DeepAI AI Chat
Log In Sign Up

Genetic agent approach for improving on-the-fly web map generalization

by   Brahim lejdel, et al.

The utilization of web mapping becomes increasingly important in the domain of cartography. Users want access to spatial data on the web specific to their needs. For this reason, different approaches were appeared for generating on-the-fly the maps demanded by users, but those not suffice for guide a flexible and efficient process. Thus, new approach must be developed for improving this process according to the user needs. This work focuses on defining a new strategy which improves on-the-fly map generalization process and resolves the spatial conflicts. This approach uses the multiple representation and cartographic generalization. The map generalization process is based on the implementation of multi- agent system where each agent was equipped with a genetic patrimony.


page 4

page 5

page 6

page 7


Personalize Web Searching Strategies Classification and Comparison

Personalization is becoming very important direction in semantic web sea...

Semantic Web Environments for Multi-Agent Systems: Enabling agents to use Web of Things via semantic web

The Web is ubiquitous, increasingly populated with interconnected data, ...

Quantifying environment and population diversity in multi-agent reinforcement learning

Generalization is a major challenge for multi-agent reinforcement learni...

Spatial Intention Maps for Multi-Agent Mobile Manipulation

The ability to communicate intention enables decentralized multi-agent r...

Map plasticity

With the arrival of digital maps, the ubiquity of maps has increased sha...

GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting

The task of motion forecasting is critical for self-driving vehicles (SD...