Disaster risk science: A geographical perspective and a research framework
P Shi, T Ye, Y Wang, T Zhou, W Xu, J Du… - International Journal of …, 2020 - Springer
In this article, we recall the United Nations' 30-year journey in disaster risk reduction strategy
and framework, review the latest progress and key scientific and technological questions …
and framework, review the latest progress and key scientific and technological questions …
Multi-objective optimization of the vehicle ride comfort based on Kriging approximate model and NSGA-II
S Chen, T Shi, D Wang, J Chen - Journal of Mechanical Science and …, 2015 - Springer
The RMS of weighted acceleration, wheel dynamic load and suspension dynamic deflection
are determined as evaluation indices of vehicle ride comfort performance. A multi-body …
are determined as evaluation indices of vehicle ride comfort performance. A multi-body …
Deterministic agent-based path optimization by mimicking the spreading of ripples
XB Hu, M Wang, MS Leeson… - Evolutionary …, 2016 - ieeexplore.ieee.org
Inspirations from nature have contributed fundamentally to the development of evolutionary
computation. Learning from the natural ripple-spreading phenomenon, this article proposes …
computation. Learning from the natural ripple-spreading phenomenon, this article proposes …
Forecasting the success of a new tourism service by a neuro-fuzzy technique
GS Atsalakis, IG Atsalaki, C Zopounidis - European Journal of Operational …, 2018 - Elsevier
This paper presents a novel approach to forecasting the success of a newly launched
service in tourism by using a hybrid intelligence system called the Adaptive Neuro Fuzzy …
service in tourism by using a hybrid intelligence system called the Adaptive Neuro Fuzzy …
Ripple spreading algorithm: a new method for solving multi-objective shortest path problems with mixed time windows
S Yu, Y Song - Complex & Intelligent Systems, 2024 - Springer
In emergency management, the transportation scheduling of emergency supplies and relief
personnel can be regarded as the multi-objective shortest path problem with mixed time …
personnel can be regarded as the multi-objective shortest path problem with mixed time …
Multi-objective optimization techniques to design the Pareto front of organic dielectric polymers
A Mannodi-Kanakkithodi, G Pilania… - Computational Materials …, 2016 - Elsevier
Abstract We present two Monte Carlo algorithms to find the Pareto front of the chemical
space of a class of dielectric polymers that is most interesting with respect to optimizing both …
space of a class of dielectric polymers that is most interesting with respect to optimizing both …
Finding the k shortest paths by ripple-spreading algorithms
XB Hu, C Zhang, GP Zhang, MK Zhang, H Li… - … Applications of Artificial …, 2020 - Elsevier
The k shortest paths problem (k-SPP) is fundamentally important to both theoretical and
application researches on computational intelligence. Inspired by the natural ripple …
application researches on computational intelligence. Inspired by the natural ripple …
Service requirement conflict resolution based on ant colony optimization in group-enterprises-oriented cloud manufacturing
X Huang, B Du, L Sun, F Chen, W Dai - The International Journal of …, 2016 - Springer
Cloud manufacturing (CMfg) platform for group enterprises (GE) is a kind of private CMfg,
which is to integrate and optimize GE's internal resources and capacity for large complex …
which is to integrate and optimize GE's internal resources and capacity for large complex …
A novel model for optimizing selection of cloud instance types
With the development of cloud computing, the cloud market is becoming more and more
complicated. In a cloud data center, there are many cloud instance types with different …
complicated. In a cloud data center, there are many cloud instance types with different …
A new method for resource allocation optimization in disaster reduction and risk governance
XB Hu, M Wang, T Ye, P Shi - International Journal of Disaster Risk …, 2016 - Springer
How to allocate and use resources play a crucial role in disaster reduction and risk
governance (DRRG). The challenge comes largely from two aspects: the resources …
governance (DRRG). The challenge comes largely from two aspects: the resources …