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1. Quantum optimization algorithms: Quantum optimization algorithms are quantum algorithms that are used to solve optimization problems. Mathematical optimization deals with finding the best solution to a problem (according to some criteria) from a set of possible solutions. (Optimization algorithms using quantum computing) [100%] 2022-10-17 [Quantum algorithms]
2. Quantum optimization algorithms: Quantum optimization algorithms are quantum algorithms that are used to solve optimization problems. Mathematical optimization deals with finding the best solution to a problem (according to some criteria) from a set of possible solutions. (Optimization algorithms using quantum computing) [100%] 2023-12-13 [Quantum algorithms]
3. Rider optimization algorithm: The rider optimization algorithm (ROA) is devised based on a novel computing method, namely fictional computing that undergoes series of process to solve the issues of optimizations using imaginary facts and notions. ROA relies on the groups of rider that ... [94%] 2023-09-14 [Metaheuristics]
4. 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. [94%] 2024-01-10
5. Mayfly optimization algorithm: In mathematical optimization, computer science and operations research, the Mayfly Optimization Algorithm (MA) was developed by Zervoudakis K. and Dr. [94%] 2023-09-22 [Optimization algorithms and methods]
6. Rider optimization algorithm: The rider optimization algorithm (ROA) is devised based on a novel computing method, namely fictional computing that undergoes series of process to solve the issues of optimizations using imaginary facts and notions. ROA relies on the groups of rider that ... [94%] 2023-02-17 [Metaheuristics]
7. Spiral optimization algorithm: In mathematics, the spiral optimization (SPO) algorithm is a metaheuristic inspired by spiral phenomena in nature. The first SPO algorithm was proposed for two-dimensional unconstrained optimization based on two-dimensional spiral models. (Optimization algorithm) [94%] 2024-09-26 [Nature-inspired metaheuristics] [Collective intelligence]...
8. 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) [91%] 2023-07-27
9. 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) [91%] 2023-06-12
10. 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) [91%] 2024-10-28
11. 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) [86%] 2024-01-12
12. Ant colony optimization algorithms: In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems that can be reduced to finding good paths through graphs. Artificial ants represent multi-agent methods inspired by the behavior ... (Optimization algorithm) [86%] 2025-05-31 [Articles which contain graphical timelines] [Nature-inspired metaheuristics]...
13. Optimisation: Optimization is the process of finding extrema (maximum or minimum values) of a particular function. In this guide we will use differentiation to determine these extrema of functions of one or more variables. [83%] 2024-01-26 [Calculus]
14. Optimisation: Optimization is the process of finding extrema (maximum or minimum values) of a particular function. In this guide we will use differentiation to determine these extrema of functions of one or more variables. [83%] 2024-01-09 [Calculus]
15. Algorithms: An algorithm is, in layman's terms, a method to go about achieving a particular task. Usually, this task is meant to be performed by a computer or other machine, like calculations and data analysis; however, its definition can be ... [81%] 2024-01-03 [Algorithms]
16. Algorithme: Un algorithme est une suite finie et non ambiguë d'instructions et d’opérations permettant de résoudre une classe de problèmes. Le domaine qui étudie les algorithmes est appelé l'algorithmique. [73%] 2025-03-07
17. Algorithm: In mathematics and computer science, an algorithm (/ˈælɡərɪðəm/ (listen)) is a finite sequence of rigorous instructions, typically used to solve a class of specific problems or to perform a computation. Algorithms are used as specifications for performing calculations and data ... (Sequence of operations for a task) [72%] 2023-11-13 [Algorithms] [Mathematical logic]...
18. Algorithm: An algorithm is a procedure for carrying out a task which, given an initial state, will terminate in a clearly defined end-state. It can be thought of as a recipe, or a step-by-step method, so that in ... [72%] 2023-02-26 [Mathematics]
19. Algorithm: Detailed instructions defining a computational process (which is then said to be algorithmic), which begins with an arbitrary input (out of a certain number of inputs which are possible for the given algorithm), and with instructions aimed at obtaining a ... (Mathematics) [72%] 2023-10-25
20. Algorithm: In mathematics or computer science, an algorithm is a sequence of steps for one particular method of solving a problem, similar to the instructions of a recipe when cooking. The word is derived from the name of al-Khwarizmi, a ... [72%] 2023-08-16