SHAMODE / SHAMODE-WO,

バージョン 1.0.2 (12.5 KB) 作成者: Natee Panagant
Success History–based Adaptive Multi-Objective Differential Evolution (SHAMODE) and the Whale Optimization hybrid version (SHAMODE-WO)
ダウンロード: 298
更新 2020/9/24

ライセンスの表示

Two constrained multiobjective metaheuristics are presented.
1) Success History–based Adaptive Multi-Objective Differential Evolution (SHAMODE) is an improved multiobjective version of Success History-based Adaptive Differential Evolution (SHADE) by integrating modified adaptive strategies and non-dominated sorting algorithm.
2) Success History–based Adaptive Multi-Objective Differential Evolution with Whale Optimization (SHAMODE-WO) is an improved multiobjective version of Success History-based Adaptive Differential Evolution (SHADE) by integrating modified adaptive strategies, non-dominated sorting algorithm, and additional population update operator from Whale Optimization Algorithm (WOA).

The algorithms are published in:
Panagant, N., Bureerat, S., & Tai, K. (2019). A novel self-adaptive hybrid multi-objective meta-heuristic for reliability design of trusses with simultaneous topology, shape and sizing optimisation design variables. Structural and Multidisciplinary Optimization, 60(5), 1937-1955. DOI: https://doi.org/10.1007/s00158-019-02302-x

引用

Panagant, Natee, et al. “A Novel Self-Adaptive Hybrid Multi-Objective Meta-Heuristic for Reliability Design of Trusses with Simultaneous Topology, Shape and Sizing Optimisation Design Variables.” Structural and Multidisciplinary Optimization, vol. 60, no. 5, Springer Science and Business Media LLC, June 2019, pp. 1937–55, doi:10.1007/s00158-019-02302-x.

その他のスタイルを見る
MATLAB リリースの互換性
作成: R2018b
すべてのリリースと互換性あり
プラットフォームの互換性
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
バージョン 公開済み リリース ノート
1.0.2

Fix some bugs

1.0.1

Update license file

1.0.0