Nuevos algoritmos propuestos en el proyecto HORSOST
SAMO: Simulated Annealing with a neighborhood move based on the Mutation Operator from the genetic algorithms (Martí et al, 2013)
MA-VDNS: Memetic Algorithm with Variable-Depth Neighborhood Search (Martí et al, 2014; Martí et al, 2015)
SAGSO: Simulated Annealing with Glowworm Swarm Optimization (García-Segura et al., 2014; Yepes et al., 2014)
ILS-GB: Iterated Local Search algorithm based on a Gray code Global Best-descent (Carbonell et al., 2012)
MOSAMO: Multi-Objective Simulated Annealing algorithm with a neighborhood move based on the Mutation Operator the genetic algorithms (Martínez-Martín et al., 2012)
AGA: Adaptive Genetic Algorithm (Ponz-Tienda et al., 2013)
VND-TA: Variable Neighborhood Descent with Threshold Accepting (Torres-Machí et al., 2013)
RNS-TA: Reduced Neighborhood Search with Threshold Accepting (Torres-Machí et al., 2013)
HSTA: Harmony Search with Threshold Accepting (García-Segura et al., 2014)
Algoritmos estándar usados en el proyecto HORSOST
ACO: Ant Colony Optimization (Martínez-Martín et al., 2013)
BVNS: Basic Variable Neighborhood Search (Torres-Machí et al., 2013)
NN: Neural Networks (Martí-Vargas et al., 2013)