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Genotype

As explained in Optimization Algorithms: AI techniques for design, planning, and control problems

A genotype is the complete genetic constitution of an organism, including its combination of alleles.

A genotype is an organism’s complete genetic constitution: the combination of genes and alleles inherited from its parents. It provides a genetic blueprint for potential traits, while the phenotype consists of observable characteristics shaped by genotype–environment interaction. section 7.2.1

A genotype is built from several related biological units:

  • Chromosomes contain DNA, genes occupy positions called loci, and alleles are variant forms of genes. section 7.2.1
  • A gene combination can encode multiple traits, such as appetite, movement, feet, and skin type. section 7.2.1
  • In genetic algorithms, a genotype can be represented computationally as a chromosome, such as a list of binary digits that decodes to a candidate value. section 7.4

From traits to a binary candidate

A toy organism might have appetite H, movement R, feet HV, and skin F as allele values. In a ticket-pricing genetic algorithm, an eight-bit genotype such as [1, 1, 1, 0, 1, 0, 0, 0] decodes to a price candidate, which a fitness function evaluates by profit. section 7.2.1 section 7.4

Figure 7.4 Genotype, phenotype, and taxonomic classification

Use the figure to compare genotype, phenotype, and taxonomic classification. section 7.2.1

How Optimization Algorithms: AI techniques for design, planning, and control problems covers it

How deep it goes
Explains genes, alleles, chromosomes, loci, inheritance, phenotype, and binary encoding, but does not develop molecular mechanisms.
Examples
Uses organism trait combinations and binary ticket-price chromosomes evaluated against a profit function.
What it assumes
Introduces chromosomes, genes, alleles, loci, and phenotype before applying genotype to genetic algorithms.
What you can do after
Apply genotype encoding to represent and evaluate candidate solutions in a genetic algorithm.
How it connects
Connects genotype with chromosomes, genes, alleles, loci, phenotype, environment, genetic algorithms, chromosomes, and fitness functions.

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This explainer was generated by Manning's knowledge graph from the text of Optimization Algorithms: AI techniques for design, planning, and control problems. The section links point to the parts of the book it draws on.