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In computer science, program optimization, code optimization, or software optimization is the process of modifying a software system to make some aspect of it work more efficiently or use fewer resources. [1]
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.
Profiling results can be used to guide the design and optimization of an individual algorithm; the Krauss matching wildcards algorithm is an example. [5] Profilers are built into some application performance management systems that aggregate profiling data to provide insight into transaction workloads in distributed applications.
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.
An approach to isolating optimization is the use of so-called post-pass optimizers (some commercial versions of which date back to mainframe software of the late 1970s). [17] These tools take the executable output by an optimizing compiler and optimize it even further.
AnyLogic - a multi-method simulation modeling tool for business and science. Developed by The AnyLogic Company. APMonitor - a tool for dynamic simulation, validation, and optimization of multi-domain systems with interfaces to Python and MATLAB. Arena - a flowchart-based discrete event simulation software developed by Rockwell Automation
PIDO stands for Process Integration and Design Optimization.Process Integration is needed as many software tools are used in a multi-domain system design. Control software is developed in a different toolchain than the mechanical properties of a system, where structural analysis is done using again some different tools.
It can also be multi-objective optimization problem. Jobs may have constraints, for example a job i needs to finish before job j can be started (see workflow). Also, the objective function can be multi-criteria. [4] Set of jobs can relate to different set of machines. Deterministic (fixed) processing times or probabilistic processing times.
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