Search for "Optimization" in article titles:

1. Metaheuristic Optimization: Metaheuristic optimization deals with optimization problems using metaheuristic algorithms. Optimization is essentially everywhere, from engineering design to economics and from holiday planning to Internet routing. [100%] 2021-12-24 [Applied Mathematics] [Optimization]...
2. Optimization (mathematics): In mathematics, the term optimization refers to study of problems in which one seeks for a minimum or a maximum of a real function within a given allowed set. This problem can be presented in the following way. (Mathematics) [100%] 2023-06-12
3. Optimization problem: In mathematics, engineering, computer science and economics, 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: The ... (Problem of finding the best feasible solution) [100%] 2024-01-07 [Computational problems]
4. Optimization Toolbox: Optimization Toolbox is an optimization software package developed by MathWorks. It is an add-on product to MATLAB, and provides a library of solvers that can be used from the MATLAB environment. (Software) [100%] 2024-01-09 [Mathematical optimization software]
5. Optimization mechanism: In network science, the optimization mechanism is a network growth algorithm, which randomly places new nodes in the system, and connects them to the existing nodes based on a cost-benefit analysis. Depending on the parameters used in the optimization ... (Network science algorithm) [100%] 2024-07-30 [Networks] [Routing algorithms]...
6. Optimization (mathematics)#Catalogs: This is a list of the available optimization software. The listed software is divided into freeware and proprietary software. (Mathematics) [100%] 2026-04-18
7. Optimization (computer science): In computer science, particularly in the study of compilers, an optimization is a transformation of computer programs that, when applied to a computer program P, produces an equivalent program P' which is in some way more optimal (i.e. faster ... (Computer science) [81%] 2023-07-27
8. Proximal Policy Optimization: Proximal Policy Optimization (PPO) is a family of model-free reinforcement learning algorithms developed at OpenAI in 2017. PPO algorithms are policy gradient methods, which means that they search the space of policies rather than assigning values to state-action ... (Model-free reinforcement learning algorithm) [81%] 2024-01-10 [Machine learning algorithms] [Reinforcement learning]...
9. Search Engine Optimization: Redirect to. [81%] 2021-12-21
10. ShortPixel Image Optimization: ShortPixel Image Optimization is a freemium image optimization and compression API and WordPress plugin used for enhancing website performance. ShortPixel is owned and operated by ID SCOUT SRL, a Romanian-based firm. (Software) [81%] 2024-01-10 [Software]
11. Optimization Programming Language: Optimization Programming Language (OPL) is an algebraic modeling language for mathematical optimization models, which makes the coding easier and shorter than with a general-purpose programming language. It is part of the CPLEX software package and therefore tailored for the ... (Algebraic modeling language) [81%] 2023-11-12 [Mathematical optimization software] [Algebraic modeling languages]...
12. Whale Optimization Algorithm: Whale Optimization Algorithm (WOA) is a recently proposed (2016) optimization algorithm mimicking the hunting mechanism of humpback whales in nature. Whales are fancy creatures. [81%] 2024-01-10
13. App Store Optimization: App Store Optimization (ASO) es el proceso de optimizar la ficha de una aplicación móvil (como por ejemplo aplicaciones iPhone, iPad, Android o Windows Phone) en una tienda de aplicaciones (como iTunes App Store o Google Play para Android). El ... [81%] 2023-05-26
14. Mathematical Optimization Society: Founded in 1973 (50 years ago) (1973), the MOS has several activities: Publishing journals and a newsletter, organizing and cosponsoring conferences, and awarding prizes. In the 1960s, mathematical programming methods were gaining increasing importance both in mathematical theory and in ... (Organization) [81%] 2023-12-02 [Mathematical optimization]
15. Optimization (role-playing games): REDIRECT Powergaming * From a merge: This is a redirect from a page that was merged into another page. This redirect was kept in order to preserve this page's edit history after its content was merged into the target page ... (Software) [81%] 2024-10-28
16. Optimization of computational algorithms: The choice of an optimal computational algorithm in the solution of applied problems or in the elaboration of systems of standard programs. When solving a concrete problem, the optimal tactic can be not to optimize the solution method, but to ... (Mathematics) [70%] 2024-01-12
17. Computational Optimization and Applications: Computational Optimization and Applications is a peer-reviewed academic journal published by Springer Science+Business Media. The journal focuses on the analysis and development of computational algorithms and modeling technology for optimization. [70%] 2024-01-09 [Mathematics journals] [Academic journals established in 1992]...
18. Structural and Multidisciplinary Optimization: Structural and Multidisciplinary Optimization is a peer-reviewed scientific journal published by Springer Science+Business Media. It is the official journal of the International Society of Structural and Multidisciplinary Optimization. (Engineering) [70%] 2023-10-21 [Engineering journals]
19. Structural and Multidisciplinary Optimization: Structural and Multidisciplinary Optimization is a peer-reviewed scientific journal published by Springer Science+Business Media. It is the official journal of the International Society of Structural and Multidisciplinary Optimization. [70%] 2024-01-10 [English-language journals] [Engineering journals]...
20. Protein Local Optimization Program: Protein Local Optimization Program (PLOP) is computer software, a molecular dynamics simulation package written in the programming language Fortran. It was developed originally by Matthew P. (Software) [70%] 2024-01-09 [Computational chemistry] [Fortran software]...
21. Message Transmission Optimization Mechanism: MTOM is the W3C Message Transmission Optimization Mechanism, a method of efficiently sending binary data to and from Web services. MTOM is usually used with the XOP (XML-binary Optimized Packaging). [70%] 2024-11-11 [World Wide Web Consortium standards]
22. Microsoft Desktop Optimization Pack: Microsoft Desktop Optimization Pack (MDOP) is a suite of utilities for Microsoft Windows customers who have subscribed to Microsoft Software Assurance program. It aims at bringing easier manageability and monitoring of enterprise desktops, emergency recovery, desktop virtualization and application virtualization. [70%] 2025-04-06 [2008 software] [Microsoft software]...
23. Protein Local Optimization Program: Protein Local Optimization Program (PLOP) is computer software, a molecular dynamics simulation package written in the programming language Fortran. It was developed originally by Matthew P. [70%] 2025-04-28 [Computational chemistry] [Fortran software]...
24. European Chapter on Combinatorial Optimization: The European Chapter on Combinatorial Optimization (also, EURO Working Group on Combinatorial Optimization, or EWG ECCO) is a working group whose objective is to promote original research in the field of combinatorial optimization at the European level. ECCO is one ... (Organization) [63%] 2024-01-11 [Combinatorial optimization] [Organizations (Computing)]...
25. Drug Design and Optimization Lab: Drug Design and Optimization Lab better known as "D2OL" was a volunteer computing project with the goal of discovering drug candidates to fight SARS, Anthrax, Smallpox and other diseases and is currently being hosted by The Rotherberg Institute. [63%] 2024-01-09 [Distributed computing projects]
26. European Chapter on Combinatorial Optimization: The European Chapter on Combinatorial Optimization (also, EURO Working Group on Combinatorial Optimization, or EWG ECCO) is a working group whose objective is to promote original research in the field of combinatorial optimization at the European level. ECCO is one ... [63%] 2024-01-09 [Combinatorial optimization] [Working groups]...
27. Optimization of a computational method: Usually the same as optimization of computational algorithms. Sometimes, however, these concepts are treated differently. (Mathematics) [63%] 2024-01-09
28. EURO Journal on Computational Optimization: The EURO Journal on Computational Optimization (EJCO) is a peer-reviewed academic journal that was established in 2012 and is now published by Elsevier. It is an official journal of the Association of European Operational Research Societies, promoting the use ... [63%] 2024-12-01 [Operations research]
29. Optics Software for Layout and Optimization: Optics Software for Layout and Optimization (OSLO) is an optical design program originally developed at the University of Rochester in the 1970s. The first commercial version was produced in 1976 by Sinclair Optics. (Software) [57%] 2023-11-20 [Optical software]
30. Journal of Industrial and Management Optimization: The Journal of Industrial and Management Optimization (JIMO) is an international journal published by American Institute of Mathematical Sciences and sponsored by Department of Mathematics and Statistics, Curtin University of Technology, and Department of Mathematics, Zhejiang University. This journal illustrates ... [57%] 2024-01-10 [Mathematics journals] [Academic journals established in 2005]...
31. Discrete optimization: Discrete optimization is a branch of optimization in applied mathematics and computer science. As opposed to continuous optimization, some or all of the variables used in a discrete mathematical program are restricted to be discrete variables—that is, to assume ... (Branch of mathematical optimization) [100%] 2023-11-22 [Mathematical optimization]
32. Online optimization: Online optimization is a field of optimization theory, more popular in computer science and operations research, that deals with optimization problems having no or incomplete knowledge of the future (online). These kind of problems are denoted as online problems and ... [100%] 2023-11-11 [Mathematical optimization] [Algorithms]...
33. Robust optimization: Robust optimization is a field of mathematical optimization theory that deals with optimization problems in which a certain measure of robustness is sought against uncertainty that can be represented as deterministic variability in the value of the parameters of the ... [100%] 2023-12-20 [Mathematical optimization]
34. Stochastic optimization: Stochastic optimization (SO) methods are optimization methods that generate and use random variables. For stochastic problems, the random variables appear in the formulation of the optimization problem itself, which involves random objective functions or random constraints. [100%] 2023-09-18 [Stochastic optimization] [Monte Carlo methods]...
35. Traffic optimization: Traffic optimization are the methods by which time stopped in road traffic (particularly, at traffic signals) is reduced. Texas Transportation Institute estimates travel delays of between 17–55 hours of delay per person per year relating to congestion on the ... [100%] 2023-10-17 [Road traffic management] [Intelligent transportation systems]...
36. Enterprise optimization: Enterprise Optimization (EO) is "a systematic process of planning, integrating, coordinating and executing all dimensions of enterprise activities for best-possible mission-focused results". It is a sub-field of management science. (Social) [100%] 2023-10-19 [Strategic management]
37. Topology optimization: Topology optimization is a mathematical method that optimizes material layout within a given design space, for a given set of loads, boundary conditions and constraints with the goal of maximizing the performance of the system. Topology optimization is different from ... (Mathematical method for optimizing material layout under given conditions) [100%] 2024-01-26 [Mathematical optimization] [Topology]...
38. Interprocedural optimization: Interprocedural optimization (IPO) is a collection of compiler techniques used in computer programming to improve performance in programs containing many frequently used functions of small or medium length. IPO differs from other compiler optimizations by analyzing the entire program as ... (Computer program optimization method) [100%] 2023-12-17 [Compiler optimizations]
39. Bayesian optimization: Bayesian optimization is a sequential design strategy for global optimization of black-box functions that does not assume any functional forms. It is usually employed to optimize expensive-to-evaluate functions. (Statistical optimization technique) [100%] 2023-10-19 [Sequential methods] [Sequential experiments]...
40. Biconvex optimization: Biconvex optimization is a generalization of convex optimization where the objective function and the constraint set can be biconvex. There are methods that can find the global optimum of these problems. [100%] 2022-10-16 [Convex optimization] [Generalized convexity]...
41. Lyapunov optimization: This article describes Lyapunov optimization for dynamical systems. It gives an example application to optimal control in queueing networks. [100%] 2023-12-26 [Networking algorithms] [Queueing theory]...
42. Hindsight optimization: Hindsight optimisation (HOP) is a computer science technique used in artificial intelligence for analysis of actions which have stochastic results. HOP is used in combination with a deterministic planner. [100%] 2024-01-01 [Artificial intelligence]
43. Combinatorial optimization: Combinatorial optimization is a subfield of mathematical optimization that consists of finding an optimal object from a finite set of objects, where the set of feasible solutions is discrete or can be reduced to a discrete set. Typical combinatorial optimization ... (Subfield of mathematical optimization) [100%] 2024-01-08 [Combinatorial optimization] [Computational complexity theory]...
44. Topology optimization: Topology optimization (TO) is a mathematical method that optimizes material layout within a given design space, for a given set of loads, boundary conditions and constraints with the goal of maximizing the performance of the system. Topology optimization is different ... (Mathematical method for optimizing material layout under given conditions) [100%] 2023-11-03 [Mathematical optimization] [Topology]...
45. Logic optimization: Logic optimization is a process of finding an equivalent representation of the specified logic circuit under one or more specified constraints. This process is a part of a logic synthesis applied in digital electronics and integrated circuit design. (Process in digital electronics and integrated circuit design) [100%] 2023-10-31 [Electronic engineering] [Electronic design]...
46. Inventory optimization: Inventory optimization is a method of balancing capital investment constraints or objectives and service-level goals over a large assortment of stock-keeping units (SKUs) while taking demand and supply volatility into account. Every company has the challenge of matching ... (Finance) [100%] 2023-12-23 [Inventory optimization]
47. Trajectory optimization: Trajectory optimization is the process of designing a trajectory that minimizes (or maximizes) some measure of performance while satisfying a set of constraints. Generally speaking, trajectory optimization is a technique for computing an open-loop solution to an optimal control ... [100%] 2023-07-31 [Ballistics] [Mathematical optimization]...
48. Shape optimization: Shape optimization is part of the field of optimal control theory. The typical problem is to find the shape which is optimal in that it minimizes a certain cost functional while satisfying given constraints. (Problem of finding the optimal shape under given conditions) [100%] 2023-06-16 [Mathematical optimization]
49. Hydrological optimization: Hydrological optimization applies mathematical optimization techniques (such as dynamic programming, linear programming, integer programming, or quadratic programming) to water-related problems. These problems may be for surface water, groundwater, or the combination. [100%] 2023-12-20 [Hydraulics] [Hydraulic engineering]...
50. Demand optimization: Demand optimization is the application of processes and tools to maximize return on sales. This usually involves the application of mathematical modeling techniques using computer software. [100%] 2023-10-19 [Pricing] [Mathematical optimization in business]...
51. Workforce optimization: Workforce optimization (WFO) is a business strategy that integrates business performance considerations with workforce management. The strategy involves automating processes, data visibility, compliance on legislation and solving business problems related to staffing. (Social) [100%] 2024-01-11 [Business software] [Human resource management]...
52. Bilevel optimization: Bilevel optimization is a special kind of optimization where one problem is embedded (nested) within another. The outer optimization task is commonly referred to as the upper-level optimization task, and the inner optimization task is commonly referred to as ... (Quadratic fractional programming problem) [100%] 2023-09-16 [Mathematical optimization]
53. Continuous optimization: Continuous optimization is a branch of optimization in applied mathematics. As opposed to discrete optimization, the variables used in the objective function are required to be continuous variables—that is, to be chosen from a set of real values between ... (Branch of optimization in applied mathematics) [100%] 2023-10-19 [Mathematical optimization]
54. Trajectory optimization: Trajectory optimization is the process of designing a trajectory that minimizes (or maximizes) some measure of performance while satisfying a set of constraints. Generally speaking, trajectory optimization is a technique for computing an open-loop solution to an optimal control ... [100%] 2023-02-14 [Ballistics] [Mathematical optimization]...
55. Workforce optimization: Workforce optimization (WFO) is a business strategy that integrates business performance considerations with workforce management. The strategy involves automating processes, data visibility, compliance on legislation and solving business problems related to staffing. [100%] 2024-01-10 [Business software] [Human resource management]...
56. Hyperparameter optimization: In machine learning, hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process. [100%] 2023-02-25 [Machine learning] [Mathematical optimization]...
57. Capacity optimization: Capacity optimization is a general term for technologies used to improve storage use by shrinking stored data. Primary technologies used for capacity optimization are data deduplication and data compression. [100%] 2023-02-17 [Software optimization]
58. Price optimization: Price optimization is the use of mathematical analysis by a company to determine how customers will respond to different prices for its products and services through different channels. It is also used to determine the prices that the company determines ... (Finance) [100%] 2023-10-18 [Fundamental analysis] [Pricing]...