Evaluating the performance of the genetic neuro scheduler using constant as well as changing crossover and mutation rates-Reference-Cited by-同舟云学术

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Evaluating the performance of the genetic neuro scheduler using constant as well as changing crossover and mutation rates

Published:1997-10 Issue:1-2 Volume:33 Page:253-256
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Dagli C.H.,Schierholt K.

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference2 articles.

1. Genetic Neuro Scheduler: A new approach for job shop scheduling;Dagli;Int. J. Production Economics,1995

2. Genetic-Neuro Scheduler;Sittisathanchai,1994

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Searching for the Effective Bidding Strategy Using Parameter Tuning in Genetic Algorithm;Agent-Based Evolutionary Search;2010

2. Transfer batch scheduling using genetic algorithms;International Journal of Production Research;2008-02-15

3. Genetic algorithms applied in online autotuning PID parameters of a liquid-level control system;Transactions of the Institute of Measurement and Control;2003-12

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