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...

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Vydané v:	Design, Automation and Test in Europe s. 312 - 317
Hlavní autori:	Hamann, Arne, Ernst, Rolf
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	Washington, DC, USA IEEE Computer Society 07.03.2005 IEEE
Edícia:	ACM Conferences
Predmet:	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
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