Grand Tour Algorithm - GTA

Version 1.0.0 (3.48 KB) by gustavo lima
A Novel Swarm-based Optimization for High-dimensional Problems
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Updated 5 Aug 2020

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The Grand Tour Algorithm (GTA) is a swarm optimization technique based on the behavior of a peloton of cyclists, which embodies relevant physical concepts as well. GTA fulfils the main aspects of an optimization algorithm as ease of implementation, speed of convergence, and reliability, and is well suited for high dimension problems. In addition to the GTA source code, the folllowing 14 benchmarking codes are provided to test the algorithm.

Benchmarking Functions:
1) Paraboloid
2) Sphere
3) Rosenbrock
4) Rastrigin
5) Griewank
6) Schaffer's f6
7) Alpine
8) Brown
9) Chung Reynolds
10) Dixon Price
11) Exponential
12) Salomon
13) Schumer Steiglitz
14) Sum of Powers
15) Sum of Squares
16) Zakharov

Cite As

gustavo lima (2024). Grand Tour Algorithm - GTA (https://www.mathworks.com/matlabcentral/fileexchange/78922-grand-tour-algorithm-gta), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2020a
Compatible with any release
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Version Published Release Notes
1.0.0