travelling salesman problem
61Complexity — For other uses, see Complexity (disambiguation). In general usage, complexity tends to be used to characterize something with many parts in intricate arrangement. The study of these complex linkages is the main goal of complex systems theory. In… …
62List of terms relating to algorithms and data structures — The [http://www.nist.gov/dads/ NIST Dictionary of Algorithms and Data Structures] is a reference work maintained by the U.S. National Institute of Standards and Technology. It defines a large number of terms relating to algorithms and data… …
63Door-to-door — This article is about the sales technique. For the travelling salesman problem in mathematics, see travelling salesman problem. Door to door redirects here. For other uses, see Door to Door (disambiguation). Door to door is a sales technique in… …
64Christofides algorithm — The goal of the Christofides heuristic algorithm (named after Nicos Christofides) is to find a solution to the instances of the traveling salesman problem where the edge weights satisfy the triangle inequality. Let G = (V,w) be an instance of TSP …
65Edge recombination operator — General DescriptionThe edge recombination operator (ERO) is an operator that creates a path that is similar to a set of existing paths (parents) by looking at the edges rather than the vertices. The main application of this is for crossover in… …
66Künstliche neuronale Netze — (kurz: KNN, engl. artificial neural network – ANN) sind Netze aus künstlichen Neuronen. Sie sind ein Zweig der künstlichen Intelligenz und prinzipieller Forschungsgegenstand der Neuroinformatik. Der Ursprung der künstlichen neuronalen Netze liegt …
67Künstliche neuronale Netzwerke — Künstliche neuronale Netze (kurz: KNN, engl. artificial neural network – ANN) sind Netze aus künstlichen Neuronen. Sie sind ein Zweig der künstlichen Intelligenz und prinzipieller Forschungsgegenstand der Neuroinformatik. Der Ursprung der… …
68Combinatorial optimization — In applied mathematics and theoretical computer science, combinatorial optimization is a topic that consists of finding an optimal object from a finite set of objects.[1] In many such problems, exhaustive search is not feasible. It operates on… …
69Local search (optimization) — In computer science, local search is a metaheuristic for solving computationally hard optimization problems. Local search can be used on problems that can be formulated as finding a solution maximizing a criterion among a number of candidate… …
70Extremal optimization — (EO) is an optimization heuristic inspired by the Bak Sneppen model of self organized criticality from the field of statistical physics. This heuristic was designed initially to address combinatorial optimization problems such as the travelling… …
