Abstract
We examine the poor performance of Discrete Particle Swarm Optimization when applied to forest planning, a combinatorial optimization problem in which the goal is to maintain an even flow of timber from a forested area of multiple plots over several time periods while cutting each plot no more than once and no two adjacent plots within the same period. We suggest an alternative priority representation using Particle Swarm Optimization with real numbers and justify it with experimental results.
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Brooks, P.W., Potter, W.D. (2011). Forest Planning Using Particle Swarm Optimization with a Priority Representation. In: Mehrotra, K.G., Mohan, C.K., Oh, J.C., Varshney, P.K., Ali, M. (eds) Modern Approaches in Applied Intelligence. IEA/AIE 2011. Lecture Notes in Computer Science(), vol 6704. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21827-9_32
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DOI: https://doi.org/10.1007/978-3-642-21827-9_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21826-2
Online ISBN: 978-3-642-21827-9
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