the traveling salesman problem (tsp) is a well-known combinatorial optimization problem and holds a central place in logistics management. the tsp has received much attention because of its practical applications in industrial problems. many exact, heuristic and metaheuristic approaches have been proposed to solve tsp in recent years. in this paper, a modified ant colony optimization (maco) is ...

Readers construct mental models of situations described by text. Activity in narrative text is dynamic, so readers must frequently update their situation models when dimensions of the situation change. Updating can be incremental, such that a change leads to updating just the dimension that changed, or global, such that the entire model is updated. Here, we asked whether older and young adults ...

Australia has been cited as a weak link in anthropogenic models of megafauna extinction, but recent work suggests instead that the evidence for rapid extinction shortly after human arrival is robust. The global model is revisited, based on the contention that late Pleistocene megafauna extinctions took place rapidly on islands, and some islands (such as Australia and the Americas) are much larg...

The authors show that the updating of working memory (WM) representations is carried out by the cooperative act of 2 dissociable reaction time (RT) components: a global updating process that provides stability by shielding WM contents against interference and a local process that provides flexibility. Participants kept track of 1-3 items (digits or Gibson figures). In each trial, the items eith...

In this paper, the application of stochastic global optimization techniques, in particular the GlobalSearch and MultiStart solvers from MatLab, to improve the updating of a structural dynamic model, are presented. For comparative purposes, the efficiency of these global methods relatively to the local search method previously used in a Finite Element Model Updating program is evaluated. The obt...

This paper presents the dynamic method for fault diagnosis based on the updating of Interval-valued belief structures (IBSs). The classical Jeffrey’s updating rule and the linear updating rule are extended to the framework of IBSs. Both of them are recursively used to generate global diagnosis evidence with the form of Interval basic belief assignment (IBBA) by updating the previous evidence wi...

Spatial inferences during wayfindign could be closely related to spatial learning. We examined the effects of regularity in the inferences on learning of relative locations through wayfinding in the context of available information about an environment. In the experiment using a real maze, participants visited multiple targets in one of four conditions by a combination of two factors: an updati...

During narrative comprehension, readers construct representations of the situation described by a text, called situation models. Theories of situation model construction and event comprehension posit two distinct types of situation model updating: incremental updating of individual situational dimensions, and global updates in which an old model is abandoned and a new one created. No research t...

Mobile Ad-hoc Networks (MANETs) by contrast of other networks have more vulnerability because of having nature properties such as dynamic topology and no infrastructure. Therefore, a considerable challenge for these networks, is a method expansion that to be able to specify anomalies with high accuracy at network dynamic topology alternation. In this paper, two methods proposed for dynamic anom...