Differential Evolution and Analytic Programming in the case of Trigonometric Identities Discovery

机译：三角恒等式发现中的差分演化和解析编程

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The paper deals with the discovery of trigonometric identities of four functions via Analytic Programming and four strategies of Differential evolution (canonical DE/Rand/l/Bin, chaos-based DE/Rand/l/Bin-Lozi, DE/Rand/l/Bin-Burgers and SHADE). The results showed that all four strategies were comparable for this specific task.

机译：本文通过解析编程和四种微分演化策略（规范DE / Rand / l / Bin，基于混沌的DE / Rand / l / Bin-Lozi，DE / Rand / l / Bin-Burgers和SHADE）。结果表明，所有四种策略在此特定任务上均具有可比性。

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《International Conference on Systems, Signals and Image Processing》|2018年|1-5|共5页
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Zuzana Kominkova Oplatkova; Roman Senkerik; Adam Viktorin;
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Programming; Estimation; Geometry; Task analysis; Evolutionary computation; Genetic programming; Optimization;

机译：程序设计;估计;几何;任务分析;进化计算;遗传程序设计;优化;

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3. Optimization of dynamic systems: A trigonometric differential evolution approach [J] . Rakesh Angira, Alladwar Santosh Computers & Chemical Engineering . 2007,第9期

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4. Differential Evolution and Analytic Programming in the case of Trigonometric Identities Discovery [C] . Zuzana Kominkova Oplatkova, Roman Senkerik, Adam Viktorin International Conference on Systems, Signals and Image Processing . 2018

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Differential Evolution and Analytic Programming in the case of Trigonometric Identities Discovery

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