Distributed Scheduling with Decomposed Optimization Criterion: Genetic Programming Approach

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{seredynski:1999:dsdpcGPa,

• author = "Franciszek Seredynski and Jacek Koronacki and Cezary Z. Janikow",
• title = "Distributed Scheduling with Decomposed Optimization Criterion: Genetic Programming Approach",
• booktitle = "Parallel and Distributed Processing",
• year = "1999",
• editor = "Jose Rolim and Frank Mueller and Albert Y. Zomaya and Fikret Ercal and Stephan Olariu and Binoy Ravindran and Jan Gustafsson and Hiroaki Takada and Ron Olsson and Laxmikant V. Kale and Pete Beckman and Matthew Haines and Hossam ElGindy and Denis Caromel and Serge Chaumette and Geoffrey Fox and Yi Pan and Keqin Li and Tao Yang and G. Chiola and G. Conte and L. V. Mancini and Domenique Mery and Beverly Sanders and Devesh Bhatt and Viktor Prasanna",
• volume = "1586",
• series = "Lecture Notes in Computer Science",
• pages = "192--200",
• address = "San Juan, Puerto Rico, USA",
• month = "12-16 " # apr,
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-65831-9",
• URL = "http://ipdps.cc.gatech.edu/1999/biosp3/seredyns.pdf",
• URL = "http://citeseer.ist.psu.edu/475818.html",
• URL = "http://ftp.math.utah.edu/pub/tex/bib/lncs1999a.html#Seredynski:1999:DSD",
• DOI = "doi:10.1007/BFb0097900",
• size = "9 pages",
• abstract = "A new approach to develop parallel and distributed scheduling algorithms for multiprocessor systems is proposed. Its main innovation lies in evolving a decomposition of the global optimization criteria. For this purpose a program graph is interpreted as a multi-agent system. A game-theoretic model of interaction between agents is applied. Competetive coevolutionary genetic algorithm, termed loosely coupled genetic algorithm, is used to implement the multi-agent system. To make the algoritm trully distributed, decomposition of the global optimization criterion into local criteria is proposed. This decomposition is evolved with genetic programming. Results of succesive experimental study of the proposed algorithm are presented.",
• notes = "11 IPPS/SPDP'99 Workshops Held in Conjunction with the 13th International Parallel Processing Symposium and 10th Symposium on Parallel and Distributed Processing,

  Broken Oct 2021 http://www.springer.de/cgi-bin/search_book.pl?isbn=3-540-65831-9

  multi-agent systems, coevolution, game theory, loosely coupled genetic algorithms LCGA

  Also known as \cite{Seredynski:1999:DSD}",

}

Genetic Programming entries for Franciszek Seredynski Jacek Koronacki Cezary Z Janikow

Citations