Review on meta-heuristics approaches for airside operation research
The number of publications related to airside operation research is increasing and gaining
in popularity. This paper aims to provide researchers with a comprehensive and extensive …
in popularity. This paper aims to provide researchers with a comprehensive and extensive …
Swarm intelligence in data science: applications, opportunities and challenges
Abstract The Swarm Intelligence (SI) algorithms have been proved to be a comprehensive
method to solve complex optimization problems by simulating the emergence behaviors of …
method to solve complex optimization problems by simulating the emergence behaviors of …
[PDF][PDF] A hybrid swarm algorithm for collective construction of 3D structures
H Zapata, N Perozo, W Angulo… - International Journal of …, 2020 - researchgate.net
In order to decrease the time of construction of self-assembly algorithm based on the
construction of wasp nests, with respect to the number of iterations, this work proposes a …
construction of wasp nests, with respect to the number of iterations, this work proposes a …
Swarm intelligence approaches in supply chain management: potentials, challenges and future research directions
Purpose It is worth mentioning that in supply chain management (SCM), managerial
decisions are often based on optimization of resources. Till the early 2000s, supply chain …
decisions are often based on optimization of resources. Till the early 2000s, supply chain …
Distributed intelligence at the edge on IoT networks
The Internet of Things (IoT) has revolutionized innovation to collect and store the information
received from physical objects or sensors. The smart devices are linked to a repository that …
received from physical objects or sensors. The smart devices are linked to a repository that …
Design of an integration model for air cargo transportation network design and flight route selection
Air cargo transportation is an essential component in the freight transportation market,
primarily due to the transportation requirements of time-sensitive products. Air cargo …
primarily due to the transportation requirements of time-sensitive products. Air cargo …
A survey, taxonomy and progress evaluation of three decades of swarm optimisation
While the concept of swarm intelligence was introduced in 1980s, the first swarm
optimisation algorithm was introduced a decade later, in 1992. In this paper, nineteen …
optimisation algorithm was introduced a decade later, in 1992. In this paper, nineteen …
Fast artificial bee colony algorithm with complex network and naive bayes classifier for supply chain network management
In supply chain network (SCN) management, multi-objective Pareto optimization means the
network can meet the demand for both minimal cost and minimal lead-time in SCN. Due to …
network can meet the demand for both minimal cost and minimal lead-time in SCN. Due to …
A coevolutionary artificial bee colony for training feedforword neural networks
L Zhang, H Li, W Gao - Neural Computing and Applications, 2024 - Springer
A coevolutionary artificial bee colony (CoABC) trainer based on a hybrid encoding mode is
proposed to optimize the network structure and connection weights of a single-hidden layer …
proposed to optimize the network structure and connection weights of a single-hidden layer …
[PDF][PDF] Wiener Model Identification Using a Modified Brain Storm Optimization Algorithm.
T Pan, Y Song, S Chen - Intelligent Automation & Soft …, 2020 - cdn.techscience.cn
The Wiener model is widely used in industrial processes. It is composed of a linear dynamic
block and a nonlinear static block. Estimating the Wiener model is challenging because of …
block and a nonlinear static block. Estimating the Wiener model is challenging because of …