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Borg: An Auto-Adaptive Many-Objective Evolutionary Computing Framework

机译：博格：自适应多目标进化计算框架

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David Hadka; Patrick Reed;
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年度 2014
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1. Borg: An Auto-Adaptive Many-Objective Evolutionary Computing Framework [J] . David Hadka, Patrick Reed Evolutionary computation . 2013,第2期

机译：博格：一种自适应的多目标进化计算框架
2. Cooperative Evolutionary Framework With Focused Search for Many-Objective Optimization [J] . Jiahai Wang, Binzhong Cen, Shangce Gao, IEEE Transactions on Emerging Topics in Computational Intelligence . 2020,第3期

机译：合作进化框架，重点搜索多目标优化
3. DMaOEA-epsilon C: Decomposition-based many-objective evolutionary algorithm with the epsilon-constraint framework [J] . Li Juan, Li Jie, Pardalos Panos M., Information Sciences: An International Journal . 2020,第1期

机译：DMAOEA-EPSILON C：基于分解的多目标进化算法，具有epsilon-constraint框架
4. Evolutionary Computing Approaches for Solving Multi-Objective and Many-Objective Optimization Problems: A Review [C] . Spurti Sachin Shinde, Thangavelu S, Jeyakumar G International Conference on Computing, Communication, Control and Automation . 2019

机译：解决多目标和多目标优化问题的进化计算方法：综述
5. Toward Enhancement of Evolutionary Multi- and Many-objective Optimization: Algorithms, Performance Metrics, and Visualization Techniques [D] . Ibrahim, Amin. 2017

机译：旨在增强进化多目标和多目标优化：算法，性能指标和可视化技术
6. An Opposition-Based Evolutionary Algorithm for Many-Objective Optimization with Adaptive Clustering Mechanism [O] . Wan Liang Wang, Weikun Li, Yu Le Wang 2019

机译：自适应聚类机制的多目标优化基于反对派的进化算法
7. Implementation of ANL’s Mechanics Based Evolutionary Fatigue Modeling Through ABAQUS-WARP3D Based High-Performance Computing Framework [O] . Subhasish Mohanty, Bipul Barua, Joseph Listwan, 2018

机译：基于ABAQUS-WARP3D高性能计算框架的基于ANL的进化疲劳模拟的实施

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