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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

A novel model for optimizing selection of cloud instance types

W Liu, P Wang, Y Meng, Q Zhao, C Zhao… - IEEE Access, 2019 - ieeexplore.ieee.org
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 …

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 …