optimization
61Supply chain optimization — is the application of processes and tools to ensure the optimal operation of a manufacturing and distribution supply chain. This includes the optimal placement of inventory within the supply chain, minimizing operating costs (including… …
62Nexus (Process integration and optimization) — Nexus Screenshot of Nexus 1.1.05 Developer(s) iChrome …
63Loop optimization — In compiler theory, loop optimization plays an important role in improving cache performance, making effective use of parallel processing capabilities, and reducing overheads associated with executing loops. Most execution time of a scientific… …
64Collective Optimization Database — is an open repository to enable sharing of benchmarks, data sets and optimization cases from the community, provide web services and plugins to analyze optimization data and predict program transformations or better hardware designs for multi… …
65Topology optimization — can be defined as:A mathematical process whereby the location and number of voids within a structure is defined given a prescribed set of limitations and a clear objective. [ [http://www.lulu.com/content/794546] Investigation into Structural… …
66Social Media Optimization — (SMO) bezeichnet zum einen die Optimierung von Webseiten, damit diese leichter in Social Media Diensten (z.B. Weblogs, Social Networks, Social Bookmarks) aufgenommen werden. Zum Anderen wird der Begriff vor allem im Online Marketing synonym zu… …
67Repulsive particle swarm optimization — In mathematics, specifically in optimization, repulsive particle swarm optimization (RPSO) is a global optimization algorithm. It belongs to the class of stochastic evolutionary global optimizers, and is a variant of particle swarm optimization… …
68Constraint optimization — In constraint satisfaction, constrained optimization (also called constraint optimization) seeks for a solution maximizing or minimizing a cost function. Contents 1 Definition 2 Solution methods 2.1 Branch and bound …
69Distributed constraint optimization — (DCOP or DisCOP) is the distributed analogue to constraint optimization. A DCOP is a problem in which a group of agents must distributedly choose values for a set of variables such that the cost of a set of constraints over the variables is… …
70Stochastic optimization — (SO) methods are optimization algorithms which incorporate probabilistic (random) elements, either in the problem data (the objective function, the constraints, etc.), or in the algorithm itself (through random parameter values, random choices,… …
