Model-Based Proposal Learning for Monte Carlo Optimization of Redundancy Allocation Problem
Most existing approaches to heterogeneous redundancy allocation problem (RAP) are prone to getting trapped in local optimal modes during optimization, mainly due to the rugged combinatoric landscapes. Recently, optimization-by-sampling paradigm based on the stochastic approximation Monte Carlo (SAMC...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8453039/ |