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java.lang.Objectai.search.SearchEngine
ai.search.SearchEngineForIntCostFn<S>
ai.search.informed.BestFirstSearcherForIntCostFn<S>
ai.search.informed.MAStarSearcherForIntCostFn<S>
public class MAStarSearcherForIntCostFn<S extends SearchStateForIntCostFn>
This class represents a search engine that generates a search space from a given initial state and guided by a heuristic function. The initial state and the heuristic function must be given to this search engine at construction time.
Now the search can be started using the function doSearch()
.
Successors of the initial state will then be explored in the order determined
by the heuristic function. The essential strategy is to expand those nodes
first for which the current path cost plus the estimated distance to the
closest goal state is smallest, i.e. nodes which appear to be on a shortest
path to a goal state. The search will halt when a goal state has been
expanded. The goal state and the path to it can then be inspected using the
appropriate functions described in the
SearchEngineForIntCostFn
class.
Thus, a typical invocation would look something like this:
SearchEngineForIntCostFn s = new MAStarSearcherForIntCostFn( initialState, heuristic, Long.MAX_VALUE, GRAPH, 100); s.doSearch(); if (s.foundGoalState()) { ... }
To continue the search call doSearch()
again and the search will be
continued as far as possible. If the test for repeated states is switched on,
continuing the search will not result in the discovery of alternative paths
to an already discovered goal state, but in the discovery of alternative goal
states, if any. Furthermore, paths through a goal state will never be
considered.
An important feature of this SearchEngine is that it uses the available
memory, but starts to delete search nodes from memory when it gets close to
using all available memory. The memory limit is given by two parameters.
Firstly, there is the heap given to the JVM using the -Xmx option. Secondly,
there is a the percentage of this space that will be used, which can be set
using setMemoryUsageLimit(float)
. This will take into account all
memory used by all classes though, which means it may not work as expected if
there are other threads in the same JVM filling up the heap.
Nested Class Summary | |
---|---|
protected class |
MAStarSearcherForIntCostFn.MbSearchNode
|
protected class |
MAStarSearcherForIntCostFn.MbSearchQueue
|
Nested classes/interfaces inherited from class ai.search.SearchEngineForIntCostFn |
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SearchEngineForIntCostFn.SearchNodeForIntCostFn<S extends SearchStateForIntCostFn> |
Nested classes/interfaces inherited from class ai.search.SearchEngine |
---|
SearchEngine.GraphType |
Field Summary | |
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protected int |
maxF
the highest f-value that may appear in the queue |
protected MAStarSearcherForIntCostFn.MbSearchQueue |
open
the search queue for unexplored (open) nodes (outer by fValue, inner by depth) |
Fields inherited from class ai.search.informed.BestFirstSearcherForIntCostFn |
---|
dfTendency, h, hweight |
Fields inherited from class ai.search.SearchEngineForIntCostFn |
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foundGoalNode, initialState |
Fields inherited from class ai.search.SearchEngine |
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doInterrupt, doRepeatTest, searchLimit, searchStarted, traceStream, yieldFrequency |
Constructor Summary | |
---|---|
MAStarSearcherForIntCostFn(S state,
IntCostHeuristic<S> heuristic,
long limit,
SearchEngine.GraphType structure,
int maxF)
This constructor creates a new MAStarSearcherForIntCostFn for the given initial state, heuristic, search limit, type of search space, and f-value limit. |
Method Summary | |
---|---|
boolean |
continuable()
This function tests whether the search may be continued. |
void |
doSearch()
This function must be called to start or continue the search. |
int |
getNodeLimit()
This function returns the memory limit in as the number of nodes this search engine is allowed to keep in memory. |
long |
getNrOfExploredStates()
This function returns the number of states that have been explored during this search. |
long |
getNrOfGeneratedStates()
This function returns the number of states that have been generated during this search. |
void |
setMemoryAssessmentFrequency(int frq)
This function sets the frequency with which the memory limit is adjusted. |
void |
setMemoryUsageLimit(float limit)
This function sets the current memory limit. |
Methods inherited from class ai.search.informed.BestFirstSearcherForIntCostFn |
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setBreadthFirstTendency, setDepthFirstTendency, setHeuristicWeight |
Methods inherited from class ai.search.SearchEngineForIntCostFn |
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foundGoalState, getGoalState, getInitialState, getSolutionDepth, getSolutionPath, getSolutionPathCost |
Methods inherited from class ai.search.SearchEngine |
---|
clone, equals, getSearchLimit, hashCode, interrupt, printTrace, setSearchLimit, setTraceStream, setYieldFrequency, toString |
Methods inherited from class java.lang.Object |
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finalize, getClass, notify, notifyAll, wait, wait, wait |
Field Detail |
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protected int maxF
protected MAStarSearcherForIntCostFn.MbSearchQueue open
Constructor Detail |
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public MAStarSearcherForIntCostFn(S state, IntCostHeuristic<S> heuristic, long limit, SearchEngine.GraphType structure, int maxF)
This constructor creates a new MAStarSearcherForIntCostFn for the given
initial state, heuristic, search limit, type of search space, and f-value
limit. The search does not start immediately but waits for the function
doSearch()
to be called.
state
- the initial state from which the search space is generatedheuristic
- the heuristic function that guides the searchlimit
- the initial value for the search limitstructure
- TREE or GRAPH, depending on what is to be be searchedmaxF
- the highest expected f-valueMethod Detail |
---|
public void doSearch()
This function must be called to start or continue the search. It will only return when one of the following conditions becomes true:
SearchEngineForIntCostFn.foundGoalState()
will return true, the search will be continuable (continuable()
usually will return true), and SearchEngineForIntCostFn.getGoalState()
will return a goal
state, not nullSearchEngineForIntCostFn.foundGoalState()
will return false, the search will not be
continuable (continuable()
will return false), and
SearchEngineForIntCostFn.getGoalState()
will return null; to make the search continuable
the search limit has to be increased using SearchEngine.setSearchLimit(long)
SearchEngineForIntCostFn.foundGoalState()
will return false, the search will not be
continuable (continuable()
will return false), and
SearchEngineForIntCostFn.getGoalState()
will return null
doSearch
in class SearchEngine
public boolean continuable()
This function tests whether the search may be continued. Usually this is the case if there are more search states to be explored and the search limit has not yet been exceeded.
continuable
in class SearchEngine
public long getNrOfExploredStates()
This function returns the number of states that have been explored during this search. A state counts as explored when the goal test has been performed on the state and its successors have been generated.
getNrOfExploredStates
in class SearchEngine
public long getNrOfGeneratedStates()
This function returns the number of states that have been generated during this search. Note that these states may not all be different.
getNrOfGeneratedStates
in class SearchEngine
public int getNodeLimit()
This function returns the memory limit in as the number of nodes this search engine is allowed to keep in memory. Note that this limit may change while the search is performed. Also, this number may be exceeded.
public void setMemoryUsageLimit(float limit) throws java.lang.IllegalArgumentException
This function sets the current memory limit. This is given as a percentage of the heap size available to the JVM, i.e. it must be a value between 0.0f and 1.0f. The default value is currently 0.7f. Note that this limit applies to all memory used, not just the search engine.
limit
- the percentage of total heap space that may be used
java.lang.IllegalArgumentException
- if (limit <= 0.0f) || (limit >= 1.0f)public void setMemoryAssessmentFrequency(int frq)
This function sets the frequency with which the memory limit is adjusted. By default this will happen every 256 generated nodes.
frq
- the number of nodes generated before the next adjustment of
the memory limit
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