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  1. International Journal of Machine Learning and Cybernetics
  2. International Journal of Machine Learning and Cybernetics : Volume 8
  3. International Journal of Machine Learning and Cybernetics : Volume 8, Issue 5, October 2017
  4. An uncertain multi-objective programming model for machine scheduling problem
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International Journal of Machine Learning and Cybernetics : Volume 8
International Journal of Machine Learning and Cybernetics : Volume 8, Issue 6, December 2017
International Journal of Machine Learning and Cybernetics : Volume 8, Issue 5, October 2017
Approximation and its implementation process of the stochastic hybrid fuzzy system
Analysis of spatiotemporal data relationship using information granules
Recognition of college students from Weibo with deep neural networks
Face sketch-photo recognition using local gradient checksum: LGCS
Decentralized feedback control for wireless sensor and actuator networks with multiple controllers
Parity symmetrical collaborative representation-based classification for face recognition
An uncertain multi-objective programming model for machine scheduling problem
Quasi-uniform stability of Caputo-type fractional-order neural networks with mixed delay
A selective neural network ensemble classification for incomplete data
Representation of graphs based on neighborhoods and soft sets
K-Proximal plane clustering
Lexicography minimum solution of fuzzy relation inequalities: applied to optimal control in P2P file sharing system
The further investigation of variable precision intuitionistic fuzzy rough set model
Cross kernel distance minimization for designing support vector machines
Optimal fractional order PID controller design for automatic voltage regulator system based on reference model using particle swarm optimization
Anti-periodic solutions for cellular neural networks with oscillating coefficients in leakage terms
Incremental enhanced α-expansion move for large data: a probability regularization perspective
Scheduling for multi-stage applications with scalable virtual resources in cloud computing
The mean shift method of chaotic sequences in the study of compressive sensing
Relevance vector machines using weighted expected squared distance for ore grade estimation with incomplete data
Tracking human poses in various scales with accurate appearance
An uncertain workforce planning problem with job satisfaction
RGB channel based decision tree grey-alpha medical image steganography with RSA cryptosystem
Adaptive neural dynamic global PID sliding mode control for MEMS gyroscope
Research on denoising sparse autoencoder
International Journal of Machine Learning and Cybernetics : Volume 8, Issue 4, August 2017
International Journal of Machine Learning and Cybernetics : Volume 8, Issue 3, June 2017
International Journal of Machine Learning and Cybernetics : Volume 8, Issue 2, April 2017
International Journal of Machine Learning and Cybernetics : Volume 8, Issue 1, February 2017
International Journal of Machine Learning and Cybernetics : Volume 7
International Journal of Machine Learning and Cybernetics : Volume 6
International Journal of Machine Learning and Cybernetics : Volume 5
International Journal of Machine Learning and Cybernetics : Volume 4
International Journal of Machine Learning and Cybernetics : Volume 3
International Journal of Machine Learning and Cybernetics : Volume 2
International Journal of Machine Learning and Cybernetics : Volume 1

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An uncertain multi-objective programming model for machine scheduling problem

Content Provider Springer Nature Link
Author Ning, Yufu Chen, Xiumei Wang, Zhiyong Li, Xiangying
Copyright Year 2016
Abstract This paper discusses a parallel machine scheduling problem in which the processing times of jobs and the release dates are independent uncertain variables with known uncertainty distributions. An uncertain programming model with multiple objectives is obtained, whose first objective is to minimize the maximum completion time or makespan, and second objective is to minimize the maximum tardiness time. A genetic algorithm is employed to solve the proposed uncertain machine scheduling model, and its efficiency is illustrated by some numerical experiments.
Starting Page 1493
Ending Page 1500
Page Count 8
File Format PDF
ISSN 18688071
Journal International Journal of Machine Learning and Cybernetics
Volume Number 8
Issue Number 5
e-ISSN 1868808X
Language English
Publisher Springer Berlin Heidelberg
Publisher Date 2016-03-21
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Machine scheduling problem Uncertain variable Uncertain programming Genetic algorithm Computational Intelligence Artificial Intelligence (incl. Robotics) Control, Robotics, Mechatronics Complex Systems Systems Biology Pattern Recognition
Content Type Text
Resource Type Article
Subject Artificial Intelligence Computer Vision and Pattern Recognition Software
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