feat: PopulationManager — generation loop + parent sampling (#155)#420
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feat: PopulationManager — generation loop + parent sampling (#155)#420
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… orchestration (#155) Adds PopulationManager, EvolverConfig, and EvolverResult to evolver.zig: - EvolverConfig: problem_statement, fitness_cmd, max_generations, population_size, crossover_every_n, timeout, early_stop_threshold - PopulationManager: maintains sorted organism population with addOrganism, sortByFitness, best, shouldStopEarly, useCrossover, selectParents (fitness-proportional), nextId, and run() orchestrator - EvolverResult: best_organism, generations_run, total_evaluated, converged Also adds Organism and FailureCase types (prerequisite from #149/#153). 10 new tests covering: best selection, empty population, early stopping, crossover scheduling, disabled crossover, fitness-proportional parent selection bias, ID generation, run with early stop, run without convergence, and EvolverConfig defaults. All 28 evolver tests pass. Made-with: Cursor
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Summary
EvolverConfig: problem_statement, fitness_cmd, max_generations (10), population_size (4), crossover_every_n (3), timeout, early_stop_threshold (1.0)PopulationManager: Orchestrates the inner evolutionary loop:addOrganism()/sortByFitness()/best()— population managementshouldStopEarly()— checks if any organism meets thresholduseCrossover(gen)— determines whether to use CrossoverMutatorselectParents(count, rng)— fitness-proportional samplingnextId()— monotonic organism ID generatorrun()— generation loop with early stoppingEvolverResult: best_organism, generations_run, total_evaluated, convergedOrganismandFailureCasetypes (prerequisites from evolver.zig: core types — Organism, Population, LearningLog, EvaluationResult #149/evolver.zig: Mutator — LLM-driven mutation with failure cases + learning log #153)Test plan
zig test src/evolver.zig— 28/28 tests passCloses #155
Made with Cursor