Particle swarm optimisation for dynamic optimisation problems: a review

A Rezaee Jordehi - Neural Computing and Applications, 2014 - Springer
Some real-world optimisation problems are dynamic; that is, their objective function and/or
constraints vary over time. Solving such problems is very challenging. Particle swarm …

A survey of evolutionary continuous dynamic optimization over two decades—Part B

D Yazdani, R Cheng, D Yazdani… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
This article presents the second Part of a two-Part survey that reviews evolutionary dynamic
optimization (EDO) for single-objective unconstrained continuous problems over the last two …

A survey of evolutionary continuous dynamic optimization over two decades—Part A

D Yazdani, R Cheng, D Yazdani… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Many real-world optimization problems are dynamic. The field of dynamic optimization deals
with such problems where the search space changes over time. In this two-part article, we …

Optimization in dynamic environments: a survey on problems, methods and measures

C Cruz, JR González, DA Pelta - Soft Computing, 2011 - Springer
This paper provides a survey of the research done on optimization in dynamic environments
over the past decade. We show an analysis of the most commonly used problems, methods …

A novel framework for improving multi-population algorithms for dynamic optimization problems: A scheduling approach

JK Kordestani, AE Ranginkaman, MR Meybodi… - Swarm and evolutionary …, 2019 - Elsevier
This paper presents a novel framework for improving the performance of multi-population
algorithms in solving dynamic optimization problems (DOPs). The fundamental idea of the …

A species-based particle swarm optimization with adaptive population size and deactivation of species for dynamic optimization problems

D Yazdani, D Yazdani, D Yazdani… - ACM Transactions on …, 2023 - dl.acm.org
Population clustering methods, which consider the position and fitness of individuals to form
sub-populations in multi-population algorithms, have shown high efficiency in tracking the …

Identifying species for particle swarm optimization under dynamic environments

W Luo, J Sun, C Bu, R Yi - 2018 IEEE Symposium Series on …, 2018 - ieeexplore.ieee.org
The species techniques have been widely used in multimodal optimization, but not paid
enough attention in dynamic optimization. In this paper, a novel Nearest-Better Clustering …

Multi-DEPSO: A DE and PSO based hybrid algorithm in dynamic environments

L Xiao, X Zuo - 2012 IEEE Congress on Evolutionary …, 2012 - ieeexplore.ieee.org
A new hybrid algorithm based on Differential Evolution (DE) and Particle Swarm
Optimization (PSO) is proposed in this paper for dynamic optimization problems. The multi …

A multiple local search algorithm for continuous dynamic optimization

J Lepagnot, A Nakib, H Oulhadj, P Siarry - Journal of heuristics, 2013 - Springer
Many real-world optimization problems are dynamic (time dependent) and require an
algorithm that is able to track continuously a changing optimum over time. In this paper, we …

Multi-swarm optimization with chaotic mapping for dynamic optimization problems

L Shen, L Xu, R Wei, L Cao - 2015 8th International …, 2015 - ieeexplore.ieee.org
In real-world applications, many optimization problems are dynamic, therefore the goal of
optimization algorithms is not only to obtain the optimal solution, but also to have strong …