SHAMODE / SHAMODE-WO,
Success History–based Adaptive Multi-Objective Differential Evolution (SHAMODE) and the Whale Optimization hybrid version (SHAMODE-WO)
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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
Cite As
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.
General Information
- Version 1.0.2 (12.5 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
