Preference Based Indicator MODE

This code runs the PBI_MODE algorithm. It is a MOEA using as a diversity, convergence and preference mechanism a quality indicator.
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Updated 11 Feb 2021

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Preference Based Indicator Multi-objective Differential Evolution

This code runs the PBI_MODE algorithm. It is a MOEA using as a diversity, convergence and preference mechanism a quality indicator of the approximated Pareto front. In particular, it uses the Differential Evolution algorithm as evolutionary process.

For detailed description of the implemented mechanisms see the following:

Preference based indicator mechanism [1]: Thiele, L., Miettinen, K., Korhonen, P. J., & Molina, J. (2009). A preference-based evolutionary algorithm for multi-objective optimization. Evolutionary computation, 17(3), 411-436.

Differential Evolution algorithm [2]: Storn, R., & Price, K. (1997). Differential evolution–a simple and efficient heuristic for global optimization over continuous spaces. Journal of global optimization, 11(4), 341-359.

Cite As

Gilberto Reynoso-Meza (2026). Preference Based Indicator MODE (https://in.mathworks.com/matlabcentral/fileexchange/87262-preference-based-indicator-mode), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2020b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0