Due to the frequently occurring disasters in the world, emergency management is an
attractive research area aiming to stabilize the disasters and reduce the potential damage to …

Clustering non-Euclidean data is difficult, and one of the most used algorithms besides
hierarchical clustering is the popular algorithm Partitioning Around Medoids (PAM), also …

Abstract The p-Center Problem (PCP) is a classical discrete facility location problem (FLP)
with broad real-world application scenarios, such as public facilities and urban emergency …

This paper presents a saliency detection algorithm by integrating both local estimation and
global search. In the local estimation stage, we detect local saliency by using a deep neural …

Abstract Unmanned Aerial Vehicles (UAVs) are attracting significant interest for delivery
service of small packages in urban areas. The limited flight range of electric drones powered …

Real-life decisions are usually made in the state of uncertainty. How do we model
optimization problems in uncertain environments? How do we solve these models? The …

Many countries have committed to conserving significant amounts of their native biodiversity
(McNeely et al. 1990). Biodiversity includes the diversity of ecosystems and the diversity …

The p-median problem is one of the basic models in discrete location theory. As with most
location problems, it is classified as NP-hard, and so, heuristic methods are usually used to …

We propose a new genetic algorithm for a well-known facility location problem. The
algorithm is relatively simple and it generates good solutions quickly. Evolution is facilitated …

Facilities and their services can be lost due to natural disasters as well as to intentional
strikes, either by terrorism or an army. An intentional strike against a system is called …