TDMA Time Slot and Turn Optimization with Evolutionary Search Techniques

In this paper we present arithmetic real-coded variation operators tailored for time slot and turn optimization on TDMA-scheduled resources with evolutionary algorithms. Our operators implement a heuristic strategy to converge towards the solution space and are able to escape local minima. Furthermo...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Design, Automation and Test in Europe S. 312 - 317
Hauptverfasser:	Hamann, Arne, Ernst, Rolf
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	Washington, DC, USA IEEE Computer Society 07.03.2005 IEEE
Schriftenreihe:	ACM Conferences
Schlagworte:	Biological cells Communication networks Computer networks Computer systems organization > Architectures > Distributed architectures Computing methodologies > Artificial intelligence > Search methodologies > Heuristic function construction Design optimization Digital arithmetic Evolutionary computation Genetic mutations Legged locomotion Mathematics of computing > Information theory Mathematics of computing > Information theory > Coding theory Networks > Network protocols Security and privacy > Cryptography > Mathematical foundations of cryptography Space exploration Theory of computation > Design and analysis of algorithms > Approximation algorithms analysis > Scheduling algorithms Theory of computation > Design and analysis of algorithms > Data structures design and analysis > Sorting and searching Theory of computation > Design and analysis of algorithms > Online algorithms > Online learning algorithms > Scheduling algorithms Theory of computation > Theory and algorithms for application domains > Machine learning theory > Reinforcement learning > Sequential decision making Time division multiple access
ISBN:	9780769522883, 0769522882
ISSN:	1530-1591
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!