A-star algorithm - Factbites

A-star algorithm - Factbites
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Topic: A-star algorithm

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	A* search algorithm - Wikipedia, the free encyclopedia
		The A* search algorithm (pronounced "A star") is a graph search algorithm that finds a path from a given initial node to a given goal node (or one passing a given goal test).
		Algorithm A cannot rule out the possibility, based on the heuristic information it has, that a path through that node might have a lower cost.
		The algorithm then removes the next node from the priority queue (because of the way a priority queue works, the node removed will have the lowest heuristic).
	en.wikipedia.org /wiki/A-star_search_algorithm

	Algorithm
		Yarrow algorithm The Yarrow algorithm is a I Ching divination.
		Algorithm An algorithm is a well-defined set of instructions, finite in number, for accomplishing some task which, given...
		Metropolis-Hastings algorithm In physics, the Metropolis-Hastings algorithm is an algorithm to generate a sequence of sa...
	www.brainyencyclopedia.com /topics/algorithm.html

	Justin Heyes-Jones personal web pages - A* Tutorial
		When the algorithm begins the start state is placed on the open list, it is the only state we know about and we have not expanded it.
		An algorithm is a set of steps which you can follow to solve a problem, which always works for valid input.
		As we will see the A* algorithm is in a header file, since it is implemented as a template class, so to compile you need only compile on of the example files 8puzzle.cpp or findpath.cpp.
	www.geocities.com /jheyesjones/astar.html

	Shortest path problem - free-definition
		Dijkstra's algorithm - solves single source problem if all edge weights are greater than or equal to zero.
		A* algorithm (or A* pathing algorithm) - a heuristic for single source shortest paths.
		A related problem is the traveling salesman problem, which is the problem of finding the shortest path that goes through every node exactly once, and returns to the start.
	www.free-definition.com /Shortest-path-problem.html

	Searching for Feasible Plans
		If the search algorithm explores in only one direction, as depicted in Figure 3.3.a, then in the limit most of the space will be left uncovered, even though no states are revisited.
		The methods presented in this section are just graph search algorithms, but with the understanding that the state transition graph is revealed incrementally through the application of actions, instead of being fully specified in advance.
		If the graph is finite, this means that the algorithm will visit every reachable state, which enables it to correctly declare in finite time whether or not a solution exists.
	msl.cs.uiuc.edu /planning/node51.html

	A-Star Algorithm
		If you're willing to settle for an approximation, there are very fast algorithms out there that use heuristics or additional information about your map to determine a "pretty good" path.
		Unlike Dijkstra's algorithm or the wavefront (breadth-first search) algorithms, A* does not search the rest of the map unless it needs to.
		This will greatly reduce the number of "nodes" in your path-searching algorithm.
	www-cs-students.stanford.edu /~amitp/Articles/AStar2.html

	astar.curl
		Dijkstra's algorithm is guaranteed to find a shortest path from the starting point to the goal, as long as none of the edges have a negative cost.
		This confuses pathfinding algorithms such as A*, because it introduces the possibility that the shortest path from one point to another is along a winding road that seems to lead nowhere.
		An algorithm such as A* has a cost function that determines how difficult it is to pass a point on the map.
	theory.stanford.edu /~amitp/GameProgramming/astar.curl

	A* search algorithm - Wikipedia, the free encyclopedia
		The A* search algorithm (pronounced "A star") is a graph search algorithm that finds a path from a given initial node to a given goal node (or one passing a given goal test).
		The A* algorithm is therefore an example of best-first search.
		Algorithm A cannot rule out the possibility, based on the heuristic information it has, that a path through that node might have a lower cost.
	www.wikipedia.org /wiki/A_Star_Search_Algorithm (1305 words)

	GameDevBlog: Blobmap: an elegant alternative to a-star
		Your blogmap algorithm is essentially breadth-first search, with the destination as the starting point and the initial point as the goal.
		Well from JF's description of the algorithm it does, but if one was to start the flood fill from the source, as opposed to the destination it doesn't matter.
		A* is a family of algorithms that differ by their heuristic function that estimates the distance to the goal.
	www.gamedevblog.com /2005/07/blobmap__an_ele.html (1305 words)

	SEARCH
		A-star search, like Dijkstra's shortest path algorithm, solves the problem of finding an optimal path in a weighted directed graph from a given start node to a given goal node.
		Unlike Dijkstra's algorithm, A-star search includes an optimistic estimate of how much it would cost to continue to the goal.
		A-star, like Dijkstra's algorithm, is a best-first search.
	www.cs.ndsu.nodak.edu /~hennebry/ifors/search.html (1305 words)

	Searching using A* (A-Star)
		This algorithm is much nicer than dfs because not only are you guaranteed a path to the goal, but you're guaranteed the shortest path.
		You've probably heard of this algorithm, because it's the leading pathfinding algorithm (plus, that's the name of this tutorial and I'll be a monkey's uncle if you weren't searching for an A* tutorial).
		It's our heuristic (a heuristic, informally, is something which is not a definite series of steps to a solution (like an algorithm) but it helps us determine our answers is a rough way).
	rajiv.macnn.com /tut/search.html (1305 words)

	A* (A-star) algorithm on the puzzle problem
		This is a project in AI, the applets are a monitor for the A-star Algorithm.
		Below are applets ready to run the A* Algorithm on the 8-Puzzle path find problem.
		For an analysis on the results and the heuristic functions used please read the analysis page.
	www.geocities.com /csmba (1305 words)

	Asterisk - Art History Online Reference and Guide
		Computer scientists often pronounce it as star (as, for example, in the A* algorithm).
		In the GCSE examination, A* ("A-star") is a special top grade that is distinguished from grade A. In many MUDs and MOOs, as well as 'male', 'female' and other more esoteric genders, there is a gender called 'splat', which uses an asterisk to replace the letters that differ in standard English gender pronouns.
		On a Touch-Tone telephone keypad, * (called star) is one of the two special keys, and is found on the left of the zero.
	www.arthistoryclub.com /art_history/Asterisk (1305 words)

	The rpg-project -- The A* algorithm
		In general, the A* (A-Star) algorithm is used in most games to realise the way finding of game characters.
		This page will not explain how to program the A* algorithm, but it will try to depict how it all works graphically.
		More detailed information on those algorithms and implementations can be found through the web.
	www.rpg-project.com /pages/astar.htm (1305 words)

	Path-Planning Strategies
		This algorithm is relatively quick and the robot plans as well as possible based on its knowledge of the world which improves over time, but this knowledge is derived from a static knowledgebase of the world and not from real sensor readings.
		D* is a good algorithm for dynamically replanning a path based on a few changes to the previous knowledge of the world.
		These algorithms need to execute quickly to find the shortest possible path, and ideally should be able to gracefully replan when confronted with unforeseen obstacles.
	palantir.swarthmore.edu /maxwell/classes/e28/S00/reports/groom-johnson-nelson-olshfski-lab2 (1305 words)

	A* (A-Star) Algorithm
		Assuming we know nothing about the solution to this problem, the A-Star Algorithm is a good choice to search for the solution.
		Email me if you'd like to see the full source for the A* Algorithm in Python or if you have any ideas for better heuristics.
		The goal is to move the knights so that the white knights and black knights effectively swap places.
	www.brandonsterne.com /astar.php (1305 words)

	Artificial Intelligence Vocabulary
		A* algorithm (pronounced ``A-star'') an algorithm for heuristic search, using an admissible heuristic function, that is guaranteed to find a minimum-cost solution if one exists.
		an algorithm for determining the backed-up value of a node in a game tree from the values of child nodes one move below: if it is the player's move, the maximum of the values below is taken; if the opponent's move, the minimum.
		genetic algorithm a class of algorithms that attempt to solve a problem by an evolution-like process.
	www.cs.utexas.edu /users/novak/cs381kvocab.html (1305 words)

	Discrete Planning
		The relationship between Dijkstra's algorithm and value iteration is also discussed.
		327] is widely considered as a seminal planning algorithm, and the ``PS'' part of its name stands for ``Problem Solver.'' Thus, problem solving and planning appear to be synonymous.
		Finally, Sections 3.4 and 3.5 describe logic-based representations of planning, and methods that exploit these representations to make the problem easier to solve; material from these sections is not needed in later chapters.
	msl.cs.uiuc.edu /planning/node47.html (1305 words)

	ROGOT WORLD :::: ROBOTS, LIFE & CREATIVITY
		The best and most used algorithm to search a path is without any doubts the A* (pronounced “A-star”) algorithm.
		A* is a graph searching algorithm that uses an estimate how close the current position of the path is to the target, so it don’t need to search the whole map for a perfect path.
		We need a search algorithm that knows where the target is, but not forget to check if there is an other way that maybe goes backward at some time.
	www.rogotworld.com /tutorial1.php (1305 words)

	A*
		A* (a-star) is an algorithm that efficiently finds a shortest path in a graph.
		While you can't really know whether a path will turn out to be any good before you finish it, you can save yourself a lot of time by not starting with the path that goes the opposite direction from where you want to go.
		This is why more sophisticated pathfinding algorithms were invented - if you do it clever, you can still get the best path without looking at every possible path.
	gpwiki.org /index.php/A_star (1305 words)

	Citations : Meet Chancellor Cantor
		Decoding is a very difficult computational program, but you have developed a number of efficient decoding algorithms, including the Zero Neighbors Algorithm and the A-star algorithm.
		You have made exceptional contributions in the areas of coding theory, testing of faults in digital circuits, and the development of computer algorithms.
		Your work in information theory and the development of efficient computational algorithms has yielded applications valuable to biological and medical science, computer programming, and artificial intelligence.
	www.syr.edu /chancellor/citations/hartmann.html (1305 words)

	Need "cheapest movement from A to B" algorithm
		If there is a heuristic function that is very slow to =evaluate, then Djikstra's algorithm may be faster, but A* with a different =heuristic function may be even faster.
		If there is a heuristic function that is very slow to evaluate, then Djikstra's algorithm may be faster, but A* with a different heuristic function may be even faster.
		With a heuristic function that does not over-estimate the cost of a node, the A* algorithm must therefore always find a shortest path to a goal node (when a goal node exists).
	www.comphelpone.com /new-6333768-5219.html (1305 words)

	SpaceBattles.com - Maths whizzes needed..
		Right now I'm using the Dijkstra algorithm as the A-Star requires heuristics, which can't be applied to this situation.
		I've done some research and have found both the Dijkstra algorithm (http://www-b2.is.tokushima-u.ac.jp/~ikeda/suuri/dijkstra/Dijkstra.shtml) and the A-Star algorithm (http://upe.acm.jhu.edu/websites/Benny_Tsai/Introduction%20to%20AStar.htm).
		I'm writing a program that uses a shortest path algorithm.
	kier.3dfrontier.com /forums/archive/index.php/t-77376.html (1305 words)

	Path finding
		One of the most common path finding algorithms that seems to work fast and with a minimal amount of resources is the A* (pronounced A-Star) algorithm.
		This can be done any way you see fit, but keep in mind that the closer that the heuristic is to the actual value, the better the algorithm will work.
		A node has been tested when we have looked at what the path would be for all the surrounding nodes.
	www.csh.rit.edu /~rhubarb/selfhelp/gai/gai07.htm (1305 words)

	Project 2
		In this project, we used the A-Star algorithm to find the shortest path to a goal location given an already explored map.
		The world was the same as in project 1, meaning that the size of the world was 10x14 and obstacles were still present.
		In our program it required an if statement which said that if an object existed in the cell you were trying to expand, then don't expand that block and mark that block as expanded.
	web.sbu.edu /cs/roboticsLab/cs342sp01/smithburek/a-star/project_2.htm (1305 words)

	A* ALGORITHM
		Translations for "A* ALGORITHM"; alternative meanings/domain in parentheses.
		Source: compiled by the editor from various references; see credits.
	www.websters-online-dictionary.org /A/A_algorithm.html (1305 words)

	EXPLORING SHORTEST PATH ALGORITHMS
		The A-Star (A) algorithm* is also a commonly used algorithm for shortest path problems.
		Dijkstra’s shortest path algorithm is currently the most commonly used shortest path algorithms used in GIS systems today.
		The Bellman Ford algorithm can be applied to a more general case problem than that of Dijkstras algorithm, but may not produce as good of a result.
	www.uwec.edu /jolhm/Past_Classes/2000/335-2000/Group9/bAbstract.html (1305 words)

	TNT Basic Forums - How to make structures?...and path finding?
		2.- Someone wrote one a-star algorithm with tntbasic?
		I think what you might be thinking of is the cursor function in one of Danlab's games, which makes stars fly from the cursor when hovered over a button.
		Danlab has very generously made this code avaliable to download from either their own wevsite www.danlabgames.com or you could get it from the uDev website, the game is called 'Twins Cards'
	www.tntbasic.com /community/forums/showthread.php?threadid=433 (1305 words)

	Developer Corner
		We have an implementation of the A-star algorithm for path-finding.
		The only needed class is wotlas.utils.List which is an adapted implementation of the java.util.Vector class (adapted for the A-star algorithm for better performance).We also have developed a simple smoothing algoritm for our Astar.
		Given a 2 color bitmap mask this algorithm finds the path between two points.
	wotlas.sourceforge.net /developer.html (1305 words)

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