There is a recognized need for automated path planning for unmanned air vehicles (UAVs) and guided munitions. Evolutionary programming approaches provide an alternative to classical functional optimization methods with the capability of incorporating a variety of optimization goals, while tolerating vehicle constraints. In this work, we introduce an evolutionary flight path planning algorithm c...

Extinction‐risk assessments play a major role in prioritizing conservation action at national and international levels. However, quantifying extinction risk is challenging, especially when including the full suite of adaptive responses to environmental change. In particular, evolutionary potential (EP) – capacity evolve genetically based changes that increase fitness under changing conditions h...

Path planning for an autonomous vehicle can occur at two different times. First, path planning might occur at mission specification time when the vehicle’s initial path is determined and used to specify other mission factors. This task makes use of some model of the environment in planning a path that will avoid obstacles and hazardous areas. A second type of path planning might occur while the...

In this paper, we present the SemLinker system used by the polymtl team in the English entity linking track of TAC-KBP 2013. To improve the disambiguation process, SemLinker re-uses and enriches the entity links provided by a generic annotation engine. The linking is done through a re-ranking process on the candidate links associated with a given named entity. This process relies on the mutual ...

This paper presents a new way for mobile robots’ path planning which is based on the Evolutionary Artificial Potential Fields(EAPF) approach. The APF theory is a traditional method to plan path for a robot. The Evolutionary APF aims at helping a robot jump out of the local minimum point. Using a virtual goal to produce extra force and fixing the direction of the repulsive force are combined to ...