Iterated Function System-Based Crossover Operation for Real-Coded Genetic Algorithm

S. H. Ling

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Iterated Function System-Based Crossover Operation for Real-Coded Genetic Algorithm

机译：基于迭代功能系统的实数编码遗传算法交叉运算

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An iterated function system crossover (IFSX) operation for real-coded genetic algorithms (RCGAs) is presented in this paper. Iterated?function system (IFS) is one type of fractals that maintains a similarity characteristic. By introducing the IFS into the crossover operation, the RCGA performs better searching solution with a faster convergence in a set of benchmark test functions.

机译：本文提出了一种用于实数编码遗传算法（RCGA）的迭代功能系统交叉（IFSX）操作。迭代功能系统（IFS）是一种具有相似性特征的分形。通过将IFS引入交叉操作，RCGA在一组基准测试功能中以更快的收敛速度执行了更好的搜索解决方案。

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《Journal of Intelligent Learning Systems and Applications》 |2015年第2期|共5页
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S. H. Ling;
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中图分类人工智能理论;
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3. Hybrid Crossover Operators with Multiple Descendents for Real-Coded Genetic Algorithms: Combining Neighborhood-Based Crossover Operators [J] . Ana M. Sanchez, Manuel Lozano, Pedro Villar, International journal of entelligent systems . 2009,第5期

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4. A robust real-coded genetic algorithm using unimodal normal distribution crossover augmented by uniform crossover: effects of self-adaptation of crossover probabilities [C] . Isao Ono, Hajime Kita, Shigenobu Kobayashi Genetic and evolutionary computation conference;GECCO-99;International conference on Genetic Algorithms;ICGA-99;Annual genetic programming conference;GP-99 . 1999

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5. Computationally intelligent CFD: Solving potential, viscous and non-Newtonian fluid flow problems using real-coded genetic algorithms. [D] . Bourisli, Raed. 2005

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6. An Improved Real-Coded Genetic Algorithm Using the Heuristical Normal Distribution and Direction-Based Crossover [O] . Jiquan Wang, Mingxin Zhang, Okan K. Ersoy, 2019

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7. Iterated Function System-Based Crossover Operation for Real-Coded Genetic Algorithm [O] . S. H. Ling 2015

机译：基于迭代功能系统的实际遗传算法的交叉操作

Iterated Function System-Based Crossover Operation for Real-Coded Genetic Algorithm

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