UPV



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)

Universidad Politécnica de Valencia