Uses of Class
lio.search.LiOSearch

Packages that use LiOSearch
lio.core   
lio.search   
lio.search.genetic   
lio.search.local.greedy   
lio.search.local.hillclimbing   
lio.search.local.simulatedannealing   
lio.search.probabilistic   
lio.search.pso   
 

Uses of LiOSearch in lio.core
 

Methods in lio.core with parameters of type LiOSearch
 boolean LiOResourceFactory.applySearchConf(LiOSearch alg)
          Let update LiOSearch algorithm's parameters before run it from configuration file or command line parameters
 boolean LiOResourceFactory.saveConfToFile(LiOSearch search, java.lang.String file)
          Save actual configuration of a search algorithm to a file
 

Uses of LiOSearch in lio.search
 

Methods in lio.search with parameters of type LiOSearch
static boolean LiOSearch.execute(LiOSearch algorithm, java.lang.String[] options)
          This method performs all operations needed to launch an algorithm.
 

Uses of LiOSearch in lio.search.genetic
 

Subclasses of LiOSearch in lio.search.genetic
 class CHC
          Implement the CHC Adaptive Search Algorithm proposed by L.J.
 class StdGeneticAlgorithm
           
 

Uses of LiOSearch in lio.search.local.greedy
 

Subclasses of LiOSearch in lio.search.local.greedy
 class GRASP
          This class implements the Greedy Randomized Adaptative Search Procedure.
 class GreedyConstruction
          This class encapsulates the greedy construction to implement it as a search procedure.
 

Uses of LiOSearch in lio.search.local.hillclimbing
 

Subclasses of LiOSearch in lio.search.local.hillclimbing
 class ILS
          This class implements the Iterative Local Search algorithm.
 class MRHillClimbing
          This class implements a multiple restart hill climbing.
 

Uses of LiOSearch in lio.search.local.simulatedannealing
 

Subclasses of LiOSearch in lio.search.local.simulatedannealing
 class SA
          This class implements a multiple restart hill climbing.
 

Uses of LiOSearch in lio.search.probabilistic
 

Subclasses of LiOSearch in lio.search.probabilistic
 class EDA
           
 class PBIL
          This class implements the population based incremantal learning defined by Shumeet Baluja in "Population-Based Incremental Learning: A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning".
 

Uses of LiOSearch in lio.search.pso
 

Subclasses of LiOSearch in lio.search.pso
 class PSO
          This class implements the frame for different Particle Swarm Optimization algorithms.