Time Table generation using Genetic Algorithms ( Java-Struts2)
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Updated
Apr 29, 2017 - Java
Time Table generation using Genetic Algorithms ( Java-Struts2)
Genetic Algorithm in C++ with template metaprogramming and abstraction for constrained optimization
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The library provides a general genetic algorithm. It is simple, easy to use, and very fast. All you need to do is to define the fitness function and its variables. There are many examples of how to deal with classic genetic algorithms problems.
In 5 antenna problem we have to place 5 antennas (a, b, c, d, e) on a 6x6 grid in such a way that maximum area is covered by their signals. To find the best solution we use Genetic Algorithm, upon a population of twenty random individuals/chromosomes.
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