Article
Biogeography-Based Optimization Taking Fuzzy Load Uncertainty Account
A Biogeography-Based Optimisation approach is introduced in this work to resolve complex optimisation problems with fuzzy load uncertainty. In systems involving power and resource distribution, the data used by traditional methods of optimisation is often unclear or imprecise. The selected strategy manages unexpected changes in workload by using fuzzy logic in the BBO architecture, ensuring better and more long-lasting results. It considers the fuzzy changes in system load when determining habitat suitability and animal movement. Experiments show that simulation performs better than traditional methods in terms of fast convergence, accurate results and how well it changes with changing conditions. This style of decision-making really excels when conditions are uncertain and things are always changing.
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