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Given a transformation between input and output values, described by a mathematical function, optimization deals with generating and selecting the best solution from some set of available alternatives, by systematically choosing input values from within an allowed set, computing the output of the function and recording the best output values found during the process.
ROMeo [1] [2] Rigorous Online Modelling and Equation Based Optimization is an advanced online chemical process optimizer of SimSci, a brand of Aveva software [3] It is mainly used by process engineers in the chemical, petroleum and natural gas industries.
Process optimization is the discipline of adjusting a process so as to make the best or most effective use of some specified set of parameters without violating some constraint. Common goals are minimizing cost and maximizing throughput and/or efficiency. Process optimization is one of the major quantitative tools in industrial decision making.
Several tools with combined sampling and call-graph profiling. A set of visualization tools, VCG tools, uses the Call Graph Drawing Interface (CGDI) to interface with gprof. Another visualization tool that interfaces with gprof is KProf. Free/open source - BSD version is part of 4.2BSD and GNU version is part of GNU Binutils (by GNU Project) HWPMC
The optimization software will deliver input values in A, the software module realizing f will deliver the computed value f(x). In this manner, a clear separation of concerns is obtained: different optimization software modules can be easily tested on the same function f, or a given optimization software can be used for different functions f.
modeFRONTIER [1] was released in 1999 by ESTECO as a spin-off of the EU research project on "Design Optimization" called FRONTIER. The initial work on the project started in 1996 with the collaboration of British Aerospace (UK), Parallab (Norway), University of Trieste, University of Newcastle (UK), Daimler-Benz Aerospace (DASA) (Germany), Defense Evaluation and Research Agency (UK ...
Evolutionary Operation (EVOP) is a manufacturing process-optimization technique developed in the 1950s by George E. P. Box. [1] In EVOP, experimental designs and improvements are introduced, while an ongoing full-scale manufacturing process continues to produce satisfactory results. The idea is that process improvement should not interrupt ...
Examples of these kinds of methods include tabu search and genetic algorithms. [4] Metamodels enable researchers to obtain reliable approximate model outputs without running expensive and time-consuming computer simulations. Therefore, the process of model optimization can take less computation time and cost. [8]