In computational science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate...

Evolutionary algorithms (EA), particle swarm optimization (PSO), differential evolution (DE), ant colony optimization (ACO) and their variants dominate...

Multi-swarm optimization is a variant of particle swarm optimization (PSO) based on the use of multiple sub-swarms instead of one (standard) swarm. The...

the estimation of distribution algorithms. Particle swarm optimization is a computational method that optimizes a problem by iteratively trying to improve...

Eberhart describes some philosophical aspects of particle swarm optimization applications and swarm intelligence. An extensive survey of applications...

Gaussian adaptation, hill climbing, and swarm intelligence (e.g.: ant colony optimization, particle swarm optimization) and methods based on integer linear...

information theory was introduced and further developed. Meta-optimization of particle swarm optimization was done by Meissner et al., Pedersen and Chipperfield...

differential evolution (DE), particle swarm optimization (PSO), and other methods. Attempts have been made to solve multi-modal optimization in all these realms...

comparison of two evolutionary algorithms in portfolio optimization: Genetic and particle swarm optimization". 2010 2nd IEEE International Conference on Information...

particle swarm optimization metaheuristic and "novel" metaheuristics like the firefly algorithm, the fruit fly optimization algorithm, the fish swarm...

self-organized agents in a population or swarm. Ant colony optimization, particle swarm optimization, social cognitive optimization and bacterial foraging algorithm...

Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute...

immune systems. Particle swarm optimization (PSO) A swarm intelligence method. Intelligent water drops (IWD) A swarm-based optimization algorithm based...

from the original on 4 October 2020. Retrieved 21 April 2009. "Riders on a swarm". The Economist. 12 August 2010. Archived from the original on 25 March...

genetic algorithm, genetic programming, evolution strategies, particle swarm optimization, differential evolution, traffic flow and estimation of distribution...

Symphony Orchestra Perth Symphony Orchestra Particle swarm optimization, a swarm intelligence optimization technique Password Settings Object, used in...

psychologist, best known as an originator and researcher of particle swarm optimization. The first papers on the topic, by Kennedy and Russell C. Eberhart...

generally divided into two subfields: discrete optimization and continuous optimization. Optimization problems arise in all quantitative disciplines from...

approach to fitting the parameters of Bollinger Bands using particle swarm optimization method. Their results indicated that by tuning the parameters...

this sense, CBO is comparable to ant colony optimization, wind driven optimization, particle swarm optimization or Simulated annealing. Consider an ensemble...

Derivative-free optimization (sometimes referred to as blackbox optimization) is a discipline in mathematical optimization that does not use derivative...

annealing, expectation–maximization, non-parametric methods and particle swarm optimization are other learning algorithms. Convergent recursion is a learning...

also used in other metaheuristics, such as ant colony optimization or particle swarm optimization. In the field of EAs, each candidate solution, also called...

determine the landmark with a certain accuracy. In the particle swarm optimization method, there are particles that search for landmarks, and each of them uses...

Vincent, Jonathan; Anyakoha, Chukwudi (July 2007). "A review of particle swarm optimization. Part I: background and development". Natural Computing. 6 (4):...

algorithms (e.g., particle swarm optimization, social cognitive optimization, multi-swarm optimization and ant colony optimization) Memetic algorithms...

global optimization and performance of repulsive particle swarm method". MPRA Paper. Townsend, Alex (January 2014). "Constrained optimization in Chebfun"...

Stochastic optimization is an umbrella set of methods that includes simulated annealing and numerous other approaches. Particle swarm optimization is an algorithm...

"Source mask optimization for extreme-ultraviolet lithography based on thick mask model and social learning particle swarm optimization algorithm". Optics...

Evolutionary computation Evolutionary multi-modal optimization Particle swarm optimization Swarm intelligence Bees algorithm Fish School Search List...