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200404_csa_3c_6i_3ts.txt
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Initializing a random population. Size: 3
Starting Crow Search Algorithm...
Running iteration #1...
[*] Evaluating individual 0 on {'S_1': '001', 'S_2': '0011010010'} .
[*] Fitness of Crow 0 on location {'S_1': '001', 'S_2': '0011010010'} was 0.00000000 .
[*] Best known performance of Crow 0 is 0.00000000 on location {'S_1': '001', 'S_2': '0011010010'}
[*] Performance of Crow 0 is 0.99704996 on location {'S_1': '001', 'S_2': '0011010010'}
[*] Updating best known performance for Crow 0 to 0.99704996 on location {'S_1': '001', 'S_2': '0011010010'}
[*] Evaluating individual 1 on {'S_1': '010', 'S_2': '0001001111'} .
[*] Fitness of Crow 1 on location {'S_1': '010', 'S_2': '0001001111'} was 0.00000000 .
[*] Best known performance of Crow 1 is 0.00000000 on location {'S_1': '010', 'S_2': '0001001111'}
[*] Performance of Crow 1 is 0.99737005 on location {'S_1': '010', 'S_2': '0001001111'}
[*] Updating best known performance for Crow 1 to 0.99737005 on location {'S_1': '010', 'S_2': '0001001111'}
[*] Evaluating individual 2 on {'S_1': '100', 'S_2': '1011001111'} .
[*] Fitness of Crow 2 on location {'S_1': '100', 'S_2': '1011001111'} was 0.00000000 .
[*] Best known performance of Crow 2 is 0.00000000 on location {'S_1': '100', 'S_2': '1011001111'}
[*] Performance of Crow 2 is 0.99751998 on location {'S_1': '100', 'S_2': '1011001111'}
[*] Updating best known performance for Crow 2 to 0.99751998 on location {'S_1': '100', 'S_2': '1011001111'}
Crow with best location is:
{'S_1': '100', 'S_2': '1011001111'}
Fitness value is: 0.9975
[*] The Crow 0 on location {'S_1': '001', 'S_2': '0011010010'} is following the Crow 2 on location {'S_1': '100', 'S_2': '1011001111'}
[*] The Crow 2 is aware of being followed by the Crow 0
[*] So the Crow 2 leads the Crow 0 in direction of a random location {'S_1': '100', 'S_2': '1011001111'}
[*] The Crow 0 reaches a new location {'S_1': '000', 'S_2': '0010011001'} .
[*] The Crow 1 on location {'S_1': '010', 'S_2': '0001001111'} is following the Crow 2 on location {'S_1': '100', 'S_2': '1011001111'}
[*] The Crow 2 is aware of being followed by the Crow 1
[*] So the Crow 2 leads the Crow 1 in direction of a random location {'S_1': '100', 'S_2': '1011001111'}
[*] The Crow 1 reaches a new location {'S_1': '010', 'S_2': '0011110111'} .
[*] The Crow 2 on location {'S_1': '100', 'S_2': '1011001111'} is following the Crow 2 on location {'S_1': '100', 'S_2': '1011001111'}
[*] The Crow 2 is aware of being followed by the Crow 2
[*] So the Crow 2 leads the Crow 2 in direction of a random location {'S_1': '100', 'S_2': '1011001111'}
[*] The Crow 2 reaches a new location {'S_1': '111', 'S_2': '1111111011'} .
Running iteration #2...
[*] Evaluating individual 0 on {'S_1': '000', 'S_2': '0010011001'} .
[*] Fitness of Crow 0 on location {'S_1': '001', 'S_2': '0011010010'} was 0.99704996 .
[*] Best known performance of Crow 0 is 0.99704996 on location {'S_1': '001', 'S_2': '0011010010'}
[*] Performance of Crow 0 is 0.99721994 on location {'S_1': '000', 'S_2': '0010011001'}
[*] Updating best known performance for Crow 0 to 0.99721994 on location {'S_1': '000', 'S_2': '0010011001'}
[*] Evaluating individual 1 on {'S_1': '010', 'S_2': '0011110111'} .
[*] Fitness of Crow 1 on location {'S_1': '010', 'S_2': '0001001111'} was 0.99737005 .
[*] Best known performance of Crow 1 is 0.99737005 on location {'S_1': '010', 'S_2': '0001001111'}
[*] Performance of Crow 1 is 0.99722994 on location {'S_1': '010', 'S_2': '0011110111'}
[*] Best known performance for Crow 1 remains the same 0.99737005 on location {'S_1': '010', 'S_2': '0001001111'}
[*] Evaluating individual 2 on {'S_1': '111', 'S_2': '1111111011'} .
[*] Fitness of Crow 2 on location {'S_1': '100', 'S_2': '1011001111'} was 0.99751998 .
[*] Best known performance of Crow 2 is 0.99751998 on location {'S_1': '100', 'S_2': '1011001111'}
[*] Performance of Crow 2 is 0.99740000 on location {'S_1': '111', 'S_2': '1111111011'}
[*] Best known performance for Crow 2 remains the same 0.99751998 on location {'S_1': '100', 'S_2': '1011001111'}
Crow with best location is:
{'S_1': '111', 'S_2': '1111111011'}
Fitness value is: 0.9974
[*] The Crow 0 on location {'S_1': '000', 'S_2': '0010011001'} is following the Crow 2 on location {'S_1': '111', 'S_2': '1111111011'}
[*] The Crow 2 is aware of being followed by the Crow 0
[*] So the Crow 2 leads the Crow 0 in direction of a random location {'S_1': '100', 'S_2': '1011001111'}
[*] The Crow 0 reaches a new location {'S_1': '100', 'S_2': '0000011000'} .
[*] The Crow 1 on location {'S_1': '010', 'S_2': '0011110111'} is following the Crow 2 on location {'S_1': '111', 'S_2': '1111111011'}
[*] The Crow 2 is aware of being followed by the Crow 1
[*] So the Crow 2 leads the Crow 1 in direction of a random location {'S_1': '100', 'S_2': '1011001111'}
[*] The Crow 1 reaches a new location {'S_1': '100', 'S_2': '0011001111'} .
[*] The Crow 2 on location {'S_1': '111', 'S_2': '1111111011'} is following the Crow 2 on location {'S_1': '111', 'S_2': '1111111011'}
[*] The Crow 2 is aware of being followed by the Crow 2
[*] So the Crow 2 leads the Crow 2 in direction of a random location {'S_1': '100', 'S_2': '1011001111'}
[*] The Crow 2 reaches a new location {'S_1': '101', 'S_2': '0101010100'} .
Running iteration #3...
[*] Evaluating individual 0 on {'S_1': '100', 'S_2': '0000011000'} .
[*] Fitness of Crow 0 on location {'S_1': '000', 'S_2': '0010011001'} was 0.99721994 .
[*] Best known performance of Crow 0 is 0.99721994 on location {'S_1': '000', 'S_2': '0010011001'}
[*] Performance of Crow 0 is 0.99719001 on location {'S_1': '100', 'S_2': '0000011000'}
[*] Best known performance for Crow 0 remains the same 0.99721994 on location {'S_1': '000', 'S_2': '0010011001'}
[*] Evaluating individual 1 on {'S_1': '100', 'S_2': '0011001111'} .
[*] Fitness of Crow 1 on location {'S_1': '010', 'S_2': '0011110111'} was 0.99722994 .
[*] Best known performance of Crow 1 is 0.99737005 on location {'S_1': '010', 'S_2': '0001001111'}
[*] Performance of Crow 1 is 0.99707994 on location {'S_1': '100', 'S_2': '0011001111'}
[*] Best known performance for Crow 1 remains the same 0.99737005 on location {'S_1': '010', 'S_2': '0001001111'}
[*] Evaluating individual 2 on {'S_1': '101', 'S_2': '0101010100'} .
[*] Fitness of Crow 2 on location {'S_1': '111', 'S_2': '1111111011'} was 0.99740000 .
[*] Best known performance of Crow 2 is 0.99751998 on location {'S_1': '100', 'S_2': '1011001111'}
[*] Performance of Crow 2 is 0.99695000 on location {'S_1': '101', 'S_2': '0101010100'}
[*] Best known performance for Crow 2 remains the same 0.99751998 on location {'S_1': '100', 'S_2': '1011001111'}
Crow with best location is:
{'S_1': '100', 'S_2': '0000011000'}
Fitness value is: 0.9972
[*] The Crow 0 on location {'S_1': '100', 'S_2': '0000011000'} is following the Crow 0 on location {'S_1': '100', 'S_2': '0000011000'}
[*] The Crow 0 is aware of being followed by the Crow 0
[*] So the Crow 0 leads the Crow 0 in direction of a random location {'S_1': '000', 'S_2': '0010011001'}
[*] The Crow 0 reaches a new location {'S_1': '010', 'S_2': '1001110111'} .
[*] The Crow 1 on location {'S_1': '100', 'S_2': '0011001111'} is following the Crow 0 on location {'S_1': '010', 'S_2': '1001110111'}
[*] The Crow 0 is aware of being followed by the Crow 1
[*] So the Crow 0 leads the Crow 1 in direction of a random location {'S_1': '000', 'S_2': '0010011001'}
[*] The Crow 1 reaches a new location {'S_1': '010', 'S_2': '1100101111'} .
[*] The Crow 2 on location {'S_1': '101', 'S_2': '0101010100'} is following the Crow 0 on location {'S_1': '010', 'S_2': '1001110111'}
[*] The Crow 0 is aware of being followed by the Crow 2
[*] So the Crow 0 leads the Crow 2 in direction of a random location {'S_1': '000', 'S_2': '0010011001'}
[*] The Crow 2 reaches a new location {'S_1': '101', 'S_2': '1000001110'} .
Running iteration #4...
[*] Evaluating individual 0 on {'S_1': '010', 'S_2': '1001110111'} .
[*] Fitness of Crow 0 on location {'S_1': '100', 'S_2': '0000011000'} was 0.99719001 .
[*] Best known performance of Crow 0 is 0.99721994 on location {'S_1': '000', 'S_2': '0010011001'}
[*] Performance of Crow 0 is 0.99721992 on location {'S_1': '010', 'S_2': '1001110111'}
[*] Best known performance for Crow 0 remains the same 0.99721994 on location {'S_1': '000', 'S_2': '0010011001'}
[*] Evaluating individual 1 on {'S_1': '010', 'S_2': '1100101111'} .
[*] Fitness of Crow 1 on location {'S_1': '100', 'S_2': '0011001111'} was 0.99707994 .
[*] Best known performance of Crow 1 is 0.99737005 on location {'S_1': '010', 'S_2': '0001001111'}
[*] Performance of Crow 1 is 0.99713001 on location {'S_1': '010', 'S_2': '1100101111'}
[*] Best known performance for Crow 1 remains the same 0.99737005 on location {'S_1': '010', 'S_2': '0001001111'}
[*] Evaluating individual 2 on {'S_1': '101', 'S_2': '1000001110'} .
[*] Fitness of Crow 2 on location {'S_1': '101', 'S_2': '0101010100'} was 0.99695000 .
[*] Best known performance of Crow 2 is 0.99751998 on location {'S_1': '100', 'S_2': '1011001111'}
[*] Performance of Crow 2 is 0.99707001 on location {'S_1': '101', 'S_2': '1000001110'}
[*] Best known performance for Crow 2 remains the same 0.99751998 on location {'S_1': '100', 'S_2': '1011001111'}
Crow with best location is:
{'S_1': '010', 'S_2': '1001110111'}
Fitness value is: 0.9972
[*] The Crow 0 on location {'S_1': '010', 'S_2': '1001110111'} is following the Crow 0 on location {'S_1': '010', 'S_2': '1001110111'}
[*] The Crow 0 is aware of being followed by the Crow 0
[*] So the Crow 0 leads the Crow 0 in direction of a random location {'S_1': '000', 'S_2': '0010011001'}
[*] The Crow 0 reaches a new location {'S_1': '010', 'S_2': '1010111101'} .
[*] The Crow 1 on location {'S_1': '010', 'S_2': '1100101111'} is following the Crow 0 on location {'S_1': '010', 'S_2': '1010111101'}
[*] The Crow 0 is aware of being followed by the Crow 1
[*] So the Crow 0 leads the Crow 1 in direction of a random location {'S_1': '000', 'S_2': '0010011001'}
[*] The Crow 1 reaches a new location {'S_1': '100', 'S_2': '1000010110'} .
[*] The Crow 2 on location {'S_1': '101', 'S_2': '1000001110'} is following the Crow 0 on location {'S_1': '010', 'S_2': '1010111101'}
[*] The Crow 0 is aware of being followed by the Crow 2
[*] So the Crow 0 leads the Crow 2 in direction of a random location {'S_1': '000', 'S_2': '0010011001'}
[*] The Crow 2 reaches a new location {'S_1': '100', 'S_2': '0010000110'} .
Running iteration #5...
[*] Evaluating individual 0 on {'S_1': '010', 'S_2': '1010111101'} .
[*] Fitness of Crow 0 on location {'S_1': '010', 'S_2': '1001110111'} was 0.99721992 .
[*] Best known performance of Crow 0 is 0.99721994 on location {'S_1': '000', 'S_2': '0010011001'}
[*] Performance of Crow 0 is 0.99699997 on location {'S_1': '010', 'S_2': '1010111101'}
[*] Best known performance for Crow 0 remains the same 0.99721994 on location {'S_1': '000', 'S_2': '0010011001'}
[*] Evaluating individual 1 on {'S_1': '100', 'S_2': '1000010110'} .
[*] Fitness of Crow 1 on location {'S_1': '010', 'S_2': '1100101111'} was 0.99713001 .
[*] Best known performance of Crow 1 is 0.99737005 on location {'S_1': '010', 'S_2': '0001001111'}
[*] Performance of Crow 1 is 0.99753997 on location {'S_1': '100', 'S_2': '1000010110'}
[*] Updating best known performance for Crow 1 to 0.99753997 on location {'S_1': '100', 'S_2': '1000010110'}
[*] Evaluating individual 2 on {'S_1': '100', 'S_2': '0010000110'} .
[*] Fitness of Crow 2 on location {'S_1': '101', 'S_2': '1000001110'} was 0.99707001 .
[*] Best known performance of Crow 2 is 0.99751998 on location {'S_1': '100', 'S_2': '1011001111'}
[*] Performance of Crow 2 is 0.99714000 on location {'S_1': '100', 'S_2': '0010000110'}
[*] Best known performance for Crow 2 remains the same 0.99751998 on location {'S_1': '100', 'S_2': '1011001111'}
Crow with best location is:
{'S_1': '100', 'S_2': '1000010110'}
Fitness value is: 0.9975
[*] The Crow 0 on location {'S_1': '010', 'S_2': '1010111101'} is following the Crow 1 on location {'S_1': '100', 'S_2': '1000010110'}
[*] The Crow 1 is aware of being followed by the Crow 0
[*] So the Crow 1 leads the Crow 0 in direction of a random location {'S_1': '100', 'S_2': '1000010110'}
[*] The Crow 0 reaches a new location {'S_1': '100', 'S_2': '1011011000'} .
[*] The Crow 1 on location {'S_1': '100', 'S_2': '1000010110'} is following the Crow 1 on location {'S_1': '100', 'S_2': '1000010110'}
[*] The Crow 1 is aware of being followed by the Crow 1
[*] So the Crow 1 leads the Crow 1 in direction of a random location {'S_1': '100', 'S_2': '1000010110'}
[*] The Crow 1 reaches a new location {'S_1': '110', 'S_2': '0001000111'} .
[*] The Crow 2 on location {'S_1': '100', 'S_2': '0010000110'} is following the Crow 1 on location {'S_1': '110', 'S_2': '0001000111'}
[*] The Crow 1 is not aware of being followed by the Crow 2
[*] So the Crow 1 leads the Crow 2 in direction of it's best known location {'S_1': '100', 'S_2': '1000010110'}
[*] The flight length of Crow 2 is 3
[*] The Crow 2 reaches a new location {'S_1': '100', 'S_2': '0110000110'} .
Running iteration #6...
[*] Evaluating individual 0 on {'S_1': '100', 'S_2': '1011011000'} .
[*] Fitness of Crow 0 on location {'S_1': '010', 'S_2': '1010111101'} was 0.99699997 .
[*] Best known performance of Crow 0 is 0.99721994 on location {'S_1': '000', 'S_2': '0010011001'}
[*] Performance of Crow 0 is 0.99717999 on location {'S_1': '100', 'S_2': '1011011000'}
[*] Best known performance for Crow 0 remains the same 0.99721994 on location {'S_1': '000', 'S_2': '0010011001'}
[*] Evaluating individual 1 on {'S_1': '110', 'S_2': '0001000111'} .
[*] Fitness of Crow 1 on location {'S_1': '100', 'S_2': '1000010110'} was 0.99753997 .
[*] Best known performance of Crow 1 is 0.99753997 on location {'S_1': '100', 'S_2': '1000010110'}
[*] Performance of Crow 1 is 0.99734999 on location {'S_1': '110', 'S_2': '0001000111'}
[*] Best known performance for Crow 1 remains the same 0.99753997 on location {'S_1': '100', 'S_2': '1000010110'}
[*] Evaluating individual 2 on {'S_1': '100', 'S_2': '0110000110'} .
[*] Fitness of Crow 2 on location {'S_1': '100', 'S_2': '0110000110'} was 0.99714000 .
[*] Best known performance of Crow 2 is 0.99751998 on location {'S_1': '100', 'S_2': '1011001111'}
[*] Performance of Crow 2 is 0.99728998 on location {'S_1': '100', 'S_2': '0110000110'}
[*] Best known performance for Crow 2 remains the same 0.99751998 on location {'S_1': '100', 'S_2': '1011001111'}
Crow with best location is:
{'S_1': '110', 'S_2': '0001000111'}
Fitness value is: 0.9973
[*] The Crow 0 on location {'S_1': '100', 'S_2': '1011011000'} is following the Crow 1 on location {'S_1': '110', 'S_2': '0001000111'}
[*] The Crow 1 is aware of being followed by the Crow 0
[*] So the Crow 1 leads the Crow 0 in direction of a random location {'S_1': '100', 'S_2': '1000010110'}
[*] The Crow 0 reaches a new location {'S_1': '100', 'S_2': '1111001111'} .
[*] The Crow 1 on location {'S_1': '110', 'S_2': '0001000111'} is following the Crow 1 on location {'S_1': '110', 'S_2': '0001000111'}
[*] The Crow 1 is aware of being followed by the Crow 1
[*] So the Crow 1 leads the Crow 1 in direction of a random location {'S_1': '100', 'S_2': '1000010110'}
[*] The Crow 1 reaches a new location {'S_1': '000', 'S_2': '0101001110'} .
[*] The Crow 2 on location {'S_1': '100', 'S_2': '0110000110'} is following the Crow 1 on location {'S_1': '000', 'S_2': '0101001110'}
[*] The Crow 1 is aware of being followed by the Crow 2
[*] So the Crow 1 leads the Crow 2 in direction of a random location {'S_1': '100', 'S_2': '1000010110'}
[*] The Crow 2 reaches a new location {'S_1': '011', 'S_2': '1010101101'} .