A high accurate localization algorithm with DV-Hop and differential evolution for wireless sensor network
Localization technology has been a core component for Internet of Things (IoT), especially
for Wireless Sensor Network (WSN). Among all localization technologies, Distance Vector …
for Wireless Sensor Network (WSN). Among all localization technologies, Distance Vector …
Adaptive differential evolution algorithm based on deeply-informed mutation strategy and restart mechanism
Q Zhang, Z Meng - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Differential evolution is one of the most powerful stochastic real-parameter optimization
algorithms currently, and its performance depends heavily on control parameters and …
algorithms currently, and its performance depends heavily on control parameters and …
Adaptive multiple-elites-guided composite differential evolution algorithm with a shift mechanism
The performance of differential evolution (DE) has been significantly influenced by trial
vector generation strategies and control parameters. Various powerful trial vector generation …
vector generation strategies and control parameters. Various powerful trial vector generation …
A ranking-based adaptive artificial bee colony algorithm for global numerical optimization
The artificial bee colony (ABC) algorithm is a powerful population-based metaheuristic for
global numerical optimization and has been shown to compete with other swarm-based …
global numerical optimization and has been shown to compete with other swarm-based …
HPDE: A dynamic hierarchical population based differential evolution with novel diversity metric
Z Meng, Q Zhang - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Differential Evolution (DE) is one of the most effective methods for single-objective numerical
optimization, however, the former state-of-the-art DE variants ignore the huge differences …
optimization, however, the former state-of-the-art DE variants ignore the huge differences …
A novel artificial bee colony algorithm with local and global information interaction
The artificial bee colony algorithm (ABC) is a new stochastic and population-based
optimization method, which has been attracting a great deal of attention, due to its simple …
optimization method, which has been attracting a great deal of attention, due to its simple …
Linear convergence of CQ algorithms and applications in gene regulatory network inference
In the present paper, we consider the varying stepsize CQ algorithm for solving the split
feasibility problem in Hilbert spaces, investigate the linear convergence issue and explore …
feasibility problem in Hilbert spaces, investigate the linear convergence issue and explore …
An enhanced artificial bee colony algorithm with dual-population framework
Artificial bee colony (ABC) suffers from slow convergence. To enhance its convergence
speed, this paper proposes a general dual-population framework (short for DPF) for ABC …
speed, this paper proposes a general dual-population framework (short for DPF) for ABC …
Modified Gbest-guided artificial bee colony algorithm with new probability model
Artificial bee colony (ABC) is a very effective and efficient swarm-based intelligence
optimization algorithm, which simulates the collective foraging behavior of the honey bees …
optimization algorithm, which simulates the collective foraging behavior of the honey bees …
A smart artificial bee colony algorithm with distance-fitness-based neighbor search and its application
Artificial bee colony (ABC) is a kind of biologically-inspired optimization technology, which
has been successfully used in various scientific and engineering fields. To further improve …
has been successfully used in various scientific and engineering fields. To further improve …