LibOPT-old is an optimization library developed in C language for the development of meta-heuristic-based applications. Currently, we have the following techniques implemented and tested:
- Particle Swarm Optimization [1]
- Particle Swarm Optimization with Adaptive Inertia Weight [2]
- Bat Algorithm [3]
- Harmony Search []
- Improved Harmony Search []
- Global-best Harmony Search []
- Self-Adaptive Global-best Harmony Search []
- Parameter-Setting-Free Harmony Search []
- Novel Global Harmony Search []
- Firefly Algorithm []
Additionally, the library also implements the following procedures:
- Restricted Boltzmann Machines fine-tuning parameters with Contrastive Divergence, Persistent Contrastive Divergence and Fast Persistent Contrastive Digervence []
- Deep Belief Networks fine-tuning parameters with Contrastive Divergence, Persistent Contrastive Divergence and Fast Persistent Contrastive Digervence []
- Deep Boltzmann Machines fine-tuning parameters with Contrastive Divergence []
- Feature selection []
References
[1] J. Kennedy, R. C. Eberhart and Y. Shi. Swarm Intelligence, Morgan Kaufmann Series in Artificial Intelligence, 2001.
[2] A. Nickabadi, M. M. Ebadzadeh and R. Safabakhsh. A novel particle swarm optimization algorithm with adaptive inertia weight, Applied Soft Computing, 11(4), pp.3658 - 3670, 2011.
[3] X.-S. Yang and A. H. Gandomi. Bat algorithm: a novel approach for global engineering optimization, Engineering Computations, 5(29), pp.464 - 483, 2012.