Performance of a novel chaotic firefly algorithm with enhanced exploration for tackling global optimization problems: Application for dropout regularization
Swarm intelligence techniques have been created to respond to theoretical and practical
global optimization problems. This paper puts forward an enhanced version of the firefly …
global optimization problems. This paper puts forward an enhanced version of the firefly …
[HTML][HTML] Novel hybrid firefly algorithm: An application to enhance XGBoost tuning for intrusion detection classification
The research proposed in this article presents a novel improved version of the widely
adopted firefly algorithm and its application for tuning and optimising XGBoost classifier …
adopted firefly algorithm and its application for tuning and optimising XGBoost classifier …
Adaptive multi-population artificial bee colony algorithm based on fitness landscape analysis
In recent years, the multi-population mechanism stands out as an effective method to
improve the artificial bee colony (ABC) algorithm. However, many existing multi-population …
improve the artificial bee colony (ABC) algorithm. However, many existing multi-population …
Artificial bee colony algorithm based on multiple neighborhood topologies
X Zhou, Y Wu, M Zhong, M Wang - Applied Soft Computing, 2021 - Elsevier
In recent years, as an effective global optimization technique, artificial bee colony (ABC)
algorithm has attracted increasing attention for its good performance yet easy …
algorithm has attracted increasing attention for its good performance yet easy …
改进人工蜂群算法求解模糊柔性作业车间调度问题.
郑小操， 龚文引 - … Theory & Applications/Kongzhi Lilun Yu …, 2020 - search.ebscohost.com
模糊柔性作业车间调度问题(FFJSP) 是柔性作业车间调度问题(FJSP) 的拓展,
具有很强的现实意义. 针对FFJSP, 本文提出了一种基于领域搜索的改进人工蜂群算法 …
具有很强的现实意义. 针对FFJSP, 本文提出了一种基于领域搜索的改进人工蜂群算法 …
A framework for co-evolutionary algorithm using Q-learning with meme
A large number of metaheuristic algorithms have been proposed in the last three decades,
but no metaheuristic algorithm is superior to the others for all the optimization problems. It is …
but no metaheuristic algorithm is superior to the others for all the optimization problems. It is …
Shape optimization of structures with cutouts by an efficient approach based on XIGA and chaotic particle swarm optimization
Structural shape optimization is one important and crucial step in the design and analysis of
many engineering applications as it aims to improve structural characteristics, ie, reducing …
many engineering applications as it aims to improve structural characteristics, ie, reducing …
Artificial bee colony algorithm based on multi-neighbor guidance
X Zhou, G Tan, H Wang, Y Ma, S Wu - Expert Systems with Applications, 2025 - Elsevier
In recent years, to enhance the exploitation capability of the artificial bee colony (ABC)
algorithm, some neighborhood-based ABC variants have been designed by utilizing the …
algorithm, some neighborhood-based ABC variants have been designed by utilizing the …
Improved self-adaptive search equation-based artificial bee colony algorithm with competitive local search strategy
The search equations and the local search procedures used in Artificial Bee Colony (ABC)
algorithm are two key components that affect the performance of the algorithm. However …
algorithm are two key components that affect the performance of the algorithm. However …
An Enhanced Neural Network Algorithm with Quasi-Oppositional-Based and Chaotic Sine-Cosine Learning Strategies
X Xiong, S Li, F Wu - Entropy, 2023 - mdpi.com
Global optimization problems have been a research topic of great interest in various
engineering applications among which neural network algorithm (NNA) is one of the most …
engineering applications among which neural network algorithm (NNA) is one of the most …