A review of the existing and emerging topics in the supply chain risk management literature
This review examines supply chain risk publications across nine prestigious management,
operations, and supply chain journals with respect to exploring trends and emerging topics …
operations, and supply chain journals with respect to exploring trends and emerging topics …
Molecular docking: challenges, advances and its use in drug discovery perspective
S Saikia, M Bordoloi - Current drug targets, 2019 - ingentaconnect.com
Molecular docking is a process through which small molecules are docked into the
macromolecular structures for scoring its complementary values at the binding sites. It is a …
macromolecular structures for scoring its complementary values at the binding sites. It is a …
A new human-based metaheuristic algorithm for solving optimization problems on the base of simulation of driving training process
In this paper, a new stochastic optimization algorithm is introduced, called Driving Training-
Based Optimization (DTBO), which mimics the human activity of driving training. The …
Based Optimization (DTBO), which mimics the human activity of driving training. The …
Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems
S Mirjalili - Neural computing and applications, 2016 - Springer
A novel swarm intelligence optimization technique is proposed called dragonfly algorithm
(DA). The main inspiration of the DA algorithm originates from the static and dynamic …
(DA). The main inspiration of the DA algorithm originates from the static and dynamic …
Multi-verse optimizer: a nature-inspired algorithm for global optimization
This paper proposes a novel nature-inspired algorithm called Multi-Verse Optimizer (MVO).
The main inspirations of this algorithm are based on three concepts in cosmology: white …
The main inspirations of this algorithm are based on three concepts in cosmology: white …
A review of edge computing: Features and resource virtualization
With the advent of Internet of Things (IoT) connecting billions of mobile and stationary
devices to serve real-time applications, cloud computing paradigms face some significant …
devices to serve real-time applications, cloud computing paradigms face some significant …
A review on optimization methods applied in energy-efficient building geometry and envelope design
F Kheiri - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Building envelope parameters and geometric configurations can considerably influence the
building energy performance. However, determining the best trade-offs of different building …
building energy performance. However, determining the best trade-offs of different building …
An efficient ECG arrhythmia classification method based on Manta ray foraging optimization
The Electrocardiogram (ECG) arrhythmia classification has become an interesting research
area for researchers and developers as it plays a vital role in early prevention and diagnosis …
area for researchers and developers as it plays a vital role in early prevention and diagnosis …
A survey on optimization metaheuristics
Metaheuristics are widely recognized as efficient approaches for many hard optimization
problems. This paper provides a survey of some of the main metaheuristics. It outlines the …
problems. This paper provides a survey of some of the main metaheuristics. It outlines the …
[PDF][PDF] Metaheuristics: From Design to Implementation
EG Talbi - John Wiley & Sons google schola, 2009 - zeus.inf.ucv.cl
A unified view of metaheuristics This book provides a complete background on
metaheuristics and shows readers how to design and implement efficient algorithms to solve …
metaheuristics and shows readers how to design and implement efficient algorithms to solve …