Swarm intelligence-based algorithms within IoT-based systems: A review
IoT-based systems are complex and dynamic aggregations of entities (Smart Objects) which
usually lack decentralized control. Swarm Intelligence systems are decentralized, self …
usually lack decentralized control. Swarm Intelligence systems are decentralized, self …
A novel self-adaptive multi-strategy artificial bee colony algorithm for coverage optimization in wireless sensor networks
Wireless sensor node coverage optimization is a critical issue in wireless sensor networks
(WSN), which is a commonly typical NP-hard problem. To enhance the coverage of wireless …
(WSN), which is a commonly typical NP-hard problem. To enhance the coverage of wireless …
Improving artificial bee colony algorithm using a new neighborhood selection mechanism
Artificial bee colony (ABC) and its most modifications use a probability method to select
good food sources (called solutions) in the onlooker bee search phase. However, the …
good food sources (called solutions) in the onlooker bee search phase. However, the …
Multi-strategy ensemble grey wolf optimizer and its application to feature selection
To overcome the limitation of single search strategy of grey wolf optimizer (GWO) in solving
various function optimization problems, we propose a multi-strategy ensemble GWO …
various function optimization problems, we propose a multi-strategy ensemble GWO …
A novel stochastic fractal search algorithm with fitness-distance balance for global numerical optimization
Abstract Stochastic Fractal Search (SFS) is a new and original meta-heuristic search (MHS)
algorithm with strong foundations. As with many other MHS methods, there are problems in …
algorithm with strong foundations. As with many other MHS methods, there are problems in …
A novel hybrid algorithm based on biogeography-based optimization and grey wolf optimizer
X Zhang, Q Kang, J Cheng, X Wang - Applied Soft Computing, 2018 - Elsevier
In order to obtain a Biogeography-Based Optimization (BBO) algorithm with strong universal
applicability, this paper presents a novel hybrid algorithm based on BBO and Grey Wolf …
applicability, this paper presents a novel hybrid algorithm based on BBO and Grey Wolf …
Image processing–based classification of asphalt pavement cracks using support vector machine optimized by artificial bee colony
ND Hoang, QL Nguyen, D Tien Bui - Journal of Computing in Civil …, 2018 - ascelibrary.org
Timely and accurate detection of asphalt pavement crack is very crucial in pavement
maintenance. This study establishes an intelligent approach for automatic recognition of …
maintenance. This study establishes an intelligent approach for automatic recognition of …
Enhancing artificial bee colony algorithm with multi-elite guidance
X Zhou, J Lu, J Huang, M Zhong, M Wang - Information Sciences, 2021 - Elsevier
Artificial bee colony (ABC) algorithm is a relatively new paradigm of swarm intelligence
based optimization technique, which has attracted a lot of attention for its simple structure …
based optimization technique, which has attracted a lot of attention for its simple structure …
Artificial bee colony algorithm based on adaptive neighborhood search and Gaussian perturbation
Artificial bee colony (ABC) is a type of popular swarm intelligence optimization algorithm. It is
widely concerned because of its easy implementation, few parameters and strong global …
widely concerned because of its easy implementation, few parameters and strong global …
Artificial bee colony algorithm with efficient search strategy based on random neighborhood structure
T Ye, W Wang, H Wang, Z Cui, Y Wang, J Zhao… - Knowledge-Based …, 2022 - Elsevier
As a popular swarm intelligence algorithm, artificial bee colony (ABC) achieves excellent
optimization performance, but it has some shortcomings. In order to strengthen the …
optimization performance, but it has some shortcomings. In order to strengthen the …