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Constrained MOO using GA 1.0
File ID: 79356






Constrained MOO using GA 1.0
Download Constrained MOO using GA 1.0http://www.mathworks.comReport Error Link
License: Freeware
File Size: 10.0 KB
Downloads: 136
User Rating:4 Stars  (1 rating)
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Constrained MOO using GA 1.0 Description
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 > 30

The set of non-dominated solutions is plotted in the objective space, and displayed in the console.

License: Freeware

Related: displayed, Algorithms, as follows, Code, constrained multiobjective, 3x2 f2x, 3d 2x1, 2b 1x2, 20 gt, 2b 3x2, 2x1 2b, Set, Defined, Demo, gt 20, genetic algorithms, gt 30the, gt x1, gt x2, ga to

O/S:BSD, Linux, Solaris, Mac OS X

File Size: 10.0 KB

Downloads: 136



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