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Metaheuristik

48 metode dalam keluarga ini.

Unggulan

Optimasi Koloni Semut Berbasis AgenAgent-Based Ant Colony Optimization (AB-ACO) models individual ants as autonomous agents that probabilistically construct solutions by following and depositing pheromone trails on Algoritma Genetika Berbasis AgenAn 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 iNSGA-II Berbasis AgenAgent-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 aPencarian Tabu Berbasis AgenAgent-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, Optimasi Koloni SemutAnt Colony Optimization (ACO) is a metaheuristic algorithm introduced by Marco Dorigo and colleagues in the early 1990s that solves combinatorial optimisation problems by simulatinOptimisasi Koloni Lebah Buatan (ABC)Artificial 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

Jalur bacaan

Metode fondasional yang paling banyak dirujuk pada topik ini, dalam urutan pengembangannya — tempat untuk memulai jika Anda baru di sini.

  1. Algoritma Genetik1975oleh John Henry Holland
  2. Annealing Simulasi1983
  3. Algoritma Genetika Multi-Objektif (MOGA)1984oleh Schaffer, J. D. (early MOGA); Goldberg, D. E. (GA foundations)
  4. Tabu Search1989oleh Fred Glover
  5. Optimasi Koloni Semut1992 (foundational thesis); 1997 (Ant Colony System formalization)
  6. Particle Swarm Optimization (PSO)1995
  7. Differential Evolution1997oleh Rainer Storn & Kenneth Price
  8. Optimasi Kawanan Partikel Multi-Objektif (MOPSO)2004oleh Coello Coello, C. A., Pulido, G. T., & Lechuga, M. S.
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Semua metode 48

Optimasi Koloni Semut Berbasis AgenAlgoritma Genetika Berbasis AgenNSGA-II Berbasis AgenPencarian Tabu Berbasis AgenOptimasi Koloni SemutOptimisasi Koloni Lebah Buatan (ABC)Algoritma KelelawarOptimasi Koloni Semut BayesianAlgoritma Genetika BayesianNSGA-II BayesianOptimasi Kawanan Partikel BayesianAnnealing Simulasi BayesianPencarian Tabu BayesianMetaheuristik Pencarian CuckooAlgoritma Genetika DeterministikOptimasi Kawanan Partikel DeterministikAnnealing Simulasian DeterministikDifferential EvolutionAlgoritma Kunang-KunangAlgoritma GenetikPengoptimal Serigala Abu-abuHarmony SearchHiperheuristikMatheuristik: Menggabungkan Pemrograman Matematis dan MetaheuristikAlgoritma MemetikOptimasi Koloni Semut Multi-Objektif (MOACO)Algoritma Genetika Multi-Objektif (MOGA)Optimasi Kawanan Partikel Multi-Objektif (MOPSO)Simulated Annealing Multi-Objektif (MOSA)Pencarian Tabu Multi-objektif (MOTS)NSGA-IINSGA-IIIParticle Swarm Optimization (PSO)Algoritma Genetika Skenario KebijakanPolicy Scenario Particle Swarm OptimizationRobust Ant Colony OptimizationAlgoritma Genetika RobustRobust NSGA-IIOptimasi Partikel Koloni yang KuatSimulated Annealing RobustRobust Tabu SearchSimheuristicsAnnealing SimulasiAlgoritma Genetika StokastikStochastic NSGA-IIStochastic Particle Swarm OptimizationStochastic Tabu SearchTabu Search