Ant Lion Optimization Algorithm: A Nature-Inspired Approach for Single-Objective Optimization

The Ant Lion Optimization (ALO) algorithm mimics the natural hunting mechanism of antlions, consisting of five key steps: random walk of ants, trap construction, entrapment of prey, prey capture, and trap rebuilding. This algorithm is primarily designed for solving single-objective optimization problems. Key implementation aspects include stochastic movement modeling, fitness-based selection mechanisms, and adaptive boundary control. Credit and copyright belong to the original authors.