Hybridizing differential evolution and particle swarm optimization to design powerful optimizers: a review and taxonomy
Differential evolution (DE) and particle swarm optimization (PSO) are two formidable
population-based optimizers (POs) that follow different philosophies and paradigms, which …
population-based optimizers (POs) that follow different philosophies and paradigms, which …
A systematic overview of developments in differential evolution and particle swarm optimization with their advanced suggestion
RP Parouha, P Verma - Applied Intelligence, 2022 - Springer
An efficient survey of numerous traditional metaheuristic algorithms (MAs) has been
investigated in this paper. Among successful MAs, differential evolution (DE) and particle …
investigated in this paper. Among successful MAs, differential evolution (DE) and particle …
A conceptual comparison of the Cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms
P Civicioglu, E Besdok - Artificial intelligence review, 2013 - Springer
In this paper, the algorithmic concepts of the Cuckoo-search (CK), Particle swarm
optimization (PSO), Differential evolution (DE) and Artificial bee colony (ABC) algorithms …
optimization (PSO), Differential evolution (DE) and Artificial bee colony (ABC) algorithms …
Multiple adaptive strategies based particle swarm optimization algorithm
Although particle swarm optimization algorithm (PSO) has displayed promising performance
on many optimization problems, how to balance contradictions between the exploration and …
on many optimization problems, how to balance contradictions between the exploration and …
Enhanced butterfly optimization algorithm with a new fuzzy regulator strategy and virtual butterfly concept
A Mortazavi, M Moloodpoor - Knowledge-Based Systems, 2021 - Elsevier
Abstract Butterfly Optimization Algorithm (BOA) is a recently developed metaheuristic search
algorithm that mimics the food-search process of the butterflies in nature. The studies reveal …
algorithm that mimics the food-search process of the butterflies in nature. The studies reveal …
Advances of metaheuristic algorithms in training neural networks for industrial applications
In recent decades, researches on optimizing the parameter of the artificial neural network
(ANN) model has attracted significant attention from researchers. Hybridization of superior …
(ANN) model has attracted significant attention from researchers. Hybridization of superior …
[PDF][PDF] 具备反向学习和局部学习能力的粒子群算法
夏学文， 刘经南， 高柯夫， 李元香， 曾辉 - 计算机学报, 2015 - cjc.ict.ac.cn
摘要为解决粒子群优化(ParticleSwarmOptimization, PSO) 算法中存在的种群多样性和收敛性
之间的矛盾, 该文提出了一种具备反向学习和局部学习能力的粒子群优化算法(Reverse …
之间的矛盾, 该文提出了一种具备反向学习和局部学习能力的粒子群优化算法(Reverse …
A hybrid particle swarm optimization with crisscross learning strategy
B Liang, Y Zhao, Y Li - Engineering Applications of Artificial Intelligence, 2021 - Elsevier
As an efficient and simple optimization algorithm, particle swarm optimization (PSO) has
been widely applied to solve various real optimization problems. However, avoiding …
been widely applied to solve various real optimization problems. However, avoiding …
MSSSA: a multi-strategy enhanced sparrow search algorithm for global optimization
K Meng, C Chen, B Xin - Frontiers of Information Technology & Electronic …, 2022 - Springer
The sparrow search algorithm (SSA) is a recent meta-heuristic optimization approach with
the advantages of simplicity and flexibility. However, SSA still faces challenges of premature …
the advantages of simplicity and flexibility. However, SSA still faces challenges of premature …
A hybrid optimizer based on firefly algorithm and particle swarm optimization algorithm
X Xia, L Gui, G He, C Xie, B Wei, Y Xing, R Wu… - Journal of computational …, 2018 - Elsevier
As two widely used evolutionary algorithms, particle swarm optimization (PSO) and firefly
algorithm (FA) have been successfully applied to diverse difficult applications. And extensive …
algorithm (FA) have been successfully applied to diverse difficult applications. And extensive …