Language: | Slovenian |
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Year of publishing: | 2012 |
Typology: | 2.11 - Undergraduate Thesis |
Organization: | UL FRI - Faculty of Computer and Information Science |
Publisher: | [J. Medvešek] |
UDC: | 004(043.2) |
COBISS: | 9390164 |
Views: | 53 |
Downloads: | 3 |
Average score: | 0 (0 votes) |
Metadata: |
Secondary language: | English |
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Secondary title: | Optimisation of space-saving graph search with approximate heuristic values |
Secondary abstract: | Finding an optimal path in a state space is often very difficult in practise. The goal of this diploma thesis is to find a space efficient algorithm which finds an optimal solution within an acceptable time frame, even in large problem spaces. Algorithm A* is relatively fast, but it has exponential space complexity. Algorithms with linear space complexity can have quadratic time complexity, in terms of A*'s time complexity. In both cases we do not check for duplicates achieved by different paths. For this type of graphs we propose an optimization of the IDA* algorithm, where we granulate the heuristic function f. The new algorithm finds an optimal solution with time complexity O(N logN), where N is the number of nodes expanded by algorithm A*. Space complexity is linear in the length of the longest expanded path. The same idea can be applied to algorithm RBFS where RBFS can be even slightly faster than IDA*. |
Secondary keywords: | search;optimization;granulation;computer science;computer and information science;computer science and mathematics;diploma; |
File type: | application/pdf |
Type (COBISS): | Undergraduate thesis |
Thesis comment: | Univ. v Ljubljani, Fak. za računalništvo in informatiko |
Pages: | 32 str. |
ID: | 24142493 |