|
OptQuest
OptQuest is an optimization software developed by OptTek Systems, Inc., used to tackle complex optimization problems through Simulation-based optimization (SBO). It primarily integrates with commercial simulation software to improve decision-making and optimization in scenarios characterized by stochastic behavior and complexity. Underlying algorithms Like other optimization packages and SBO products, OptQuest utilizes metaheuristic algorithms. Among them, OptQuest uses: * Tabu search * Scatter search OptQuest, like practically all software packages for simulation-based optimization, utilizes iterative heuristics and approaches the simulation model as a black box, meaning it only interacts with the model through its input and output data. Software integration OptQuest was initially released in 1998 as a spinout of the University of Colorado Boulder to be used with Crystal Ball simulation software (Decisioneering Inc.). OptQuest is frequently used as a plugin with various c ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Arena (software)
Arena is a discrete event simulation and automation software developed by Systems Modeling and acquired by Rockwell Automation in 2000. It uses the SIMAN processor and simulation language. As of 2020, it is in version 16. It has been suggested that Arena may join other Rockwell software packages under the "FactoryTalk" brand. In Arena, the user builds an experiment ''model'' by placing ''modules'' (boxes of different shapes) that represent processes or logic. Connector lines are used to join these modules together and to specify the flow of ''entities''. While modules have specific actions relative to entities, flow, and timing, the precise representation of each module and entity relative to real-life objects is subject to the modeler. Statistical data, such as cycle time and WIP (work in process) levels, can be recorded and made output as reports. Arena can be integrated with Microsoft technologies. It includes Visual Basic for Applications so models can be further automated if ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Metaheuristic
In computer science and mathematical optimization, a metaheuristic is a higher-level procedure or heuristic designed to find, generate, tune, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem or a machine learning problem, especially with incomplete or imperfect information or limited computation capacity. Metaheuristics sample a subset of solutions which is otherwise too large to be completely enumerated or otherwise explored. Metaheuristics may make relatively few assumptions about the optimization problem being solved and so may be usable for a variety of problems. Their use is always of interest when exact or other (approximate) methods are not available or are not expedient, either because the calculation time is too long or because, for example, the solution provided is too imprecise. Compared to optimization algorithms and iterative methods, metaheuristics do not guarantee that a globally optimal sol ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
AnyLogic
AnyLogic is a multimethod simulation modeling tool developed by The AnyLogic Company (formerly XJ Technologies). It supports agent-based, discrete event, and system dynamics simulation methodologies.Christopher W. Weimer, J. O. Miller, Raymond R. Hill"Agent-Based Modeling: an Introduction and Primer" Proceedings of the 2016 Winter Simulation Conference AnyLogic is cross-platform simulation software that works on Windows, macOS and Linux. AnyLogic is used to simulate: markets and competition,Jingsi Huang, Lingyan Liu, Leyuan Shi."Auction Policy Analysis: an Agent-Based Simulation Optimization Model of Grain Market" Proceedings of the 2016 Winter Simulation Conference healthcare,Anatoli Djanatliev, Reinhard German, Peter Kolominsky-Rabas"Hybrid Simulation with Loosely Coupled System Dynamics and Agent-based Models for Prospective Health Technology Assessments" Proceedings of the 2012 Winter Simulation Conference manufacturing, supply chains and logistics, retail, business processes ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Optimization Problem
In mathematics, engineering, computer science and economics Economics () is a behavioral science that studies the Production (economics), production, distribution (economics), distribution, and Consumption (economics), consumption of goods and services. Economics focuses on the behaviour and interac ..., an optimization problem is the problem of finding the ''best'' solution from all feasible solutions. Optimization problems can be divided into two categories, depending on whether the variables are continuous or discrete: * An optimization problem with discrete variables is known as a '' discrete optimization'', in which an object such as an integer, permutation or graph must be found from a countable set. * A problem with continuous variables is known as a '' continuous optimization'', in which an optimal value from a continuous function must be found. They can include constrained problems and multimodal problems. Search space In the context of an optim ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Simulation-based Optimization
Simulation-based optimization (also known as simply simulation optimization) integrates optimization techniques into simulation modeling and analysis. Because of the complexity of the simulation, the objective function may become difficult and expensive to evaluate. Usually, the underlying simulation model is stochastic, so that the objective function must be estimated using statistical estimation techniques (called output analysis in simulation methodology). Once a system is mathematically modeled, computer-based simulations provide information about its behavior. Parametric simulation methods can be used to improve the performance of a system. In this method, the input of each variable is varied with other parameters remaining constant and the effect on the design objective is observed. This is a time-consuming method and improves the performance partially. To obtain the optimal solution with minimum computation and time, the problem is solved iteratively where in each iteration th ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Tabu Search
Tabu search (TS) is a metaheuristic search method employing local search methods used for mathematical optimization. It was created by Fred W. Glover in 1986 and formalized in 1989. Local (neighborhood) searches take a potential solution to a problem and check its immediate neighbors (that is, solutions that are similar except for very few minor details) in the hope of finding an improved solution. Local search methods have a tendency to become stuck in suboptimal regions or on plateaus where many solutions are equally fit. Tabu search enhances the performance of local search by relaxing its basic rule. First, at each step ''worsening'' moves can be accepted if no improving move is available (like when the search is stuck at a strict local minimum). In addition, ''prohibitions'' (hence the term ''tabu'') are introduced to discourage the search from coming back to previously-visited solutions. The implementation of tabu search uses memory structures that describe the visited ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Genetic Algorithm
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 via biologically inspired operators such as selection, crossover, and mutation. Some examples of GA applications include optimizing decision trees for better performance, solving sudoku puzzles, hyperparameter optimization, and causal inference. Methodology Optimization problems In a genetic algorithm, a population of candidate solutions (called individuals, creatures, organisms, or phenotypes) to an optimization problem is evolved toward better solutions. Each candidate solution has a set of properties (its chromosomes or genotype) which can be mutated and altered; traditionally, solutions are represented in binary as strings of 0s and 1s, but other encod ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Simul8
SIMUL8 simulation software is a product of the SIMUL8 Corporation used for simulating systems that involve processing of discrete entities at discrete times. SIMUL8 allows its user to create a computer model, which takes into account real life constraints, capacities, failure rates, shift patterns, and other factors affecting the total performance and efficiency of production. SIMUL8 can be used to model any process where there is a flow of work, however the main areas of use are in manufacturing, health care, contact centers, automotives and supply chain. Model building Construction of SIMUL8 models is usually not based on programming or statistical data, but rather on drawing organization schemes on the screen. However, SIMUL8 implements a two-way interface with Visual Basic, which leaves space for creation of model features which cannot be modeled using only the graphical interface. SIMUL8 also provides its own simulation language called Visual Logic, which allows the u ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Plug-in (computing)
In computing, a plug-in (also spelled plugin) or add-in (also addin, add-on, or addon) is a software component that extends the functionality of an existing software system without requiring the system to be software build, re-built. A plug-in software feature, feature is one way that a system can be customizable. Applications support plug-ins for a variety of reasons including: * Enable third-party developers to extend an application * Support easily adding new features * Reduce the size of an application by not loading unused features * Separate source code from an application because of incompatible software licenses Examples Examples of plug-in use for various categories of applications: * Digital audio workstations and audio editing software use audio plug-ins to generate, process or analyze sound. Ardour (software), Ardour, Audacity (audio editor), Audacity, Cubase, FL Studio, Logic Pro, Logic Pro X and Pro Tools are examples of such systems. * Email clients use plug-i ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Software
Software consists of computer programs that instruct the Execution (computing), execution of a computer. Software also includes design documents and specifications. The history of software is closely tied to the development of digital computers in the mid-20th century. Early programs were written in the machine language specific to the hardware. The introduction of high-level programming languages in 1958 allowed for more human-readable instructions, making software development easier and more portable across different computer architectures. Software in a programming language is run through a compiler or Interpreter (computing), interpreter to execution (computing), execute on the architecture's hardware. Over time, software has become complex, owing to developments in Computer network, networking, operating systems, and databases. Software can generally be categorized into two main types: # operating systems, which manage hardware resources and provide services for applicat ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
University Of Colorado Boulder
The University of Colorado Boulder (CU Boulder, CU, or Colorado) is a public research university in Boulder, Colorado, United States. Founded in 1876, five months before Colorado became a state, it is the flagship university of the University of Colorado system. CU Boulder is a member of the Association of American Universities, considered a Public Ivy and is classified among R1: Doctoral Universities – Very high research activity. The university consists of nine colleges and schools and offers over 150 academic programs, enrolling more than 35,000 students as of January 2022. In 2021, the university attracted the support of over $634 million for research and spent $536 million on research and development according to the National Science Foundation, ranking it 50th in the nation. It receives the most NASA astrophysics technology grants of all academic institutions and is the only university in the world that has sent instruments to all planets in the Solar System. The Col ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
