Blockchain in supply chain management: a review, bibliometric, and network analysis
Blockchain is a distributed ledger technology that has attracted both practitioners and
academics attention in recent years. Several conceptual and few empirical studies have …
academics attention in recent years. Several conceptual and few empirical studies have …
Designing a sustainable closed-loop supply chain network for walnut industry
In the history of sustainable development, logistics has been thought of as one of the key
factors in the supply chain network. In the meantime, the issue of Closed-loop Supply Chain …
factors in the supply chain network. In the meantime, the issue of Closed-loop Supply Chain …
A sinh cosh optimizer
Currently, meta-heuristic algorithms have been widely studied and applied, but balancing
exploration and exploitation remains a challenge. In this study, a novel meta-heuristic …
exploration and exploitation remains a challenge. In this study, a novel meta-heuristic …
Waterwheel plant algorithm: a novel metaheuristic optimization method
Attempting to address optimization problems in various scientific disciplines is a
fundamental and significant difficulty requiring optimization. This study presents the …
fundamental and significant difficulty requiring optimization. This study presents the …
An improved Harris Hawks optimization algorithm with multi-strategy for community detection in social network
FS Gharehchopogh - Journal of Bionic Engineering, 2023 - Springer
The purpose of community detection in complex networks is to identify the structural location
of nodes. Complex network methods are usually graphical, with graph nodes representing …
of nodes. Complex network methods are usually graphical, with graph nodes representing …
Efficient multi-objective meta-heuristic algorithms for energy-aware non-permutation flow-shop scheduling problem
This study investigates the optimization of non-permutation flow-shop scheduling problems
and lot-sizing simultaneously. Contrary to previous works, we first study the energy …
and lot-sizing simultaneously. Contrary to previous works, we first study the energy …
Artificial neural network model to predict the compressive strength of eco-friendly geopolymer concrete incorporating silica fume and natural zeolite
The growing concern about global climate change and its adverse impacts on societies is
putting severe pressure on the construction industry as one of the largest producers of …
putting severe pressure on the construction industry as one of the largest producers of …
Red deer algorithm (RDA): a new nature-inspired meta-heuristic
Nature has been considered as an inspiration of several recent meta-heuristic algorithms.
This paper firstly studies and mimics the behavior of Scottish red deer in order to develop a …
This paper firstly studies and mimics the behavior of Scottish red deer in order to develop a …
Metaheuristic algorithms for a sustainable agri-food supply chain considering marketing practices under uncertainty
In recent decades, the rapid growth of the global population has caused a significant
increase in agricultural and food product demands. Thereby, the production of various items …
increase in agricultural and food product demands. Thereby, the production of various items …
Artificial ecosystem-based optimization: a novel nature-inspired meta-heuristic algorithm
W Zhao, L Wang, Z Zhang - Neural Computing and Applications, 2020 - Springer
A novel nature-inspired meta-heuristic optimization algorithm, named artificial ecosystem-
based optimization (AEO), is presented in this paper. AEO is a population-based optimizer …
based optimization (AEO), is presented in this paper. AEO is a population-based optimizer …