Evolutionary Computation: An Emerging Framework for Practical Single and Multicriterion Optimization and Decision Making
暂无分享,去创建一个
[1] Kalyanmoy Deb,et al. Generating Well-Spaced Points on a Unit Simplex for Evolutionary Many-Objective Optimization , 2020, IEEE Transactions on Evolutionary Computation.
[2] Kalyanmoy Deb,et al. Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification , 2019, IEEE Transactions on Evolutionary Computation.
[3] Kalyanmoy Deb,et al. Constrained Bi-objective Surrogate-Assisted Optimization of Problems with Heterogeneous Evaluation Times: Expensive Objectives and Inexpensive Constraints , 2021, EMO.
[4] K. Deb,et al. Surrogate Modeling Approaches for Multiobjective Optimization: Methods, Taxonomy, and Results , 2020, Mathematical and Computational Applications.
[5] Kevin R. Hutson,et al. Swing shift: a mathematical approach to defensive positioning in baseball , 2020 .
[6] Kalyanmoy Deb,et al. PaletteViz: A Visualization Method for Functional Understanding of High-Dimensional Pareto-Optimal Data-Sets to Aid Multi-Criteria Decision Making , 2020, IEEE Computational Intelligence Magazine.
[7] Roman Słowiński,et al. Preference-based cone contraction algorithms for interactive evolutionary multiple objective optimization , 2020, Swarm Evol. Comput..
[8] Kalyanmoy Deb,et al. Pymoo: Multi-Objective Optimization in Python , 2020, IEEE Access.
[9] Kevin R. Hutson,et al. Dynamically scheduling NFL games to reduce strength of schedule variability , 2020 .
[10] Kalyanmoy Deb,et al. A Taxonomy for Metamodeling Frameworks for Evolutionary Multiobjective Optimization , 2019, IEEE Transactions on Evolutionary Computation.
[11] Ye Tian,et al. A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization , 2019, IEEE Transactions on Evolutionary Computation.
[12] Risto Miikkulainen,et al. Designing neural networks through neuroevolution , 2019, Nat. Mach. Intell..
[13] Xin Yao,et al. R-Metric: Evaluating the Performance of Preference-Based Evolutionary Multiobjective Optimization Using Reference Points , 2018, IEEE Transactions on Evolutionary Computation.
[14] J. Barahona,et al. Storytelling with Data , 2018 .
[15] Kaisa Miettinen,et al. A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization , 2018, IEEE Transactions on Evolutionary Computation.
[16] Kalyanmoy Deb,et al. A population-based fast algorithm for a billion-dimensional resource allocation problem with integer variables , 2017, Eur. J. Oper. Res..
[17] Sheldon Howard Jacobson,et al. Identifying NCAA tournament upsets using Balance Optimization Subset Selection , 2017 .
[18] Lamjed Ben Said,et al. Dynamic Multi-objective Optimization Using Evolutionary Algorithms: A Survey , 2017, Recent Advances in Evolutionary Multi-objective Optimization.
[19] C. Harrison,et al. Sport Business Analytics : Using Data to Increase Revenue and Improve Operational Efficiency , 2016 .
[20] Sameer K. Deshpande,et al. Estimating an NBA player’s impact on his team’s chances of winning , 2016, 1604.03186.
[21] Tea Tusar,et al. Visualization of Pareto Front Approximations in Evolutionary Multiobjective Optimization: A Critical Review and the Prosection Method , 2015, IEEE Transactions on Evolutionary Computation.
[22] S. Jacobson,et al. Modeling the winning seed distribution of the NCAA Division I men׳s basketball tournament ☆ , 2015 .
[23] Daniel Jato-Espino,et al. A review of application of multi-criteria decision making methods in construction , 2014 .
[24] Kalyanmoy Deb,et al. An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach , 2014, IEEE Transactions on Evolutionary Computation.
[25] Kalyanmoy Deb,et al. An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints , 2014, IEEE Transactions on Evolutionary Computation.
[26] Marjan Mernik,et al. Exploration and exploitation in evolutionary algorithms: A survey , 2013, CSUR.
[27] Xin Yao,et al. Dynamic Multi-objective Optimization: A Survey of the State-of-the-Art , 2013 .
[28] Mark R. Grabau. Softball Scheduling as Easy as 1-2-3 (Strikes You're Out) , 2012, Interfaces.
[29] Tallys H. Yunes,et al. Scheduling Major League Baseball Umpires and the Traveling Umpire Problem , 2012, Interfaces.
[30] C. D. Meyer,et al. Who's #1?: The Science of Rating and Ranking , 2012 .
[31] Jun Zhang,et al. Evolutionary Computation Meets Machine Learning: A Survey , 2011, IEEE Computational Intelligence Magazine.
[32] Yaochu Jin,et al. Surrogate-assisted evolutionary computation: Recent advances and future challenges , 2011, Swarm Evol. Comput..
[33] Kalyanmoy Deb,et al. Toward an Estimation of Nadir Objective Vector Using a Hybrid of Evolutionary and Local Search Approaches , 2010, IEEE Transactions on Evolutionary Computation.
[34] Kalyanmoy Deb,et al. An Interactive Evolutionary Multiobjective Optimization Method Based on Progressively Approximated Value Functions , 2010, IEEE Transactions on Evolutionary Computation.
[35] José M. Valério de Carvalho,et al. An integer programming model for two- and three-stage two-dimensional cutting stock problems , 2010, Eur. J. Oper. Res..
[36] Erich Kreutzer,et al. Mathematics and Sports: Bracketology: How can math help? , 2010 .
[37] Kalyanmoy Deb,et al. Reliability-Based Optimization Using Evolutionary Algorithms , 2009, IEEE Transactions on Evolutionary Computation.
[38] J. Bradbury. Peak athletic performance and ageing: Evidence from baseball , 2009, Journal of sports sciences.
[39] Dries R. Goossens,et al. Scheduling the Belgian Soccer League , 2009, Interfaces.
[40] Qing Li,et al. Multiobjective optimization for crash safety design of vehicles using stepwise regression model , 2008 .
[41] Deeparnab Chakrabarty,et al. Knapsack Problems , 2008 .
[42] Kalyanmoy Deb,et al. On finding multiple Pareto-optimal solutions using classical and evolutionary generating methods , 2007, Eur. J. Oper. Res..
[43] P. Mucha,et al. Random Walker Ranking for NCAA Division I-A Football , 2003, Am. Math. Mon..
[44] Joel Sokol,et al. A logistic regression/Markov chain model for NCAA basketball , 2006 .
[45] Marjan Mernik,et al. BI OM A 20 06 P roo fs ENTROPY-DRIVEN EXPLORATION AND EXPLOITATION IN EVOLUTIONARY ALGORITHMS , 2006 .
[46] B. Jay Coleman,et al. Minimizing Game Score Violations in College Football Rankings , 2005, Interfaces.
[47] M. Ramachandran,et al. Application of multi-criteria decision making to sustainable energy planning--A review , 2004 .
[48] A. E. Eiben,et al. Introduction to Evolutionary Computing , 2003, Natural Computing Series.
[49] Alex A. Freitas,et al. A survey of evolutionary algorithms for data mining and knowledge discovery , 2003 .
[50] Risto Miikkulainen,et al. Evolving Neural Networks through Augmenting Topologies , 2002, Evolutionary Computation.
[51] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[52] K. Deb. An Efficient Constraint Handling Method for Genetic Algorithms , 2000 .
[53] Sanjay V. Rajopadhye,et al. Unbounded knapsack problem: Dynamic programming revisited , 2000, Eur. J. Oper. Res..
[54] Gary B. Lamont,et al. Multiobjective evolutionary algorithm test suites , 1999, SAC '99.
[55] Gary B. Lamont,et al. Multiobjective evolutionary algorithms: classifications, analyses, and new innovations , 1999 .
[56] Lothar Thiele,et al. Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study , 1998, PPSN.
[57] John E. Dennis,et al. Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems , 1998, SIAM J. Optim..
[58] P. Harker,et al. Scheduling a Major College Basketball Conference , 1998 .
[59] David H. Wolpert,et al. No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..
[60] Kalyanmoy Deb,et al. Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms , 1994, Evolutionary Computation.
[61] Pekka Korhonen,et al. A Visual Interactive Method for Solving the Multiple-Criteria Problem , 1986 .
[62] Andrzej P. Wierzbicki,et al. The Use of Reference Objectives in Multiobjective Optimization , 1979 .
[63] H. T. Kung,et al. On Finding the Maxima of a Set of Vectors , 1975, JACM.
[64] J. B. Rosen. The Gradient Projection Method for Nonlinear Programming. Part I. Linear Constraints , 1960 .
[65] K. Arrow. A Difficulty in the Concept of Social Welfare , 1950, Journal of Political Economy.