In this article, we study the strategy optimization problem of black-box range gate pull-off
(RGPO) jamming. In the black-box RGPO jamming, the jammer does not have extensive …

Particle swarm optimization (PSO) is a popular metaheuristic for deterministic optimization.
Originated in the interpretations of the movement of individuals in a bird flock or fish school …

Particle swarm optimization (PSO) is a population-based algorithm designed to tackle
various optimization problems. However, its performance deteriorates significantly when …

We propose a new particle swarm optimization algorithm for problems where objective
functions are subject to zero-mean, independent, and identically distributed stochastic noise …

Abstract Particle Swarm Optimization (PSO) is a metaheuristic whose performance
deteriorates significantly when utilized on optimization problems subject to noise. On these …

Particle Swarm Optimization (PSO) is a population-based algorithm designed to tackle
various optimization problems. However, its performance deteriorates significantly when …

The standard particle swarm optimization (PSO) algorithm allocates the total available
budget of function evaluations equally and concurrently among the particles of the swarm. In …

Noises are very common in practical optimization problems. It will cause interference on
optimization algorithms and thus makes the algorithms difficult to find a true global extreme …

Particle Swarm Optimization (PSO) is an outstanding evolutionary algorithm designed to
tackle various optimization problems. However, its performance deteriorates significantly in …

Optimization modeling of real-world application problems usually involves noise from
various sources. Noisy optimization imposes challenges to optimization methods since the …