Spatial forest resource planning using a cultural algorithm with problem-specific Information

Wan Yu Liu*, Chun-Cheng Lin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


A cultural algorithm (CA) is proposed for the spatial forest resource planning problem that aims at maximizing the total timber volume harvested over a harvest planning schedule, subject to constraints of minimum harvest age, minimum adjacency green-up age, and approximately even volume flow for each period of the schedule. To increase the solution-search ability, the CA extracts problem-specific information during the evolutionary solution search to update the belief space of each generation, which has cultural influences and guidance on the next generation. The key design of the proposed CA is to propose the cultural and evolutionary operators specifically for the problem. This work is of high value as a comprehensive experimental analysis shows that the proposed CA rooted from evolutionary algorithm (EA) obtains 0.44%-1.13% better fitness and performs more stably than the previous best-known simulated annealing (SA) approach, which was shown to perform better than the EA previously.

Original languageEnglish
Pages (from-to)126-137
Number of pages12
JournalEnvironmental Modelling and Software
StatePublished - 1 Sep 2015


  • Cultural algorithm
  • Evolutionary algorithm
  • Forest planning
  • Harvest scheduling
  • Landscape design

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