1. Overview
Forestry context
Objective Function
Simulated annealing
outputs
2. Data Prep
fvs
queries
4D array (management alternatives, stands, years, variables)
axis maps
non-sparse
restricted rxs
3. Calibrating the Objective Function
Strategies
incremental improvement in metric is required, no binary
Weighting
Targets
4. Optimizing
Temperature parameters
iterations
running
evaluating outputs
用于优化木材采伐计划的模拟退火_python_代码_下载
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2022-06-21
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harvest-scheduler-master.zip （20个子文件） 
harvest-schedster 
.gitignore 405B setup.cfg 135B README.rst 2KB tests test_scheduler.py 1KB run_tests.sh 87B docs README.md 401B img 
anneal1.png 20KB console.png 99KB anneal2.png 32KB examples example1.py 2KB HISTORY.rst 315B harvestscheduler plot.py 2KB _scheduler.py 12KB prep_data.py 17KB utils.py 1KB __init__.py 104B
requirements.txt 30B LICENSE.txt 1KB MANIFEST.in 59B setup.py 2KB资源评论
