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Books > Computing & IT > Applications of computing > Artificial intelligence
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The Design of Innovation - Lessons from and for Competent Genetic Algorithms (Paperback, Softcover reprint of the original 1st ed. 2002)
Loot Price: R1,574
Discovery Miles 15 740
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The Design of Innovation - Lessons from and for Competent Genetic Algorithms (Paperback, Softcover reprint of the original 1st ed. 2002)
Series: Genetic Algorithms and Evolutionary Computation, 7
Expected to ship within 10 - 15 working days
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Donate to Against Period Poverty
Total price: R1,594
Discovery Miles: 15 940
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7 69 6 A DESIGN APPROACH TO PROBLEM DIFFICULTY 71 1 Design and
Problem Difficulty 71 2 Three Misconceptions 72 3 Hard Problems
Exist 76 4 The 3-Way Decomposition and Its Core 77 The Core of
Intra-BB Difficulty: Deception 5 77 6 The Core of Inter-BB
Difficulty: Scaling 83 7 The Core of Extra-BB Difficulty: Noise 88
Crosstalk: All Roads Lead to the Core 8 89 9 From Multimodality to
Hierarchy 93 10 Summary 100 7 ENSURING BUILDING BLOCK SUPPLY 101 1
Past Work 101 2 Facetwise Supply Model I: One BB 102 Facetwise
Supply Model II: Partition Success 103 3 4 Population Size for BB
Supply 104 Summary 5 106 8 ENSURING BUILDING BLOCK GROWTH 109 1 The
Schema Theorem: BB Growth Bound 109 2 Schema Growth Somewhat More
Generally 111 3 Designing for BB Market Share Growth 112 4
Selection Press ure for Early Success 114 5 Designing for Late in
the Day 116 The Schema Theorem Works 6 118 A Demonstration of
Selection Stall 7 119 Summary 122 8 9 MAKING TIME FOR BUILDING
BLOCKS 125 1 Analysis of Selection Alone: Takeover Time 126 2
Drift: When Selection Chooses for No Reason 129 3 Convergence Times
with Multiple BBs 132 4 A Time-Scales Derivation of Critical Locus
142 5 A Little Model of Noise-Induced Run Elongation 143 6 From
Alleles to Building Blocks 147 7 Summary 148 10 DECIDING WELL 151 1
Why is Decision Making a Problem? 151
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