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Parallel Robot Scheduling to Minimize Mean Tardiness with Unequal Release Date and Precedence Constraints Using a Hybrid Intelligent System : Pianificazione in parallelo di robot per minimizzare il ritardo con tempi di rilascio diversi e vincoli di precedenza in un sistema intelligente ibrido, in: International Journal of Advanced Robotic Systems

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Autore Çakar, Tarık; Köker, Raşit; Sarı, Yavuz
Pubblicato  InTech Open Access Publisher, 2012
edizione  
Volume  
ISBN
Abstract This paper considers the problem of scheduling
a given number of jobs on a specified number of identical
parallel robots with unequal release dates and precedence
constraints in order to minimize mean tardiness. This
problem is strongly NP‐hard. The author proposes a
hybrid intelligent solution system, which uses Genetic
Algorithms and Simulated Annealing (GA+SA). A genetic
algorithm, as is well known, is an efficient tool for the
solution of combinatorial optimization problems.
Solutions for problems of different scales are found using
genetic algorithms, simulated annealing and a Hybrid
Intelligent Solution System (HISS). Computational results
of empirical experiments show that the Hybrid Intelligent
Solution System (HISS) is successful with regards to
solution quality and computational time.
Collections
Articoli a Rivista
2000 ed oltre
Superordinate work
 
no fulltext found International Journal of Advanced Robotic Systems
Autore: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Pubblicato: 2004
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Documents: International Journal of Advanced Robotic Systems
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Time of publication 2012
License information Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License

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