A stochastic simulation optimization-based range gate pull-off jamming method

Y Wang, T Zhang, L Kong, Z Ma - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Range gate pull-off (RGPO) jamming is an electronic countermeasure widely used to fool
radar tracking systems. Nevertheless, the research on its strategy optimization has only …

Dual-environmental particle swarm optimizer in noisy and noise-free environments

J Zhang, X Zhu, Y Wang… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Particle swarm optimizer (PSO) is a populationbased optimization technique applied to a
wide range of problems. In the literature, many PSO variants have been proposed to deal …

Opposition-based hybrid strategy for particle swarm optimization in noisy environments

Q Kang, C Xiong, M Zhou, L Meng - IEEE Access, 2018 - ieeexplore.ieee.org
Particle swarm optimization (PSO) is a population-based algorithm designed to tackle
various optimization problems. However, its performance deteriorates significantly when …

Population statistics for particle swarm optimization: Resampling methods in noisy optimization problems

J Rada-Vilela, M Johnston, M Zhang - Swarm and Evolutionary …, 2014 - Elsevier
Abstract Particle Swarm Optimization (PSO) is a metaheuristic whose performance
deteriorates significantly when utilized on optimization problems subject to noise. On these …

An opposition-based particle swarm optimization algorithm for noisy environments

MC Zhou, Z Zhao, C Xiong… - 2018 IEEE 15th …, 2018 - ieeexplore.ieee.org
Particle Swarm Optimization (PSO) is a population-based algorithm designed to tackle
various optimization problems. However, its performance deteriorates significantly when …

Integrating particle swarm optimization with learning automata to solve optimization problems in noisy environment

JQ Zhang, LW Xu, J Li, Q Kang… - 2014 IEEE International …, 2014 - ieeexplore.ieee.org
Particle Swarm Optimization (PSO) is a brilliant evolutionary algorithm adaptable to various
kinds of optimization problems in distinct fields. However, when facing noisy environments …

Fibonacci multi-modal optimization algorithm in noisy environment

X Wang, Y Wang, H Wu, L Gao, L Luo, P Li, X Shi - Applied Soft Computing, 2020 - Elsevier
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 …

A learning automata-based particle swarm optimization algorithm for noisy environment

JQ Zhang, LW Xu, J Ma… - 2015 IEEE Congress on …, 2015 - ieeexplore.ieee.org
Particle Swarm Optimization (PSO) is an outstanding evolutionary algorithm designed to
tackle various optimization problems. However, its performance deteriorates significantly in …

Population statistics for particle swarm optimization: Hybrid methods in noisy optimization problems

J Rada-Vilela, M Johnston, M Zhang - Swarm and Evolutionary …, 2015 - Elsevier
Particle swarm optimization (PSO) is a metaheuristic designed to find good solutions to
optimization problems. However, when optimization problems are subject to noise, the …

FRPSO: Inverse kinematics using fully resampled particle swarm optimization

JLS Junior, RC de Oliveira Jesus… - 2018 Latin American …, 2018 - ieeexplore.ieee.org
This paper proposes a novel approach for the popular Particle Swarm Optimization (PSO)
algorithm to solve the inverse kinematics problem for a robotic manipulator. Our proposed …