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Designing Multi-Objective Variation Operators Using a Predator-Prey Approach

机译：使用捕食者 - 食饵方法设计多目标变异算子

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Christian Grimme;
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年度 2007
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1. Boolean Operators to Improve Multi-Objective Evolutionary Algorithms for Designing Optical Networks [J] . Carmelo J. A. Bastos-Filho, Nadja J. da S. Lima, Danilo R. B. Araújo Journal of Microwaves, Optoelectronics and Electromagnetic Applications . 2016,第4期

机译：布尔运算符，用于改进设计光网络的多目标进化算法
2. comparative study of variation operators used for evolutionary multi-objective optimization [J] . Isolina Alberto, Carlos A. Coello Coello, Pedro M. Mateo Information Sciences: An International Journal . 2014,第Null期

机译：进化多目标优化的变异算子的比较研究
3. Multi-objective protein encoding: Redefinition of the problem, new problem-aware operators, and approach based on Variable Neighborhood Search [J] . Gonzalez-Sanchez Belen, Vega-Rodriguez Miguel A., Santander-Jimenez Sergio Information Sciences: An International Journal . 2019,第期

机译：多目标蛋白编码：重新定义问题，新的问题感知运算符和基于可变邻域搜索的方法
4. Designing Multi-objective Variation Operators Using a Predator-Prey Approach [C] . Christian Grimme, Joachim Lepping Evolutionary Multi-Criterion Optimization; Lecture Notes in Computer Science; 4403 . 2007

机译：使用捕食-被捕食方法设计多目标变分算子
5. Variations in how faculty approach the process of designing courses in higher education: A phenomenographic study. [D] . Ziegenfuss, Donna Harp. 2007

机译：教师在高等教育课程设计过程中的方式变化：现象学研究。
6. A multi-objective approach for designing optimized operation sequence on binary image processing [O] . Claudio Lezcano, José Luis Vázquez Noguera, Diego P. Pinto-Roa, 2020

机译：在二进制图像处理中设计优化操作序列的多目标方法
7. Exploring the Behavior of Building Blocks for Multi-Objective Variation Operator Design using Predator-Prey Dynamics [O] . Christian Grimme, Joachim Lepping, Alexander Papaspyrou 2007

机译：利用捕食者－猎物动力学探索多目标变异算子设计的构建块行为
8. A Variational Inequality Approach to the Bellman-Dirichlet Equation for Two Elliptic Operators. [R] . brezis, h. evans, l. c. 1977

机译：两个椭圆算子Bellman-Dirichlet方程的变分不等式。

Designing Multi-Objective Variation Operators Using a Predator-Prey Approach

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