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Metaheuristika

48 meetodit selles perekonnas.

Esiletõstetud

Agent-põhine sipelgkoloonia optimeerimineAgent-Based Ant Colony Optimization (AB-ACO) models individual ants as autonomous agents that probabilistically construct solutions by following and depositing pheromone trails on Agent-Based Genetic AlgorithmAn Agent-Based Genetic Algorithm (ABGA) partitions a genetic algorithm's population across a network of autonomous agents, each maintaining a local sub-population and evolving it iAgent-Based NSGA-IIAgent-based NSGA-II embeds the NSGA-II evolutionary algorithm inside an agent-based simulation loop so that objective values for each candidate solution are determined by running aAgent-Based Tabu SearchAgent-Based Tabu Search (ABTS) embeds the tabu search metaheuristic inside a multi-agent framework where autonomous agents each run independent or cooperating tabu search threads, Sipelgakoloonia optimeerimineAnt Colony Optimization (ACO) is a metaheuristic algorithm introduced by Marco Dorigo and colleagues in the early 1990s that solves combinatorial optimisation problems by simulatinKunstlike mesilaskoloonia (ABC) optimeerimineArtificial Bee Colony (ABC) is a population-based swarm intelligence metaheuristic introduced by Karaboga and Basturk in 2007. It models the cooperative foraging behavior of a hone

Lugemisteekond

Selle teema enim viidatud alusmeetodid nende väljatöötamise järjekorras — koht, kust alustada, kui oled siin uus.

  1. Genetiline algoritm1975autor John Henry Holland
  2. Simulated Annealing1983
  3. Mitme-eesmärgilised geneetilised algoritmid (MOGA)1984autor Schaffer, J. D. (early MOGA); Goldberg, D. E. (GA foundations)
  4. Tabu otsing1989autor Fred Glover
  5. Sipelgakoloonia optimeerimine1992 (foundational thesis); 1997 (Ant Colony System formalization)
  6. Particle Swarm Optimization (PSO)1995
  7. Diferentsiaalne evolutsioon – globaalne stohhastiline optimeerija1997autor Rainer Storn & Kenneth Price
  8. Mitme eesmärgiga osakeste parve optimeerimine (MOPSO)2004autor Coello Coello, C. A., Pulido, G. T., & Lechuga, M. S.
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Kõik meetodid 48

Agent-põhine sipelgkoloonia optimeerimineAgent-Based Genetic AlgorithmAgent-Based NSGA-IIAgent-Based Tabu SearchSipelgakoloonia optimeerimineKunstlike mesilaskoloonia (ABC) optimeerimineBat AlgorithmBayesian Ant Colony OptimizationBayesilik geneetiline algoritmBayesian NSGA-IIBayesian Particle Swarm OptimizationBayesian Simulated AnnealingBayesian Tabu SearchKäguotsingu (CS)Deterministlik geneetiline algoritmDeterministlik osakese parve optimeerimineDeterministlik simuleeritud lõõmutamineDiferentsiaalne evolutsioon – globaalne stohhastiline optimeerijaAnnetus: Firefly AlgorithmGenetiline algoritmGrey Wolf OptimizerHarmony SearchHüperheuristikadMatheuristicsMemetic AlgorithmMulti-Objective Ant Colony Optimization (MOACO)Mitme-eesmärgilised geneetilised algoritmid (MOGA)Mitme eesmärgiga osakeste parve optimeerimine (MOPSO)Multi-Objective Simulated Annealing (MOSA)Mitme-eesmärgilise Tabu Otsingu (MOTS)NSGA-IINSGA-IIIParticle Swarm Optimization (PSO)Policy Scenario Genetic AlgorithmPoliitikastsenaariumide osakeste parve optimeerimineRobust Ant Colony OptimizationRobustne geneetiline algoritmRobust NSGA-IIRobustne partiklisalvoptimiseerimineRobustne simuleeritud karastamineRobust Tabu SearchSimheuristicsSimulated AnnealingStohhastiline geneetiline algoritmStochastic NSGA-IIStohhastiline osakeseparve optimeerimineStohhastiline TabuotsingTabu otsing