Tournament selection
Tournament selection is an evolutionary technique that randomly samples groups of candidate solutions and selects the highest-fitness candidate from each group.
Evolutionary Deep Learning: Genetic algorithms and neural networks
Tournament selection is a selection method that compares randomly chosen groups of individuals and selects the highest-fitness competitor from each group.
- How it is used
- Uses repeated fitness competitions to select genetic-algorithm parents while retaining more diversity than immediate best selection.
- How deep it goes
- Explains random grouping, winner advancement, repetitions, and tournament size, then demonstrates DEAP configuration without deriving selection theory.
- Examples
- Demonstrates OneMax with DEAP's selTournament, tournsize=3, and comparisons of selection operators using diversity figures.
- What you can do after
- Operate/configure tournament selection in DEAP and inspect its effects on optimization and population diversity.
Advanced Algorithms and Data Structures
Tournament selection is a genetic-algorithm technique that randomly samples individuals and selects the one with the best fitness from the sample.
- How it is used
- Selects genetic-algorithm individuals for mating through repeated random contests.
- How deep it goes
- Defines the sampling process and gives pseudocode, but does not develop a broader parameter or complexity analysis.
- Examples
- Uses a 0-1 knapsack population, a tournament-selection figure, and executable-style pseudocode.
- What you can do after
- Apply tournament selection by implementing random sampling, fitness comparison, and best-candidate retention.
Read how Advanced Algorithms and Data Structures explains tournament selection →
Classic Computer Science Problems in Swift: Essential techniques for practicing programmers
A genetic algorithm selection technique that randomly challenges several chromosomes and selects the one with the best fitness.
- How it is used
- Selects chromosomes for reproduction within a configurable genetic algorithm.
- How deep it goes
- Defines and implements random sampling, fitness comparison, winner return, and parent reuse, then proposes probabilistic variants.
- Examples
- Uses a four-participant tournament and a Swift pickTournament function that compares cached population fitnesses.
- What you can do after
- Apply tournament selection by configuring participant count and implementing repeated random fitness comparisons.
Optimization Algorithms: AI techniques for design, planning, and control problems
Tournament selection is a survivor-selection method that randomly groups individuals and retains the best individual from each group.
- How it is used
- Selects reproduction candidates and survivors within a genetic algorithm.
- How deep it goes
- Explains grouping, fitness comparison, repetition, and winner use, but does not develop implementation code or parameter heuristics.
- Examples
- Uses ticket-pricing candidates and a tournament-selection figure to illustrate ranking, competition, and winner advancement.
- What you can do after
- Apply tournament selection to choose genetic-algorithm reproduction candidates or survivors.
Related concepts
- selectionkind of · Selection is an evolutionary optimization operation that chooses candidate solutions for continuation or reproduction according to their fitness or quality.
- roulette-wheel selectionalternative to · Roulette-wheel selection is an evolutionary selection technique that assigns candidates probabilities proportional to their fitness, typically giving lower-fitness candidates nonzero probabilities.
- fitnessuses · Fitness is a numerical score indicating how well a candidate solution performs relative to an optimization objective.
- diversitycontrasts with · Diversity is the degree of variation among members of a set or population in relevant characteristics, perspectives, behaviors, or outcomes.
- populationuses · A population is a defined group or complete set of people, units, observations, or candidate solutions considered together in a particular context.
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