Near Feasibility Driven Adaptive Penalty Functions Embedded MOEA/D

Near Feasibility Driven Adaptive Penalty Functions Embedded MOEA/D

This work extends a near feasibility threshold (NFT) based adaptive penalty function for constrained multiobjective optimization. The NFT zone adjoining the feasible region is considered as good one, where infeasible solutions are relatively less penalized. The modified penalty function, denoted by...

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Bibliographic Details
Main Authors: Akhtar Munir Khan, Muhammad Asif Jan, Muhammad Sagheer, Rashida Adeeb Khanum, Muhammad Irfan Uddin, Shafiq Ahmad, Shamsul Huda
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Constrained optimization
penalty function methods
near feasibility threshold
multiobjective optimization based on decomposition
Online Access:https://ieeexplore.ieee.org/document/10256221/

Internet

https://ieeexplore.ieee.org/document/10256221/

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