hill-climbing method
A heuristic optimization algorithm used in computing and AI that iteratively moves toward better solutions, analogous to climbing a hill.
The hill-climbing method tends to get stuck in local optima.
Let's try applying the hill-climbing method to this problem.
Genetic algorithm, a population-based optimization method inspired by natural selection, whereas hill-climbing is a single-solution iterative improvement method.
Compound of 山登り (やまのぼり, 'mountain climbing') + 法 (ほう, 'method'), from the analogy of climbing a hill to find a peak (optimal solution).