
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, Nondominated 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 Paretooptimal 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 particleswarm 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 multiobjective particle swarm optimizer with emphasis on efficiency. This paper presents ... Efficient MultiObjective Particle Swarm Optimizer (EMOPSO), which is an improved version of a multi ... multiobjective 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: MultiObjective Particle Swarm Optimizer Based on Decomposition and Dominance. D 2 MOPSO ... multiobjective 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 quantumbehaved particle swarm optimization and cloud model. We propose ... cloud model and quantumbehaved particle swarm optimization (COCQPSO) to solve the stochastic problem ... cloud model and quantumbehaved particle swarm optimization (FCOCQPSO) in vague sets (IVSs) is more...

FCOCQPSO
 Referenced in 1 article
[sw10260]
 Combinatorial clustering algorithm of quantumbehaved particle swarm optimization and cloud model We propose ... cloud model and quantumbehaved particle swarm optimization (COCQPSO) to solve the stochastic problem ... cloud model and quantumbehaved 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, BiVelocity Discrete Particle Swarm Optimization, and Modified Binary Particle Swarm Optimization...

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

pMEMPSODE
 Referenced in 1 article
[sw18235]
 memetic global optimization. A parallel memetic global optimization algorithm suitable for shared memory multicore systems ... used populationbased 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]
 populationbased 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 (NSGAII) and multiobjective particle swarm optimization (MOPSO). Considering the computational time...