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Influence of selective pressure on quality of solutions and speed of evolutionary MasterMind
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Carlos Cotta
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Influence of selective pressure on quality of solutions and speed of evolutionary MasterMind
1.
Influence of selective
pressure on quality of solutions and speed of evolutionary MasterMind Merelo, Mora, Rico, Cotta UGR, UMA (Spain) Combination played Consistent! Always play consistent! Not consistent! Optimization algorithm based on distance to consistency (for all combinations played) D=2 Not all consistent combinations are the same: use partitions Most parts. Score = 5 Best worst case. Score = -3 Entropy. Score = 1.67 0b-0w 0b-1w 0b-2w 0b-3w 1b-0w 1b-1w 1b-2w 2b-0w Testing population and tournament size AAA 2 0 0 0 3 0 0 3 1.31 BBB 4 0 0 0 4 0 0 0 0.96 Population ↑ → Selection pressure ↓ CCC 4 0 0 0 4 0 0 0 0.96 ABC 0 0 0 1 4 1 1 1 1.58 CBA 0 1 2 0 3 0 2 0 1.52 Tournament size ↑ → Selection pressure ↑ AAB 1 0 2 0 1 1 0 3 1.67 AAC 1 0 2 0 1 0 0 4 1.42 AAD 2 2 0 0 1 0 0 3 1.52 BCA 0 1 2 1 3 0 1 0 1.67 Conclusions: Conclusions Best to have big population (higher diversity) + high selective pressure (high exploitation) Rule of thumb: thumb Population ~ Sqrt(K^L) ANYSELF DNEMESIS TIN2011-28627-C04-01/02 TIC-6083 P08-TIC-03903 (Junta de Andalucía) (Spanish MICINN) (Junta de Andalucía)
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