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refactor: decouple SteadyStateGA from StandardGeneticAlgorithm #1488

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Merged
arcuri82 merged 2 commits into from
Mar 27, 2026
Merged

refactor: decouple SteadyStateGA from StandardGeneticAlgorithm #1488

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4d1a085
refactor: decouple SteadyStateGA from StandardGeneticAlgorithm
francastagna Mar 24, 2026
5924df2
Merge branch 'master' into refactor/steady-state-decouple-from-standa…
francastagna Mar 25, 2026
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2 changes: 1 addition & 1 deletion core/src/main/kotlin/org/evomaster/core/search/algorithms/StandardGeneticAlgorithm.kt
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Expand Up @@ -24,7 +24,7 @@ import org.evomaster.core.search.algorithms.wts.WtsEvalIndividual
* - This implementation assumes that crossover and mutation are implemented by the superclass.
* - The actual fitness evaluation is managed externally via the [WtsEvalIndividual] wrapper.
*/
open class StandardGeneticAlgorithm<T> : AbstractGeneticAlgorithm<T>() where T : Individual {
class StandardGeneticAlgorithm<T> : AbstractGeneticAlgorithm<T>() where T : Individual {

override fun getType(): EMConfig.Algorithm {
return EMConfig.Algorithm.StandardGA
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4 changes: 2 additions & 2 deletions core/src/main/kotlin/org/evomaster/core/search/algorithms/SteadyStateGeneticAlgorithm.kt
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Expand Up @@ -13,10 +13,10 @@ import kotlin.math.max
* of individuals at a time:
* Only replaces selected parents with offspring if the offspring are better
*
* This class inherits from StandardGeneticAlgorithm to reuse shared components,
* This class inherits from AbstractGeneticAlgorithm to reuse shared components,
* but overrides search behavior to follow steady-state principles.
*/
class SteadyStateGeneticAlgorithm<T> : StandardGeneticAlgorithm<T>() where T : Individual {
class SteadyStateGeneticAlgorithm<T> : AbstractGeneticAlgorithm<T>() where T : Individual {

override fun getType(): EMConfig.Algorithm {
return EMConfig.Algorithm.SteadyStateGA
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