Review of healthcare industry 4.0 application-based blockchain in terms of security and privacy development attributes: Comprehensive taxonomy, open issues and …
This paper has been contributed on the basis of three main goals, namely, to identify the
research gaps, challenges and open issues in the academic literature related to the …
research gaps, challenges and open issues in the academic literature related to the …
Aggregate production planning: A literature review and future research directions
A Cheraghalikhani, F Khoshalhan… - International Journal of …, 2019 - growingscience.com
Aggregate production planning (APP) is concerned with determining the optimum
production and workforce levels for each period over the medium term planning horizon. It …
production and workforce levels for each period over the medium term planning horizon. It …
Novel meta-heuristic bald eagle search optimisation algorithm
This study proposes a bald eagle search (BES) algorithm, which is a novel, nature-inspired
meta-heuristic optimisation algorithm that mimics the hunting strategy or intelligent social …
meta-heuristic optimisation algorithm that mimics the hunting strategy or intelligent social …
A novel meta-heuristic search algorithm for solving optimization problems: capuchin search algorithm
Meta-heuristic search algorithms were successfully used to solve a variety of problems in
engineering, science, business, and finance. Meta-heuristic algorithms share common …
engineering, science, business, and finance. Meta-heuristic algorithms share common …
A novel meta-heuristic algorithm for solving numerical optimization problems: Ali Baba and the forty thieves
This paper presents a novel meta-heuristic algorithm called Ali Baba and the forty thieves
(AFT) for solving global optimization problems. Recall the famous tale of Ali Baba and the …
(AFT) for solving global optimization problems. Recall the famous tale of Ali Baba and the …
Backpropagation Neural Network optimization and software defect estimation modelling using a hybrid Salp Swarm optimizer-based Simulated Annealing Algorithm
Abstract Software Defect Estimation (SDE) is a fundamental problem solving mechanism in
the field of software engineering (SE). SDE is a task that identifies software models that are …
the field of software engineering (SE). SDE is a task that identifies software models that are …
PSO–Blockchain-based image steganography: towards a new method to secure updating and sharing COVID-19 data in decentralised hospitals intelligence …
Secure updating and sharing for large amounts of healthcare information (such as medical
data on coronavirus disease 2019 [COVID-19]) in efficient and secure transmission are …
data on coronavirus disease 2019 [COVID-19]) in efficient and secure transmission are …
A bi-objective production-distribution problem in a supply chain network under grey flexible conditions
One of the main topics discussed in a supply chain is the production-distribution problem.
Producing and distributing the products plays a key role in reducing the costs of the chain …
Producing and distributing the products plays a key role in reducing the costs of the chain …
Memory based hybrid crow search algorithm for solving numerical and constrained global optimization problems
Abstract Crow Search Algorithm (CSA) is a promising meta-heuristic method developed
based on the intelligent conduct of crows in nature. This algorithm lacks a good …
based on the intelligent conduct of crows in nature. This algorithm lacks a good …
Multi-agent learning neural network and Bayesian model for real-time IoT skin detectors: a new evaluation and benchmarking methodology
This study aimed to develop a new methodology for evaluating and benchmarking a multi-
agent learning neural network and Bayesian model for real-time skin detectors based on …
agent learning neural network and Bayesian model for real-time skin detectors based on …