Source: qvault.io
Examples of Heuristics in Computer ScienceCategory: Data, artificial-intelligence
Heuristics in computer science and artificial intelligence are “rules of thumb” used in algorithms to assist in finding approximate solutions to complex problems. However, because heuristics are based on individual rules unique to the problem they are solving, the specifics of the heuristics vary from problem to problem.
The nearest-neighbor (NN) heuristic solves this problem nicely: the computer always picks the nearest unvisited city next on the path.
An example heuristic for this problem is a greedy algorithm, which sorts the items in descending order of value per weight, and then proceeds to insert them into the “sack”.
Individuals using search engines want to find the information they are looking for as swiftly as possible.
The nearest-neighbor (NN) heuristic solves this problem nicely: the computer always picks the nearest unvisited city next on the path.
An example heuristic for this problem is a greedy algorithm, which sorts the items in descending order of value per weight, and then proceeds to insert them into the “sack”.
Individuals using search engines want to find the information they are looking for as swiftly as possible.
Related Articles
Community Partners
DevOps Careers