A multiobjective optimization problem involves several conflicting objectives and has a set of
Pareto optimal solutions. By evolving a population of solutions, multiobjective evolutionary …

Potential consequences of disasters involve overwhelming economic losses, large affected
populations and serious environmental damages. Given these devastating effects, there is …

We present a survey that focuses on the response and recovery planning phases of the
disaster lifecycle. Related mathematical models developed in this area of research are …

We have reviewed disaster management research papers published in major operations
management, management science, operations research, supply chain management and …

The logistical deployment of resources to provide relief to disaster victims and the
appropriate planning of these activities are critical to reduce the suffering caused. Disaster …

In the recent past, the global public has been alarmed by several natural disasters with
tremendous consequences. The OR/MS community has reacted by develo** quantitative …

Humanitarian relief logistics is one of the most important elements of a relief operation in
disaster management. The present work develops a multi-objective robust stochastic …

With the emergence of big data and new data sources, a challenge posed to today's
organizations consists of identifying how to align their decision-making and organizational …

The frequency of natural and man-made disasters has increased over the past few decades,
which has doubled the significance of evacuation planning because it directly affects …

In recent years, extreme natural hazards threaten cities more than ever due to contemporary
society's high vulnerability in cities. Hence, local governments need to implement risk …