Most Valuable Player Algorithm: a novel optimization algorithm inspired from sport

Version 1.0.0.0 (1.19 MB) by Houssem
Most Valuable Player Algorithm
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Updated 20 Jul 2017

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This is a new metaheuristic called the Most Valuable Player Algorithm (MVPA) for solving optimization problems.
The developed algorithm is inspired from sport where players form teams, then these players compete collectively (in teams) in order to win the championship and they compete also individually in order to win the MVP trophy.
The MVPA is a very competitive optimization algorithm, it converges rapidly (with smaller number of functions evaluations) and more successfully (with higher overall success percentage) than many other optimization algorithms.

Cite As

Houssem (2024). Most Valuable Player Algorithm: a novel optimization algorithm inspired from sport (https://www.mathworks.com/matlabcentral/fileexchange/63798-most-valuable-player-algorithm-a-novel-optimization-algorithm-inspired-from-sport), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2015a
Compatible with any release
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Version Published Release Notes
1.0.0.0