• MOPSO

  • Referenced in 27 articles [sw18795]
  • MOPSO: a proposal for multiple objective particle swarm optimization. This paper introduces a proposal ... extend the heuristic called ”particle swarm optimization” (PSO) to deal with multiobjective optimization problems ... determine the flight direction of a particle and it maintains previously found nondominated vectors...
  • ABC

  • Referenced in 142 articles [sw10950]
  • optimizing multivariable functions and the results produced by ABC, Genetic Algorithm (GA), Particle Swarm Algorithm...
  • NSPSO

  • Referenced in 12 articles [sw09598]
  • swarm optimizer for multiobjective optimization. This paper introduces a modified PSO, Non-dominated Sorting Particle ... Swarm Optimizer (NSPSO), for better multiobjective optimization. NSPSO extends the basic form ... between a particle’s personal best and its offspring, NSPSO compares all particles’ personal bests ... pressure to propel the swarm population towards the Pareto-optimal front. By using...
  • PSOt

  • Referenced in 10 articles [sw07371]
  • PSOt - a particle swarm optimization toolbox for use with Matlab. Robust Particle Swarm toolbox implementing ... easy to hack. Users of MATLAB’s Optimization Toolbox should feel right at home...
  • Neurofitter

  • Referenced in 8 articles [sw09289]
  • power allows scientists to automate this tuning. Optimization algorithms need two essential components. The first ... algorithms, evolution strategies, differential evolution and particle-swarm optimization. Last, we shortly describe Neurofitter...
  • PSwarm

  • Referenced in 44 articles [sw00742]
  • PSwarm was developed originally for the global optimization of functions without derivatives and where ... coordinate search, the algorithm incorporates a particle swarm scheme for dissemination of points ... algorithm is highly competitive with other global optimization methods based only on function values. PSwarm ... particular, the initial population for particle swarm used in the search step is computed...
  • EMOPSO

  • Referenced in 4 articles [sw14001]
  • EMOPSO: a multi-objective particle swarm optimizer with emphasis on efficiency. This paper presents ... Efficient Multi-Objective Particle Swarm Optimizer (EMOPSO), which is an improved version of a multi ... multi-objective particle swarm optimizer. Our results are compared with respect to the NSGA...
  • Particle Swarm Optimizers

  • Referenced in 3 articles [sw14915]
  • Binary Particle Swarm Optimizers: Toolbox, Derivations, and Mathematical Insights. PSO: Particle Swarm Optimization...
  • D2MOPSO

  • Referenced in 4 articles [sw09958]
  • MOPSO: Multi-Objective Particle Swarm Optimizer Based on Decomposition and Dominance. D 2 MOPSO ... multi-objective particle swarm optimizer that incorporates the dominance concept with the decomposition approach. Whilst...
  • OPT4J

  • Referenced in 4 articles [sw07054]
  • including SPEA2 and NSGA2), differential evolution, particle swarm optimization, and simulated annealing. The benchmarks that...
  • 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...
  • 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...
  • TUALB

  • Referenced in 1 article [sw19723]
  • type assembly lines using modified particle swarm optimization algorithm. In this paper ... algorithm based on the particle swarm optimization algorithm to solve the TUALB problem are proposed...
  • pso

  • Referenced in 1 article [sw19771]
  • package pso: Particle Swarm Optimization. The package provides an implementation of PSO consistent with...
  • Signature verification

  • Referenced in 1 article [sw21908]
  • neural network (NN) approach trained with particle swarm optimization (PSO) algorithm. To test the performance...
  • GGSA

  • Referenced in 1 article [sw18531]
  • population-based metaheuristic designed for solving continuous optimization problems. It has a flexible and well ... Artificial Bee Colony (ABC), the Particle Swarm Optimization (PSO), the Firefly Algorithm (FA), and nine...
  • MOICA

  • Referenced in 1 article [sw08963]
  • algorithm (NSGA-II) and multi-objective particle swarm optimization (MOPSO). Considering the computational time...