'Misplaced tiles' presentation slideshows

Heuristic Search

949 views • 94 slides

Heuristic Search

1.12k views • 71 slides

Informed search algorithms

Informed search algorithms. Chapter 4. Outline. Best-first search Greedy best-first search A * search Heuristics Local search algorithms Hill-climbing search Simulated annealing search Genetic algorithms. Best-first search. Idea: use an evaluation function f(n) for each node

843 views • 56 slides

Heuristic Search

Heuristic Search. Heuristic Search. Best First Search A*. Heuristic Search. Heuristic search exploits additional knowledge about the problem that helps direct search to more promising paths. A heuristic function that gives us an estimate of how far we are from a goal. Example:

799 views • 54 slides

Eastern Piedmont Orthoimagery 2013

Eastern Piedmont Orthoimagery 2013. Center for Geographic Information and Analysis Tim Johnson Darrin Smith Fayetteville, NC January 23, 2014. Today. Introductions Project overview Portable drive contents Technical Dialog VOICE Recap 60-Day Client Satisfaction Period

623 views • 50 slides

Informed search algorithms

Informed search algorithms. This lecture topic Chapter 3.5-3.7 Next lecture topic Chapter 4.1-4.2 (Please read lecture topic material before and after each lecture on that topic). Outline. Review limitations of uninformed search methods Informed (or heuristic) search uses

884 views • 46 slides

Lecture 4: Informed Heuristic Search

Lecture 4: Informed Heuristic Search. ICS 270a Winter 2003. Summary. Heuristics and Optimal search strategies heuristics hill-climbing algorithms Best-First search A*: optimal search using heuristics Properties of A* admissibility, monotonicity, accuracy and dominance efficiency of A*

684 views • 44 slides

Chapter 7. A* Pathfinding

Chapter 7. A* Pathfinding . 2013/04/18. A* Pathfinding . For most pathfinding problems, A* is the best choice The A* algorithm is efficient, but it can consume quite a few CPU cycles. Straight-line distances to Bucharest Arad 366 Bucharest 0 Craiova 160 Drobeta 242 Eforie 161

520 views • 36 slides

Heuristics

Heuristics. Some further elaborations of the art of heuristics and examples. Goodness of heuristics. If a heuristic is perfect, search work is proportional to solution length S = O(b*d) b is average branching, d depth of solution

537 views • 26 slides

Optimality of A*(standard proof)

Optimality of A*(standard proof). Suppose suboptimal goal G 2 in the queue. Let n be an unexpanded node on a shortest path to optimal goal G . f(G 2 ) = g(G 2 ) since h(G 2 )=0 > g(G) since G 2 is suboptimal >= f(n) since h is admissible

298 views • 20 slides