A large number of intelligent algorithms based on social intelligent behavior have been
extensively researched in the past few decades, through the study of natural creatures, and …

Optimization in computationally expensive numerical problems with limited function
evaluations provides computational advantages over constraints based on runtime …

The preparation of a landslide susceptibility map is considered to be the first step for
landslide hazard mitigation and risk assessment. However, these maps are accepted as end …

Landslides, one of the most common hazards around the world, have brought about severe
damage to life and property of human. To prevent and mitigate landslides, various models …

In recent years, machine learning techniques have been increasingly applied to the
assessment of various natural disasters, including landslides and floods. Machine learning …

We present a hybrid algorithm called parallel simulated annealing with a greedy algorithm
(PSAGA) to learn Bayesian network structures. This work focuses on simulated annealing …

Swarm intelligence has become a hot research field of artificial intelligence. Considering the
importance of swarm intelligence for the future development of artificial intelligence, we …

Bayesian network structure learning is the basis of parameter learning and Bayesian
inference. However, it is a NP-hard problem to find the optimal structure of Bayesian …

As an effective tool for the representation and reasoning of uncertain theories, Bayesian
networks are widely used in various fields of artificial intelligence. However, learning the …

Abstract The 0-1 knapsack problem (KP01) is one of the classical NP-hard problems in
operation research and has a number of engineering applications. In this paper, the BABC …