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Constrained MOO using GA

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important script information
company name:
Wesam Elshamy
license: Free
minimum requirements: MATLAB 7.8 (R2009a)
functional limitations:
Constrained MOO using GA description
This code is a demo of using Genetic Algorithms (GA) to solve a simple constrained multi-objective optimization (MOO) problem.The objective is to find the pareto front of the MOO problem defined as follows: Maximize: f1(X) = 2*x1 + 3*x2 f2(X) = 2/x1 + 1/x2 such that: 10 > x1 > 20 20 > x2 > 30The set of non-dominated solutions is plotted in the objective space, and displayed in the console.
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downloads 3
version 1.0
size in Kb 10
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612/370770
user rating 5/10
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