3) The graph k-coloring problem is stated as follows: Given an undirected graph G = (V,E) with N vertices and M edges and an integer k. Assign to each vertex v in V a color c(v) such that 1< c(v)

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3) The graph k-coloring problem is stated as follows: Given an undirected graph G = (V,E)
with N vertices and M edges and an integer k. Assign to each vertex v in Va color c(v)
such that 1< c(v)<k and c(u) <o c(v) for every edge (u, v) in E. In other words you want
to color each vertex with one of the k colors you have and no two adjacent vertices can
have the same color. (2 marks)
For example, the following graph can be 3-colored using the following color assignments:
a=1,b=2,c=1,d%32,e=3,f=2,g=3
a---b---c---g
d
f
Formulate the graph k-coloring problem as an evolutionary optimization. You may use a vector
of integer representation, OR any representation that you think is more appropriate. you
should specify:
A representation.
• A fitness function. Give 3 examples of individuals and their fitness values if you are
solving the above example.
• A set of mutation and/or crossover and/or repair operators. Intelligent operators
that are suitable for this particular domain will earn more credit.
• A termination criterion for the evolutionary optimization which insures that you
terminate with a valid solution to the graph k-coloring problem if possible without
running indefinitely.
Transcribed Image Text:3) The graph k-coloring problem is stated as follows: Given an undirected graph G = (V,E) with N vertices and M edges and an integer k. Assign to each vertex v in Va color c(v) such that 1< c(v)<k and c(u) <o c(v) for every edge (u, v) in E. In other words you want to color each vertex with one of the k colors you have and no two adjacent vertices can have the same color. (2 marks) For example, the following graph can be 3-colored using the following color assignments: a=1,b=2,c=1,d%32,e=3,f=2,g=3 a---b---c---g d f Formulate the graph k-coloring problem as an evolutionary optimization. You may use a vector of integer representation, OR any representation that you think is more appropriate. you should specify: A representation. • A fitness function. Give 3 examples of individuals and their fitness values if you are solving the above example. • A set of mutation and/or crossover and/or repair operators. Intelligent operators that are suitable for this particular domain will earn more credit. • A termination criterion for the evolutionary optimization which insures that you terminate with a valid solution to the graph k-coloring problem if possible without running indefinitely.
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