A Collection of User-Friendly Heuristic Optimization Algorithms

A comprehensive set of practical and user-friendly heuristic optimization algorithms, including non-adaptive algorithms, simulated annealing-based population algorithms, basic genetic algorithms, differential evolution algorithms, and particle swarm optimization. Additionally features the Sacred Algorithm which integrates all these optimization operators with occasional algorithm swapping between different populations.