Modified multi verse optimizer for solving optimization problems using benchmark functions

• Main Authors: Jui, Julakha Jahan, Mohd Ashraf, Ahmad, Muhammad Ikram, Mohd Rashid
• Format: Conference or Workshop Item
• Language: English
• Published: IEEE 2020
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/28997/1/13.%20Modified%20multi%20verse%20optimizer%20for%20solving%20optimization%20problems%20using%20benchmark%20functions.pdf; http://umpir.ump.edu.my/id/eprint/28997/; https://doi.org/10.1109/I2CACIS49202.2020.9140097
• Institution: Universiti Malaysia Pahang

The hybrid version of multi-verse optimizer (MVO) namely the modified multi-verse optimizer (mMVO) is developed in this paper by modifying the position updating equation of MVO. Here two modification is proposed in the standard MVO. Firstly, an average position selection mechanism is proposed for so...