mathematically presented as an integer programming problem to approve the viability and helpfulness of our proposed Algorithm. The experimental results of different benchmarks protein structure show that our proposed method is superior in high performance, convergence, and stability in predicting protein structure. We examined our strategy results to be promising compared to other results.

Alaa Fahim and Nehad Abdelraheem, “An Adaptive Discrete Brain Storm Algorithm Solves 3D Protein Structure Prediction” International Journal of Advanced Computer Science and Applications(IJACSA), 12(8), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120896

@article{Fahim2021,
title = {An Adaptive Discrete Brain Storm Algorithm Solves 3D Protein Structure Prediction},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120896},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120896},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {8},
author = {Alaa Fahim and Nehad Abdelraheem}
}