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...

swarms, drawing conceptual parallels to particle swarm optimization by utilizing global information to influence local agent dynamics. Particle swarm...

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

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...

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...

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

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...

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

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

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

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

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

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

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

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

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

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

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...

algorithms based on swarm intelligence are particle swarm optimization and ant colony optimization. Both are metaheuristic optimization algorithms that can...

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

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...

solubility is essential to manufacturing polymers, but models using particle swarm optimization (PSO) tend to converge to the wrong points. An improved version...

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

evolutionary) optimization techniques may be used to seek a good set of weights, such as simulated annealing or particle swarm optimization. The independently...

algorithm Particle swarm optimization Harmony search ODMA Random search Grid search Simulated annealing Direct search IOSO (Indirect Optimization based on...