A simple butterfly particle swarm optimization algorithm with the fitness-based adaptive inertia weight and the opposition-based learning average elite strategy
L Tong, M Dong, B Ai, C Jing - Fundamenta Informaticae, 2018 - content.iospress.com
Particle swarm optimization (PSO) is a population-based stochastic optimization technique
that can be applied to solve optimization problems. However, there are some defects for …
that can be applied to solve optimization problems. However, there are some defects for …
Constricted Particle Swarm Optimization based algorithm for global optimization
Abstract Particle Swarm Optimization (PSO) is a bioinspired meta–heuristic for solving
complex global optimization problems. In standard PSO, the particle swarm frequently gets …
complex global optimization problems. In standard PSO, the particle swarm frequently gets …
A novel hybrid particle swarm optimization using adaptive strategy
R Wang, K Hao, L Chen, T Wang, C Jiang - Information Sciences, 2021 - Elsevier
Particle swarm optimization (PSO) has been employed to solve numerous real-world
problems because of its strong optimization ability and easy implementation. However, PSO …
problems because of its strong optimization ability and easy implementation. However, PSO …
Improved particle swarm optimizer with dynamically adjusted search space and velocity limits for global optimization
AO Adewumi, AM Arasomwan - International Journal on Artificial …, 2015 - World Scientific
This paper presents an improved particle swarm optimization (PSO) technique for global
optimization. Many variants of the technique have been proposed in literature. However, two …
optimization. Many variants of the technique have been proposed in literature. However, two …
Dual-stage hybrid learning particle swarm optimization algorithm for global optimization problems
Particle swarm optimization (PSO) is a type of swarm intelligence algorithm that is frequently
used to resolve specific global optimization problems due to its rapid convergence and ease …
used to resolve specific global optimization problems due to its rapid convergence and ease …
Global and local neighborhood based particle swarm optimization
The particle swarm optimization (PSO) is one of the popular and simple to implement swarm
intelligence based algorithms. To some extent, PSO dominates other optimization algorithms …
intelligence based algorithms. To some extent, PSO dominates other optimization algorithms …
An enhanced particle swarm optimization with levy flight for global optimization
R Jensi, GW Jiji - Applied Soft Computing, 2016 - Elsevier
Hüseyin Haklı and Harun Uguz (2014) proposed a novel approach for global function
optimization using particle swarm optimization with levy flight (LFPSO)[Hüseyin Haklı, Harun …
optimization using particle swarm optimization with levy flight (LFPSO)[Hüseyin Haklı, Harun …
Advanced particle swarm optimization algorithm with improved velocity update strategy
In this paper, advanced particle swarm optimization Algorithm (APSO) with improved velocity
updated strategy is presented. The algorithm incorporates an improved velocity update …
updated strategy is presented. The algorithm incorporates an improved velocity update …
A novel hybrid firefly algorithm for global optimization
L Zhang, L Liu, XS Yang, Y Dai - PloS one, 2016 - journals.plos.org
Global optimization is challenging to solve due to its nonlinearity and multimodality.
Traditional algorithms such as the gradient-based methods often struggle to deal with such …
Traditional algorithms such as the gradient-based methods often struggle to deal with such …
Studying the impact of initialization for population-based algorithms with low-discrepancy sequences
To solve different kinds of optimization challenges, meta-heuristic algorithms have been
extensively used. Population initialization plays a prominent role in meta-heuristic …
extensively used. Population initialization plays a prominent role in meta-heuristic …