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| 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 |
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| 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 |
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| 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 |
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| Subclasses of LiOSearch in lio.search.genetic | |
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class |
CHC
Implement the CHC Adaptive Search Algorithm proposed by L.J. |
class |
StdGeneticAlgorithm
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| Uses of LiOSearch in lio.search.local.greedy |
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| 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 |
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| 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 |
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| Subclasses of LiOSearch in lio.search.local.simulatedannealing | |
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class |
SA
This class implements a multiple restart hill climbing. |
| Uses of LiOSearch in lio.search.probabilistic |
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| Subclasses of LiOSearch in lio.search.probabilistic | |
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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 |
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| Subclasses of LiOSearch in lio.search.pso | |
|---|---|
class |
PSO
This class implements the frame for different Particle Swarm Optimization algorithms. |
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