• JADE

  • Referenced in 146 articles [sw24855]
  • relationship between the parameter settings and the characteristics of optimization problems. It is thus helpful ... adaptive DE algorithms, the canonical particle swarm optimization, and other evolutionary algorithms from the literature ... shows that there is no fixed control parameter setting suitable for various problems or even...
  • ParticleScattering

  • Referenced in 1 article [sw36017]
  • dimensional particles, as well as optimizing particle parameters for various applications. Such problems naturally arise...
  • HumanEva

  • Referenced in 25 articles [sw15489]
  • framework with optimization in the form of Sequential Importance Resampling and Annealed Particle Filtering ... human motion and the effects of algorithm parameters. Our experiments suggest that image observation models...
  • SUPG

  • Referenced in 31 articles [sw08373]
  • problems. Electrophoresis is the motion of charged particles relative to the surrounding liquid under ... electrophoretic separations and the optimization of various parameters of the electrophoresis devices and their performance...
  • NSPSO

  • Referenced in 17 articles [sw09598]
  • best and its offspring, NSPSO compares all particles’ personal bests and their offspring ... Pareto-optimal front. By using the non-dominated sorting concept and two parameter-free niching...
  • PSPSO

  • Referenced in 1 article [sw39417]
  • PSPSO: A package for parameters selection using particle swarm optimization. This paper reports a high ... machine learning algorithms parameters by using the particle swarm optimization (PSO) algorithm named PSPSO...
  • PyBioNetFit

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

  • Referenced in 3 articles [sw10960]
  • particle swarm inspired multi-elitist artificial bee colony algorithm for real-parameter optimization. The Artificial ... honey bee colonies. In this work, a particle swarm inspired multi-elitist ABC algorithm named ... proposed and applied for real-parameter optimization. In this modified version, the global best solution...
  • RELION

  • Referenced in 19 articles [sw22792]
  • structure determination. RELION, for REgularized LIkelihood OptimizatioN, is an open-source computer program ... refinement of macromolecular structures by single-particle analysis of electron cryo-microscopy (cryo-EM) data ... user expertise for the tuning of parameters, RELION uses a Bayesian approach to infer parameters...
  • Neurofitter

  • Referenced in 14 articles [sw09289]
  • power allows scientists to automate this tuning. Optimization algorithms need two essential components. The first ... model with a given set of parameters and the data. This error function or fitness ... parameter sets possible. The second component is a search algorithm that explores the parameter space ... algorithms, evolution strategies, differential evolution and particle-swarm optimization. Last, we shortly describe Neurofitter...
  • SODOCK

  • Referenced in 4 articles [sw32098]
  • these parameters. This investigation presents a novel optimization algorithm SODOCK based on particle swarm optimization ... flexible docking problems with high correlations among parameters. This investigation also compared SODOCK with four...
  • automl

  • Referenced in 3 articles [sw32865]
  • gradient descent or metaheuristic, using automatic hyper parameters tuning and custom cost function ... common tricks on Deep Learning and Particle Swarm Optimization...
  • MDSimAid

  • Referenced in 2 articles [sw30363]
  • parameter optimization in fast electrostatic algorithms. MDSIMAID is a recommender system that optimizes parallel Particle ... multigrid (MG) summation fast electrostatic solvers. MDSIMAID optimizes the running time or parallel scalability ... time constrained search on the parameter space of each method starting from semiempirical performance models...
  • PyIT2FLS

  • Referenced in 1 article [sw31248]
  • example, the Particle Swarm Optimization (PSO) algorithm is used for determining system parameters while minimizing...
  • GEPSO

  • Referenced in 1 article [sw37529]
  • generalized particle swarm optimization algorithm. Particle Swarm Optimization (PSO) algorithm is a nature-inspired meta ... that has been utilized as a powerful optimization tool in a wide range of applications ... flexibility of its parameters and concepts, PSO has appeared in many variants, probably more than ... algorithm. This paper introduces the Generalized Particle Swarm Optimization (GEPSO) algorithm as a new version...
  • TINKER

  • Referenced in 11 articles [sw04095]
  • polarizable atomic multipole force field. Parameter sets for other widely-used force fields are under ... Boltzmann calculations, efficient truncated Newton (TNCG) local optimization, surface areas and volumes with derivatives, simple ... lists and splined spherical energy cutoff methods, particle mesh Ewald (PME) summation for partial charges...
  • EMOPSO

  • Referenced in 4 articles [sw14001]
  • paper presents the Efficient Multi-Objective Particle Swarm Optimizer (EMOPSO), which is an improved version ... constraint-handling scheme, and the study of parameters that led us to propose a self ... multi-objective particle swarm optimizer. Our results are compared with respect to the NSGA...
  • Qn3d

  • Referenced in 5 articles [sw18099]
  • discuss many of the major factors in optimization that are dependent upon features ... presented in three phases. First, single particle motion is analyzed. Next the normal modes ... suited to model plasma phenomena in the parameter regimes of interest. Lastly, two cases...
  • COCQPSO

  • Referenced in 1 article [sw10247]
  • cloud model and quantum-behaved particle swarm optimization (COCQPSO) to solve the stochastic problem ... local search method. We are setting the parameters of COCQPSO based on the design ... fuzzy combinatorial optimization algorithm of cloud model and quantum-behaved particle swarm optimization (FCOCQPSO...
  • FCOCQPSO

  • Referenced in 1 article [sw10260]
  • cloud model and quantum-behaved particle swarm optimization (COCQPSO) to solve the stochastic problem ... local search method. We are setting the parameters of COCQPSO based on the design ... fuzzy combinatorial optimization algorithm of cloud model and quantum-behaved particle swarm optimization (FCOCQPSO...