Heuristic Mechanism for Drone Swarm Auto-organization
نویسندگان
چکیده
منابع مشابه
Swarm Intelligence Engineering for Spatial Organization Modelling
In this paper, we propose a swarm intelligence algorithm to deal with dynamical and spatial organization emergence. The goal is to model and simulate the developement of spatial centers using multi-criteria. We combine a decentralized approach based on emergent clustering mixed with spatial constraints or attractions. We propose an extension of the ant nest building algorithm with multi-center ...
متن کاملSelf-Organization in a Particle Swarm Optimized Fuzzy Logic Congestion Detection Mechanism for IP Networks
The Fuzzy Logic Congestion Detection (FLCD) algorithm is a recent proposal for congestion detection in IP networks which combines the good characteristics of both traditional Active Queue Management (AQM) algorithms and fuzzy logic based AQM algorithms. The Membership Functions (MFs) of the FLCD algorithm are designed using a Multi-Objective Particle Swarm Optimization (MOPSO) algorithm, in ord...
متن کاملClustering and Memory-based Parent-Child Swarm Meta-heuristic Algorithm for Dynamic Optimization
So far, various optimization methods have been proposed, and swarm intelligence algorithms have gathered a lot of attention by academia. However, most of the recent optimization problems in the real world have a dynamic nature. Thus, an optimization algorithm is required to solve the problems in dynamic environments well. In this paper, a novel collective optimization algorithm, namely the Clus...
متن کاملDrone Package Delivery: A Heuristic approach for UAVs path planning and tracking
In this paper we propose a new approach based on a heuristic search for UAVs path planning with terrestrial wireless network tracking. In a previous work we proposed and exact solution based on an integ er linear formulation of the problem. Unfortunately, the exact resolution is limited by the computation complexity. In this case, we propose in this paper a new approach based on a heuristic sea...
متن کاملA swarm based heuristic for sparse image recovery
This paper discusses the Compressive Sampling framework as an application for sparse representation (factorization) and recovery of images over an over-complete basis (dictionary). Compressive Sampling is a novel new area which asserts that one can recover images of interest, with much fewer measurements than were originally thought necessary, by searching for the sparsest representation of an ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Research in Computing Science
سال: 2018
ISSN: 1870-4069
DOI: 10.13053/rcs-147-2-10