Merge pull request #1488 from WebFuzzing/refactor/steady-state-decouple-from-standard-ga-v2

refactor: decouple SteadyStateGA from StandardGeneticAlgorithm

Author: arcuri82

core/src/main/kotlin/org/evomaster/core/search/algorithms/StandardGeneticAlgorithm.kt

@@ -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

core/src/main/kotlin/org/evomaster/core/search/algorithms/SteadyStateGeneticAlgorithm.kt

@@ -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