Bezier Search Differential Evolution Algorithm for numerical function optimization: A comparative study with CRMLSP, MVO, WA, SHADE and LSHADE

作者：

Highlights：

• A new parameter-free crossover operator.

• A new multi-component mutation operator.

• A new Universal Differential Evolution Algorithm.

• Real-valued evolutionary search for numerical function optimization.

• Evolutionary 3D viewshed analysis.

摘要

•A new parameter-free crossover operator.•A new multi-component mutation operator.•A new Universal Differential Evolution Algorithm.•Real-valued evolutionary search for numerical function optimization.•Evolutionary 3D viewshed analysis.

论文关键词：Covariance Matrix learning and searching preference (CRMLSP),Mean Variance Optimization Algorithm (MVO),Without approximation optimization (WA),Success history based adaptive differential evolution (SHADE),Linear population size reduction adaptive differential evolution (LSHADE),3D viewshed analysis for UAV photogrammetry

论文评审过程：Received 25 February 2020, Revised 28 July 2020, Accepted 8 August 2020, Available online 15 August 2020, Version of Record 19 August 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113875