Bio-inspired optimisation algorithms draw inspiration from natural processes and the adaptive behaviours of living organisms to address high-dimensional, nonlinear and multi-modal problems. By ...

Bio-inspired optimisation algorithms draw upon mechanisms observed in nature to address complex global optimisation tasks. These methods harness principles such as genetic evolution, swarm ...

Among the primary concerns surrounding artificial intelligence is its tendency to yield erroneous information when summarizing long documents. These “hallucinations” are problematic not only because ...