Book details
Essentials of Metaheuristics
Categories Algorithms , Metaheuristics
These undergraduate lecture notes introduce metaheuristic methods for optimization problems where exact algorithms are impractical. They cover genetic algorithms, evolutionary strategies, hill climbing, simulated annealing, ant colony optimization, and particle swarm optimization, with attention to representations and algorithm design.
