Reproduction
Reproduction is an evolutionary algorithm operation that generates offspring or copies from selected parent solutions through inheritance and variation.
Grokking AI Algorithms, Second Edition
Reproduction is an evolutionary algorithm operation that generates new candidate solutions from selected parent solutions.
- How it is used
- Uses selected parent solutions to generate varied offspring within evolutionary search.
- How deep it goes
- Defines reproduction and connects it to crossover and mutation, but does not detail implementation mechanics.
- Examples
- Uses a biological offspring analogy and a figure showing reproduction followed by mutation.
- What you can do after
- Understand how evolutionary algorithms create new candidate solutions from parent genetic material.
Read how Grokking AI Algorithms, Second Edition explains reproduction →
Evolutionary Deep Learning: Genetic algorithms and neural networks
The biological or computational process by which parent individuals produce offspring.
- How it is used
- Uses reproduction to evolve trait values toward higher fitness in a simplified evolutionary life simulation.
- How deep it goes
- Explains selection, trait averaging, mutation, and generation flow, while treating reproduction variants as unexplored alternatives.
- Examples
- Demonstrates reproduction with cells carrying traits a, b, and c in a Python-style evolution simulation.
- What you can do after
- Build an evolutionary generation cycle that selects parents, combines traits, mutates children, and reevaluates fitness.
Read how Evolutionary Deep Learning: Genetic algorithms and neural networks explains reproduction →
Related concepts
- offspringproduces · Offspring are new candidate individuals or solutions produced from one or more parent candidates through reproduction or variation.
- evolutionary computationused by · Evolutionary computation is a family of search and optimization methods that iteratively improve candidate solutions through variation and selection inspired by biological evolution.
- crossoverused by · Crossover is an evolutionary recombination technique that combines material from parent candidate solutions to produce one or more offspring.
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.

