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Mathematische Programmierung

58 Methoden in dieser Familie.

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African Vultures Optimization AlgorithmThe African Vultures Optimization Algorithm (AVOA) is a metaheuristic algorithm introduced by Moghdani and Salimifard in 2020, inspired by the search and scavenging behavior of AfrAgent-based dynamic programmingAgent-based dynamic programming (ABDP) embeds Bellman's dynamic programming framework within individual agents of an agent-based model, enabling each agent to solve sequential, mulAgentenbasierte ZielprogrammierungAgent-Based Goal Programming (ABGP) integrates agent-based simulation with goal programming optimization to model systems where multiple autonomous decision-makers pursue competingAgentenbasierte Ganzzahlige ProgrammierungAgent-Based Integer Programming (ABIP) couples the behavioral richness of agent-based modeling with the combinatorial rigor of integer programming. Individual agents pursue local oAquila OptimizerThe Aquila Optimizer (AO) is a nature-inspired metaheuristic algorithm presented by Abualigah et al. in 2021, modeled after the hunting behavior and sensory abilities of golden eagArithmetischer OptimierungsalgorithmusThe Arithmetic Optimization Algorithm (AOA) is a metaheuristic optimization approach introduced by Abualigah et al. in 2020 that leverages mathematical operators (multiplication, d

Reading path

This topic's most-referenced foundational methods, in the order they were developed — a place to start if you're new here.

  1. Lineare Programmierung1947by George B. Dantzig
  2. Stochastische Lineare Programmierung1955by George B. Dantzig
  3. Dynamische Programmierung1957by Richard Bellman
  4. Stochastic Dynamic Programming1957by Bellman, R.; formalized for stochastic settings by Puterman, M. L.
  5. Ganzzahlige Programmierung1958by Ralph Gomory (cutting planes, 1958); land-and-doig branch-and-bound (1960)
  6. Mixed-Integer Programming1958–1960by Ralph Gomory (branch-and-bound cuts, 1958); Land & Doig (branch-and-bound, 1960)
  7. Bayesian Optimization1975 (foundational); 2012 (ML standard)by Mockus (1975); popularised for ML by Snoek, Larochelle & Adams (2012)
  8. Slime Mould Algorithm2020by Shimin Li
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Alle Methoden 58

African Vultures Optimization AlgorithmAgent-based dynamic programmingAgentenbasierte ZielprogrammierungAgentenbasierte Ganzzahlige ProgrammierungAquila OptimizerArithmetischer OptimierungsalgorithmusBayesian Dynamic ProgrammingBayesianische ZielprogrammierungBayesian Integer ProgrammingBayesian Linear Programming (BLP)Bayesian Mixed-Integer ProgrammingBayesian OptimizationBilevel-Optimierung (Leader-Follower)Branch and BoundConstraint-ProgrammierungKonvexe OptimierungDeterministische Dynamische ProgrammierungDeterministisches Ganzzahlige ProgrammierungLineare Programmierung mit deterministischen ParameternDeterministische Gemischt-Ganzzahlige ProgrammierungDwarf Mongoose OptimizationDynamische ProgrammierungEvolutionary Strategy (CMA-ES)Hamilton-Jacobi-Bellman-GleichungHarris Hawks OptimierungHonigdachs-AlgorithmusGanzzahlige ProgrammierungJellyfish Search OptimizerLineare ProgrammierungMixed-Integer ProgrammingMulti-Objective Dynamic ProgrammingMehrziel-ZielprogrammierungMehrkriterielle Lineare Programmierung (MOLP)Multi-Objective Mixed-Integer ProgrammingNichtlineare OptimierungPolicy Scenario Dynamic ProgrammingPolicy Scenario Goal ProgrammingGanzzahlige Programmierung für PolicieszenarienQuadratische Programmierung (QP)Robust Goal ProgrammingRobuste ganzzahlige ProgrammierungRobuste lineare ProgrammierungRobuste gemischt-ganzzahlige ProgrammierungRobuste Optimierung – Worst-Case Mathematische ProgrammierungRunge-Kutta-OptimiererSimplex-AlgorithmusSlime Mould AlgorithmStochastic Dynamic ProgrammingStochastisches ZielprogrammStochastische ganzzahlige ProgrammierungStochastische Lineare ProgrammierungStochastische Gemischt-Ganzzahlige ProgrammierungStochastische OptimierungOptimierung mittels SurrogatenUnit CommitmentVariable Neighborhood Search (VNS)Das Vehicle Routing Problem (VRP)Waloptimierungsalgorithmus (WOA)