Automatic fire detection system is a system that is capable of assessing environmental
factors and their effects on the environment as well as predicting the occurrence of fire in the …

Large-scale problems that demand high precision have remarkably increased the
computational time of numerical simulation models. Therefore, the parallelization of models …

Conventionally, agent-based modelling approaches start from a conceptual model capturing
the theoretical understanding of the systems of interest. Simulation outcomes are then used …

When an emergency occurs, hazard evolution simulators are a very helpful tool for the
teams in charge of making decisions. These simulators need certain input data, which …

Evolutionary algorithms have shown much success in solving real-world design problems,
but they are considered computationally inefficient because they rely on many objective …

The accurate prediction of forest fire propagation is a crucial issue to minimize its effects. So,
several models have been developed to determine the forest fire propagation beforehand …

Good knowledge would be expected to help a knowledge-based algorithm more than bad
knowledge. In this research, the precise effect of good versus bad knowledge on …

Simulation systems that predict the propagation of environmental emergencies have to
satisfy hard real-time constraints to prevent tragedy. To obtain more reliable forecasts, input …

This work faces the problem of quality and prediction time assessment in a Dynamic Data
Driven Application System (DDDAS) for predicting natural hazard evolution. Natural hazard …

During the design optimization of the excavator boom, there are many design variables and
complicated processes. The original optimization methods mainly focused on the …