Abstract: Multi-objective evolutionary algorithms (MOEAs) have demonstrated significant success in solving multi-objective optimization problems (MOPs). However, their performance is highly sensitive ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

At Deluisio Angus near Leechburg, PA, a reasoning model plans matings while deterministic engines compute every EPD, dollar value and inbreeding coefficient. Artificial intelligence picks the sire, ...

Against the backdrop of global change—characterized by climate warming, shifting precipitation patterns, and intensified anthropogenic disturbances—the ...