• PSOFuzzySVM-TMH

  • Referenced in 3 articles [sw27664]
  • eradicated using an optimization selection technique, particle swarm optimization, from both feature spaces. Finally...
  • mopsocd

  • Referenced in 2 articles [sw28712]
  • Particle Swarm Optimization with Crowding Distance. A multi-objective optimization solver based on particle swarm...
  • PSO Toolbox

  • Referenced in 3 articles [sw21988]
  • Particle Swarm (PSO) Toolbox. Particle Swarm Optimization toolkit (with GUI) - Allows you to implement...
  • EvoloPy

  • Referenced in 3 articles [sw29035]
  • optimizers that have been implemented includes Particle Swarm Optimization (PSO), Multi-Verse Optimizer (MVO), Grey...
  • DSLC-FOA

  • Referenced in 3 articles [sw31874]
  • Based on comparisons with genetic algorithm, particle swarm optimization, FOA, LGMS-FOA, and chaotic...
  • automl

  • Referenced in 3 articles [sw32865]
  • common tricks on Deep Learning and Particle Swarm Optimization...
  • PyBioNetFit

  • Referenced in 3 articles [sw34668]
  • parallelized metaheuristic algorithms (differential evolution, particle swarm optimization, scatter search) for parameter optimization. In addition...
  • GEPSO

  • Referenced in 1 article [sw37529]
  • GEPSO: a new generalized particle swarm optimization algorithm. Particle Swarm Optimization (PSO) algorithm ... that has been utilized as a powerful optimization tool in a wide range of applications ... algorithm. This paper introduces the Generalized Particle Swarm Optimization (GEPSO) algorithm as a new version ... interrelations of particles and their knowledge sharing, increase variety in the swarm, and provide...
  • HiPPSO

  • Referenced in 1 article [sw32411]
  • High Precision Particle Swarm Optimization Algorithm (HiPPSO) . Particle Swarm Optimization (PSO) is a nature-inspired ... meta-heuristic adaptable to continuous optimization problems. To avoid numerical instabilities or artifacts ... with high precision. Our High Precision Particle Swarm Optimization (HiPPSO) software realizes this demand. Additionally...
  • COCQPSO

  • Referenced in 1 article [sw10247]
  • Combinatorial clustering algorithm of quantum-behaved particle swarm optimization and cloud model. We propose ... cloud model and quantum-behaved particle swarm optimization (COCQPSO) to solve the stochastic problem ... cloud model and quantum-behaved particle swarm optimization (FCOCQPSO) in vague sets (IVSs) is more...
  • FCOCQPSO

  • Referenced in 1 article [sw10260]
  • Combinatorial clustering algorithm of quantum-behaved particle swarm optimization and cloud model We propose ... cloud model and quantum-behaved particle swarm optimization (COCQPSO) to solve the stochastic problem ... cloud model and quantum-behaved particle swarm optimization (FCOCQPSO) in vague sets (IVSs) is more...
  • DHLO

  • Referenced in 1 article [sw18810]
  • this paper proposes a Diverse Human Learning Optimization algorithm (DHLO), into which the Gaussian distribution ... Binary Differential Evolution, Simplified Binary Artificial Fish Swarm Algorithm, Adaptive Binary Harmony Search, Binary Gravitational ... Artificial Bee Colony, Bi-Velocity Discrete Particle Swarm Optimization, and Modified Binary Particle Swarm Optimization...
  • MOPSO-II

  • Referenced in 1 article [sw10469]
  • improved multi-objective particle swarm optimization algorithm --- MOPSO-II. This paper proposes an improved multi ... objective particle swarm optimization algorithm (MOPSO-II for short). In this algorithm, a disturbance vector ... added to each particle to enhance the ability of escaping from local optima. Secondly...
  • MDPCluster

  • Referenced in 1 article [sw32510]
  • nodes and then a Modified Discrete Particle Swarm Optimization algorithm, called MDPSO is leveraged ... through maximizing modularity measure. MDPSO discretizes Particle Swarm Optimization using the idea of transmission tendency...
  • p-MEMPSODE

  • Referenced in 1 article [sw18235]
  • memetic global optimization. A parallel memetic global optimization algorithm suitable for shared memory multicore systems ... used population-based stochastic algorithms, namely Particle Swarm Optimization and Differential Evolution, with two efficient ... first introduced as MEMPSODE (MEMetic Particle Swarm Optimization and Differential Evolution) and published...
  • PSPSO

  • Referenced in 1 article [sw39417]
  • package for parameters selection using particle swarm optimization. This paper reports a high-level python ... learning algorithms parameters by using the particle swarm optimization (PSO) algorithm named PSPSO. The first...
  • PBMDR

  • Referenced in 1 article [sw36892]
  • PBMDR: a particle swarm optimization-based multifactor dimensionality reduction for the detection of multilocus interactions ... geneticists. In this study, a particle swarm optimization (PSO)-based multifactor dimensionality reduction (MDR) approach...
  • ArFlock

  • Referenced in 1 article [sw33294]
  • Library ArFlock: massively parallel particle swarm optimization...
  • ACORD

  • Referenced in 1 article [sw03097]
  • such as Grammatical Swarm (based on Particle Swarm Optimization) and Grammatical Evolution (based on Genetic...
  • JECO

  • Referenced in 1 article [sw33102]
  • algorithm, genetic programming, evolutionary mapping methods, particle swarm optimization, ant colonies...