• JADE

  • Referenced in 125 articles [sw24855]
  • parameter settings and the characteristics of optimization problems. It is thus helpful to improve ... adaptive DE algorithms, the canonical particle swarm optimization, and other evolutionary algorithms from the literature...
  • MOPSO

  • Referenced in 48 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 259 articles [sw10950]
  • optimizing multivariable functions and the results produced by ABC, Genetic Algorithm (GA), Particle Swarm Algorithm...
  • SMPSO

  • Referenced in 22 articles [sw23795]
  • Multi-objective particle swarm optimizers: An experimental comparison. Particle Swarm Optimization (PSO) has received increasing ... algorithms based on Multi-Objective Particle Swarm Optimizers (MOPSOs) can be found in the specialized...
  • NSPSO

  • Referenced in 17 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...
  • MCPSO

  • Referenced in 16 articles [sw30149]
  • MCPSO: a multi-swarm cooperative particle swarm optimizer. A new optimization algorithm -- MCPSO, multi-swarm ... cooperative particle swarm optimizer, inspired by the phenomenon of symbiosis in natural ecosystems. MCPSO ... master swarm and several slave swarms. The slave swarms execute a single ... variants independently to maintain the diversity of particles, while the master swarm evolves based...
  • PSOt

  • Referenced in 11 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 12 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...
  • TUALB

  • Referenced in 8 articles [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...
  • PSwarm

  • Referenced in 61 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...
  • pso

  • Referenced in 8 articles [sw19771]
  • package pso: Particle Swarm Optimization. The package provides an implementation of PSO consistent with...
  • 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...
  • OPT4J

  • Referenced in 6 articles [sw07054]
  • including SPEA2 and NSGA2), differential evolution, particle swarm optimization, and simulated annealing. The benchmarks that...
  • 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...
  • SODOCK

  • Referenced in 4 articles [sw32098]
  • SODOCK: swarm optimization for highly flexible protein-ligand docking. Protein-ligand docking can be formulated ... parameter optimization problem associated with an accurate scoring function, which aims to identify the translation ... ligand with the lowest energy. The parameter optimization problem for highly flexible ligands with many ... novel optimization algorithm SODOCK based on particle swarm optimization (PSO) for solving flexible protein-ligand...
  • 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...
  • GGSA

  • Referenced in 3 articles [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...