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Genotype

A genotype is the genetic constitution of an organism or the encoded representation of a potential solution in an evolutionary computation system.

How 2 Manning books explain it

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.

How it is used
Defines genetic makeup biologically and supplies the candidate representation manipulated by genetic algorithms.
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 you can do after
Apply genotype encoding to represent and evaluate candidate solutions in a genetic algorithm.

Read how Optimization Algorithms: AI techniques for design, planning, and control problems explains genotype →

Advanced Algorithms and Data Structures

A genotype is the chromosome-based encoding of an organism in a genetic or evolutionary model.

How it is used
Uses chromosome encodings to represent candidate solutions in genetic-algorithm optimization.
How deep it goes
Explains binary encoding, genotype–phenotype mapping, constraints, and fitness effects, while deferring operator details.
Examples
Illustrates genotype through binary knapsack strings and simulated ducks whose visible traits vary with chromosome changes.
What you can do after
Apply genotype encodings to represent candidate solutions and reason about their resulting phenotypes and fitness.

Read how Advanced Algorithms and Data Structures explains genotype →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.