Generalized higher-level automated innovization with application to inventory management
暂无分享,去创建一个
Kalyanmoy Deb | Amos H. C. Ng | Sunith Bandaru | Tehseen Aslam | K. Deb | A. Ng | Sunith Bandaru | Tehseen Aslam
[1] Kalyanmoy Deb,et al. Hybrid evolutionary multi-objective optimization and analysis of machining operations , 2012 .
[2] John D. Sterman,et al. System Dynamics: Systems Thinking and Modeling for a Complex World , 2002 .
[3] Daisuke Sasaki,et al. Visualization and Data Mining of Pareto Solutions Using Self-Organizing Map , 2003, EMO.
[4] Shigeru Obayashi,et al. A New Design Method based on Cooperative Data Mining from Multi-Objective Design Space , 2009 .
[5] Sanaz Mostaghim,et al. Heatmap Visualization of Population Based Multi Objective Algorithms , 2007, EMO.
[6] Kalyanmoy Deb,et al. Automated Innovization for Simultaneous Discovery of Multiple Rules in Bi-objective Problems , 2011, EMO.
[7] J. Sterman. Business Dynamics , 2000 .
[8] Kalyanmoy Deb,et al. Simulation-based Innovization for production systems improvement : An industrial case study , 2009 .
[9] Shigeru Obayashi,et al. Multi-objective optimization and design rule mining for an aerodynamically efficient and stable centrifugal impeller with a vaned diffuser , 2010 .
[10] O. C. Torres,et al. The Bullwhip Effect in supply chains : a review of methods, components, and cases , 2006 .
[11] Kalyanmoy Deb,et al. A Dimensionally-Aware Genetic Programming Architecture for Automated Innovization , 2013, EMO.
[12] Kalyanmoy Deb,et al. Reliability-Based Optimization Using Evolutionary Algorithms , 2009, IEEE Transactions on Evolutionary Computation.
[13] Kalyanmoy Deb,et al. Multi-Speed Gearbox Design Using Multi-Objective Evolutionary Algorithms , 2003 .
[14] Alfred Inselberg,et al. Parallel Coordinates: Visual Multidimensional Geometry and Its Applications , 2003, KDIR.
[15] Kalyanmoy Deb,et al. Higher and lower-level knowledge discovery from Pareto-optimal sets , 2013, J. Glob. Optim..
[16] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[17] Ramón Quiza Sardiñas,et al. Genetic algorithm-based multi-objective optimization of cutting parameters in turning processes , 2006, Eng. Appl. Artif. Intell..
[18] Kalyanmoy Deb,et al. Towards automating the discovery of certain innovative design principles through a clustering-based optimization technique , 2011 .
[19] Aravind Srinivasan,et al. Innovization: innovating design principles through optimization , 2006, GECCO.
[20] John D. Sterman,et al. Operational and behavioral causes of supply chain instability , 2006 .
[21] Koji Shimoyama,et al. Review of data mining for multi-disciplinary design optimization , 2011 .
[22] Kalyanmoy Deb,et al. Deciphering innovative principles for optimal electric brushless D.C. permanent magnet motor design , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[23] Akira Oyama,et al. Data Mining of Pareto-Optimal Transonic Airfoil Shapes Using Proper Orthogonal Decomposition , 2009 .