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In computer science and operations research, a genetic algorithm ( GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA). Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on biologically inspired ...
Grammatical evolution (GE) is an evolutionary computation and, more specifically, a genetic programming (GP) technique (or approach) pioneered by Conor Ryan, JJ Collins and Michael O'Neill in 1998 [1] at the BDS Group in the University of Limerick . As in any other GP approach, the objective is to find an executable program, program fragment ...
The percentage shows the perceived importance, and the arrows represent hyperlinks. PageRank ( PR) is an algorithm used by Google Search to rank web pages in their search engine results. It is named after both the term "web page" and co-founder Larry Page. PageRank is a way of measuring the importance of website pages.
Random number generation is a process by which, often by means of a random number generator ( RNG ), a sequence of numbers or symbols that cannot be reasonably predicted better than by random chance is generated. This means that the particular outcome sequence will contain some patterns detectable in hindsight but impossible to foresee.
In computer science, best, worst, and average cases of a given algorithm express what the resource usage is at least, at most and on average, respectively. Usually the resource being considered is running time, i.e. time complexity, but could also be memory or some other resource. Best case is the function which performs the minimum number of ...
Flowchart of using successive subtractions to find the greatest common divisorof number rand s. In mathematicsand computer science, an algorithm(/ˈælɡərɪðəm/ ⓘ) is a finitesequence of mathematically rigorousinstructions, typically used to solve a class of specific problemsor to perform a computation.[1]
History Main article: History of artificial intelligence Part of a series on Artificial intelligence Major goals Artificial general intelligence Intelligent Agent Recursive self-improvement Planning Computer vision General game playing Knowledge reasoning Natural language processing Robotics AI safety Approaches Machine learning Symbolic Deep learning Bayesian networks Evolutionary algorithms ...
A bi-level genetic algorithm (i.e. a genetic algorithm where the fitness of each individual is calculated by running another genetic algorithm) was used due to the Σ P 2-completeness of the problem. Earth Sciences. Climatology: Estimation of heat flux between the atmosphere and sea ice; Climatology: Modelling global temperature changes