相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。A dynamic multiobjective evolutionary algorithm based on a dynamic evolutionary environment model
Juan Zou et al.
SWARM AND EVOLUTIONARY COMPUTATION (2019)
Resilient design and operations of process systems: Nonlinear adaptive robust optimization model and algorithm for resilience analysis and enhancement
Jian Gong et al.
COMPUTERS & CHEMICAL ENGINEERING (2018)
A dynamic multi-objective evolutionary algorithm using a change severity-based adaptive population management strategy
Radhia Azzouz et al.
SOFT COMPUTING (2017)
Dynamic scheduling in steelmaking-continuous casting production for continuous caster breakdown
Jianyu Long et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2017)
A coevolutionary technique based on multi-swarm particle swarm optimization for dynamic multi-objective optimization
Ruochen Liu et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2017)
A Steady-State and Generational Evolutionary Algorithm for Dynamic Multiobjective Optimization
Shouyong Jiang et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2017)
Solving Multiobjective Optimization Problems in Unknown Dynamic Environments: An Inverse Modeling Approach
Sen Bong Gee et al.
IEEE TRANSACTIONS ON CYBERNETICS (2017)
A multi-stage dynamic soft scheduling algorithm for the uncertain steelmaking-continuous casting scheduling problem
Sheng-long Jiang et al.
APPLIED SOFT COMPUTING (2017)
A multi-objective evolutionary algorithm guided by directed search for dynamic scheduling
Du-Juan Wang et al.
COMPUTERS & OPERATIONS RESEARCH (2017)
An effective co-evolutionary artificial bee colony algorithm for steelmaking-continuous casting scheduling
Quan-Ke Pan
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2016)
Adaptive Cross-Generation Differential Evolution Operators for Multiobjective Optimization
Xin Qiu et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2016)
Evolutionary Dynamic Multiobjective Optimization Via Kalman Filter Prediction
Arrchana Muruganantham et al.
IEEE TRANSACTIONS ON CYBERNETICS (2016)
A discrete teaching-learning-based optimisation algorithm for realistic flowshop rescheduling problems
Jun-qing Li et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2015)
Tracking global optima in dynamic environments with efficient global optimization
Sergio Morales-Enciso et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2015)
Mathematical modeling and multi-objective evolutionary algorithms applied to dynamic flexible job shop scheduling problems
Xiao-Ning Shen et al.
INFORMATION SCIENCES (2015)
A directed search strategy for evolutionary dynamic multiobjective optimization
Yan Wu et al.
SOFT COMPUTING (2015)
An effective Lagrangian relaxation approach for rescheduling a steelmaking-continuous casting process
Kun Mao et al.
CONTROL ENGINEERING PRACTICE (2014)
An Improved Differential Evolution Algorithm for Practical Dynamic Scheduling in Steelmaking-Continuous Casting Production
Lixin Tang et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2014)
An Effective Artificial Bee Colony Algorithm for a Real-World Hybrid Flowshop Problem in Steelmaking Process
Quan-Ke Pan et al.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2013)
Two-Stage Mathematical Programming Approach for Steelmaking Process Scheduling Under Variable Electricity Price
Yuan-yuan TAN et al.
JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL (2013)
Evolutionary dynamic optimization: A survey of the state of the art
Trung Thanh Nguyen et al.
SWARM AND EVOLUTIONARY COMPUTATION (2012)
Analysis of Random Disturbances on Shop Floor in Modern Steel Production Dynamic Environment
Dong-liang Hou et al.
2012 INTERNATIONAL WORKSHOP ON INFORMATION AND ELECTRONICS ENGINEERING (2012)
Artificial immune system in dynamic environments solving time-varying non-linear constrained multi-objective problems
Zhuhong Zhang et al.
SOFT COMPUTING (2011)
Shifting representation search for hybrid flexible flowline problems
Thijs Urlings et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2010)
Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II
Hui Li et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2009)
Dynamic multiobjective optimization problems: Test cases, approximations, and applications
M Farina et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2004)
A fast and elitist multiobjective genetic algorithm: NSGA-II
K Deb et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)
分享论文
