Autori: Grigore Albeanu, Florin Popentiu –Vladicescu, Bernard Burtschy
Editorial: Proceedings of MASR (MODELLING and ANALYSIS of SAFETY and RISK in COMPLEX SYSTEMS), July 03 - July 07, 2012, Saint-Petersburg, Russia, 2012.
Traditional optimization methods applied to solve real life problems can experience local or unstable behavior. Researchers proposed recently non-traditional search and optimization methods based on natural phenomena like natural evolution, social behavior, and annealing. This paper considers migration algorithms and bees’ algorithms as good candidates to solve multi-objective optimization problems.
Cuvinte cheie: multi-objective optimization, evolution strategies, natural evolution, social behavior // multi-objective optimization, evolution strategies, natural evolution, social behavior