2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/32785A dissipative particle swarm optimization is developed according to the self-organization of dissipative structure. The negative entropy is introduced to construct an opening dissipative system that is far-from-equilibrium so as to driving the irreversible evolution process with better fitness. The testing of two multimodal functions indicates it improves the performance effectivelyProceedings of the 2002 Congress on Evolutionary Computation, 2002. Volume: 2, On page(s): 1456-1461Neural and Evolutionary Computingtext