random search algorithm

См. также в других словарях:

• Search algorithm — In computer science, a search algorithm, broadly speaking, is an algorithm that takes a problem as input and returns a solution to the problem, usually after evaluating a number of possible solutions. Most of the algorithms studied by computer… …   Wikipedia

• Random optimization — is the name applied to a class of algorithmswhich can be used to solve optimization problems.Random optimization is relatively little known, but can be compared with genetic algorithms, and often random optimization outperforms other methods with …   Wikipedia

• Algorithm — Flow chart of an algorithm (Euclid s algorithm) for calculating the greatest common divisor (g.c.d.) of two numbers a and b in locations named A and B. The algorithm proceeds by successive subtractions in two loops: IF the test B ≤ A yields yes… …   Wikipedia

• Algorithm examples — This article Algorithm examples supplements Algorithm and Algorithm characterizations. = An example: Algorithm specification of addition m+n =Choice of machine model:This problem has not been resolved by the mathematics community. There is no… …   Wikipedia

• Search engine optimization — SEO redirects here. For other uses, see SEO (disambiguation). Internet marketing …   Wikipedia

• Random stimulus — A random stimulus is any of a class of creativity techniques that explore randomization. Most of their names start with word random ; random word, random heuristic, random picture, random sound, etc. In each random creativity technique the user… …   Wikipedia

• Cuckoo search — (CS) is an optimization algorithm developed by Xin she Yang and Suash Deb in 2009.[1][2] It was inspired by the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds (of other species). Some host… …   Wikipedia

• Maze generation algorithm — Maze generation algorithms are automated methods for the creation of mazes. This maze generated by modified version of Prim s algorithm, below. Contents 1 Graph theory based methods …   Wikipedia

• Local search (constraint satisfaction) — In constraint satisfaction, local search is an incomplete method for finding a solution to a problem. It is based on iteratively improving an assignment of the variables until all constraints are satisfied. In particular, local search algorithms… …   Wikipedia

• Genetic algorithm — A genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of… …   Wikipedia

• No free lunch in search and optimization — This article is about mathematical analysis of computing. For associated folklore, see No free lunch theorem. The problem is to rapidly find a solution among candidates a, b, and c that is as good as any other, where goodness is either 0 or 1.… …   Wikipedia