Assessing the symbiotic organism search variants using standard benchmark functions

• Main Authors: Nurul Asyikin, Zainal, Fakhrud, Din, Kamal Z., Zamli
• Format: Conference or Workshop Item
• Language: English; English
• Published: 2019
• Subjects: QA76 Computer software
• Online Access: http://umpir.ump.edu.my/id/eprint/25428/1/40.%20Assessing%20the%20symbiotic%20organism%20search%20variants.pdf; http://umpir.ump.edu.my/id/eprint/25428/2/40.1%20Assessing%20the%20symbiotic%20organism%20search%20variants.pdf; http://umpir.ump.edu.my/id/eprint/25428/
• Institution: Universiti Malaysia Pahang

Symbiotic Organism Search (SOS) is one of the latest meta-heuristic algorithms created to solve optimization problems. Combining the fact that this new algorithm is parameter-less (no need for tuning) and having a superior performance compared with other meta-heuristic algorithms, the interest to in...