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genetic algorithms

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by

moh mob

on 15 September 2013

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Transcript of genetic algorithms

Genetic Algorithms
what is Genetic ?
Population
XY
XX
Crossover
XY

XX
What are Genetic Algorithms ?!
are

"search an optimization technique based on Darwin’s principle of natural selection."
"SELECT THE BEST, DISCARD THE REST"

Darwin
Example
F(
x
)= 3x^2 + 4
where x [10,20]
10
11
12
13
14
15
16
17
18
19
20
Population
10
11
12
13
14
15
16
17
18
19
20
f(11)= 3*11^2+4=367
f(13)=3*13^2+4= 511
f(16)=3*16^2+4= 772
f(19)=3*19^2+4= 1087
Selection
Single po
int crossover
two po
ints cros
sover
Cut splice cros
sover
01 10 00
01 00 11

01
00
00
01
10
1 1
X
01 1 000
010 0 1 1

011
0 11
010
000
0110 00
01 001 1

0110
0011
01
00
Max problem optimization
Results
d
o
ne by:
M





h
a
m
moba
i
deen
e
d
Ramz
l-
Q
r
a
i
n
y
abd al-rhma
T

n
t
a
w
i
Thank You
In summery using random crossover methods randomly is worst compared with traditional Genetic Algorithm that use specific crossover method.
Al-
Encoding
X
Generation
U
f(x)= 3x^2+4
Fitness function
16
19
Parents
Encoding
010000
010011
Crossover
Genetic Algorithms
Full transcript