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Multiobjective Bat Algorithm (MOBA)

version 1.0.0 (6.36 KB) by XS Yang
This demo shows how the multiobjective bat algorithm (MOBA) works.

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Updated 29 Mar 2020

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The multiobjective bat algorithm (MOBA) is a nature-inspired optimization algorithm. This demo solves the bi-objective ZDT3 functions with D=30 (dimensions), and the obtained Pareto Front is displayed. It is relatively straightforward to extend this code to solve other multi-objective functions and optimization problems. You can change the objective functions, the dimensionality, and simple lower and upper bounds (Lb, Ub) as well as certain parameters.

Cite As

XS Yang (2021). Multiobjective Bat Algorithm (MOBA) (https://www.mathworks.com/matlabcentral/fileexchange/74753-multiobjective-bat-algorithm-moba), MATLAB Central File Exchange. Retrieved .

Yang, Xin She. “Bat Algorithm for Multi-Objective Optimisation.” International Journal of Bio-Inspired Computation, vol. 3, no. 5, Inderscience Publishers, 2011, p. 267, doi:10.1504/ijbic.2011.042259.

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MATLAB Release Compatibility
Created with R2011a
Compatible with any release
Platform Compatibility
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