Interval valued demand related inventory model under all units discount facility and deterioration via parametric approach
In the yard of business organization, due to a major number of competitors and uncertainty
of customers' demand, everyone faces some disturbances for smoothly running of their …
of customers' demand, everyone faces some disturbances for smoothly running of their …
[BOOK][B] Applications of artificial intelligence, big data and internet of things in sustainable development
This book focuses on different algorithms and models related to AI, big data and IoT used for
various domains. It enables the reader to have a broader and deeper understanding of …
various domains. It enables the reader to have a broader and deeper understanding of …
Fuzzy C-means clustering analysis based on quantum particle swarm optimization algorithm for the grou** of rock discontinuity sets
S Song, Q Wang, J Chen, Y Li, W Zhang… - KSCE Journal of Civil …, 2017 - Springer
Rock discontinuities significantly influence the deformation as well as strength of rock
masses. One of the basic analyses for rock engineering is categorizing discontinuities with …
masses. One of the basic analyses for rock engineering is categorizing discontinuities with …
Assessing debris flow susceptibility in Heshigten Banner, Inner Mongolia, China, using principal component analysis and an improved fuzzy C-means algorithm
M Shi, J Chen, Y Song, W Zhang, S Song… - Bulletin of Engineering …, 2016 - Springer
Susceptibility analysis is important in any study of debris flows. Unlike debris flows in
Southwest China, debris flows in Northern China occur with different characteristics and …
Southwest China, debris flows in Northern China occur with different characteristics and …
DBN with IQPSO Algorithm for Permeability Prediction: A Case Study of the Lizhai Geothermal Field, Zhangye Basin (Northern China)
H Zhang, W Wu - Natural Resources Research, 2023 - Springer
This study utilized the deep belief network (DBN) model to predict permeability, which has
been shown to be superior in data fitting compared to traditional machine learning models …
been shown to be superior in data fitting compared to traditional machine learning models …
Predicting serious diabetic complications using hidden pattern detection
Diabetes is known as a metabolic disease. Type 1 diabetes is an anti-immune disease
whereby the body's immune system kills off its own insulin producing beta cells in the …
whereby the body's immune system kills off its own insulin producing beta cells in the …
Serial and parallel memetic algorithms for the bounded diameter minimum spanning tree problem
Given a connected, weighted, undirected graph G=(V, E) and an integer D≥ 2, the bounded
diameter minimum spanning tree (BDMST) problem seeks a spanning tree of minimum cost …
diameter minimum spanning tree (BDMST) problem seeks a spanning tree of minimum cost …
A novel clustering algorithm for attributed graphs based on K-medoid algorithm
Articulateness and plasticity are two essential attributes that make a graph as an efficient
model to real life problems. Nowadays, the attributed graph is received lots of attentions …
model to real life problems. Nowadays, the attributed graph is received lots of attentions …
Advancements in quantum-PSO and its application in sustainable development
A Sahoo, P Singh - Applications of Artificial Intelligence, Big Data …, 2022 - taylorfrancis.com
Optimization is an inevitable part of sustainable development. Optimization techniques are
employed to improve sustainability and achieve the goals of sustainable development …
employed to improve sustainability and achieve the goals of sustainable development …
[PDF][PDF] Research on an improved quantum particle swarm optimization and its application
L Wang - International Journal of Multimedia and Ubiquitous …, 2016 - gvpress.com
The quantum particle swarm optimization (QPSO) algorithm exists some defects, such as
premature convergence, poor search ability and easy falling into local optimal solutions. The …
premature convergence, poor search ability and easy falling into local optimal solutions. The …