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Matematičko programiranje

58 metoda u ovoj porodici.

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Algoritam optimizacije afričkih lešinaraThe African Vultures Optimization Algorithm (AVOA) is a metaheuristic algorithm introduced by Moghdani and Salimifard in 2020, inspired by the search and scavenging behavior of AfrAgentno-zasnovano dinamičko programiranjeAgent-based dynamic programming (ABDP) embeds Bellman's dynamic programming framework within individual agents of an agent-based model, enabling each agent to solve sequential, mulAgent-Based Goal ProgrammingAgent-Based Goal Programming (ABGP) integrates agent-based simulation with goal programming optimization to model systems where multiple autonomous decision-makers pursue competingAgent-Based Integer ProgrammingAgent-Based Integer Programming (ABIP) couples the behavioral richness of agent-based modeling with the combinatorial rigor of integer programming. Individual agents pursue local oOptimizator AquilaThe 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 eagАритметички алгоритам оптимизацијеThe 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. Linearno programiranje1947by George B. Dantzig
  2. Stohastično linearno programiranje1955by George B. Dantzig
  3. Dinamičko programiranje1957by Richard Bellman
  4. Stochastic Dynamic Programming1957by Bellman, R.; formalized for stochastic settings by Puterman, M. L.
  5. Целобројно програмирање1958by Ralph Gomory (cutting planes, 1958); land-and-doig branch-and-bound (1960)
  6. Mješovito cjelobrojno programiranje1958–1960by Ralph Gomory (branch-and-bound cuts, 1958); Land & Doig (branch-and-bound, 1960)
  7. Bajezijanska optimizacija1975 (foundational); 2012 (ML standard)by Mockus (1975); popularised for ML by Snoek, Larochelle & Adams (2012)
  8. Алгоритам слузавог калупа2020by Shimin Li
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Algoritam optimizacije afričkih lešinaraAgentno-zasnovano dinamičko programiranjeAgent-Based Goal ProgrammingAgent-Based Integer ProgrammingOptimizator AquilaАритметички алгоритам оптимизацијеБајесовско динамичко програмирањеBajezijansko programiranje ciljevaBayesian Integer ProgrammingBayesian Linear ProgrammingBayesian Mixed-Integer ProgrammingBajezijanska optimizacijaBilevel Optimization (Lider-Sledbenik)Grananje i vezivanjeProgramiranje sa ograničenjimaKonveksna optimizacijaDeterminističko dinamičko programiranjeDeterministicko programiranje celobrojnih promenljivihDeterministicko linearno programiranjeДетерминистичко програмирање мешовитих целих бројеваOptimizacija patuljastih mungosaDinamičko programiranjeEvoluciona strategija (CMA-ES)Jednačina Hamiltona-Jakobija-BelmanaOptimizacija pomoću Harris jastrebovaAlgoritam medonosnog jazavcaЦелобројно програмирањеJellyfish Search OptimizerLinearno programiranjeMješovito cjelobrojno programiranjeViшeцiљno dinamiчкo programiraњeVišeciljna programacija ciljevaVišeciljno linearno programiranje (MOLP)Višekriterijumsko mešovito-celobrojno programiranjeNelinearno programiranjeDinamika programiranja scenarija politikeProgramsko programiranje ciljeva za scenarija politikeProgramsko programiranje sa celobrojnim promenljivim za scenarijeКвадратно програмирање (КП)Robusno programiranje ciljevaRobust Integer ProgrammingRobusno linearno programiranjeRobusno programiranje sa mešovitim celobrojnim promenljivamaRobustna optimizacijaOptimizator Runge-KuttaСимплекс методАлгоритам слузавог калупаStochastic Dynamic ProgrammingStohastičko programiranje ciljevaStohastičko celobrojno programiranjeStohastično linearno programiranjeStochastic Mixed-Integer ProgrammingStochastic OptimizationOptimizacija zasnovana na surogatimaUnit CommitmentPretraga promenljivih okolina (VNS)Problem trasiranja vozila (VRP)Algoritam optimizacije kitova (WOA)