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Metaheuristik

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Agent-Based Ant Colony OptimizationAgent-Based Ant Colony Optimization (AB-ACO) models individual ants as autonomous agents that probabilistically construct solutions by following and depositing pheromone trails on Algoritma Genetik Berasaskan 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 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 aPencarian Tabu Berasaskan 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, Ant Colony OptimizationAnt 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

Laluan bacaan

Kaedah asas yang paling banyak dirujuk bagi topik ini, mengikut susunan ia dibangunkan — tempat untuk bermula jika anda baharu di sini.

  1. Algoritma Genetik1975oleh John Henry Holland
  2. Simulated Annealing1983
  3. Algoritma Genetik Multi-Objektif (MOGA)1984oleh Schaffer, J. D. (early MOGA); Goldberg, D. E. (GA foundations)
  4. Tabu Search1989oleh Fred Glover
  5. Ant Colony Optimization1992 (foundational thesis); 1997 (Ant Colony System formalization)
  6. Particle Swarm Optimization (PSO)1995
  7. Differential Evolution1997oleh Rainer Storn & Kenneth Price
  8. Pengoptimuman Zarah Pelbagai Objektif (MOPSO)2004oleh Coello Coello, C. A., Pulido, G. T., & Lechuga, M. S.
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Agent-Based Ant Colony OptimizationAlgoritma Genetik Berasaskan AgenAgent-Based NSGA-IIPencarian Tabu Berasaskan AgenAnt Colony OptimizationOptimisasi Koloni Lebah Buatan (ABC)Algoritma KelawarBayesian Ant Colony OptimizationAlgoritma Genetik BayesianBayesian NSGA-IIBayesian Particle Swarm OptimizationBayesian Simulated AnnealingPencarian Tabu BayesianCuckoo SearchAlgoritma Genetik DeterministikDeterministic Particle Swarm OptimizationAnnealing Simulat DeterministikDifferential EvolutionAlgoritma FireflyAlgoritma GenetikGrey Wolf OptimizerHarmony SearchHiper-heuristikMatheuristics: Penggabungan Pengaturcaraan Matematik dan MetaheuristikAlgoritma MemetikMulti-Objective Ant Colony Optimization (MOACO)Algoritma Genetik Multi-Objektif (MOGA)Pengoptimuman Zarah Pelbagai Objektif (MOPSO)Simulated Annealing Pelbagai Objektif (MOSA)Multi-objective Tabu Search (MOTS)NSGA-IINSGA-IIIParticle Swarm Optimization (PSO)Algoritma Genetik Skenario Dasar DasarPengoptimuman Kawanan Zarah Senario PolisiOptimasi Koloni Semut TeguhAlgoritma Genetik TeguhNSGA-II TeguhRobust Particle Swarm OptimizationSimulated Annealing RobustRobust Tabu SearchSimheuristicsSimulated AnnealingAlgoritma Genetik StokastikNSGA-II StokastikStochastic Particle Swarm OptimizationPencarian Tabu StokastikTabu Search