The Use of Genetic Algorithms to Solve the Allocation Problems in the Life Cycle Inventory

摘要: One of the most controversial issues in development Life Cycle Inventory (LCI) is allocation procedure, which consists partition and distribution economic flows environmental burdens among to each products a multi-output system. Because use represents source uncertainty LCI results, authors present new approach based on genetic algorithms (GAs) solve systems characterized by rectangular matrix technological coefficients, without using computational methods such as procedure. In this Chapter, GAs’ applied an ancillary case study related cogeneration process. detail, hypothesized that there are following processes study: (1) electricity heat; (2) co-production diesel light fuel oil; (3) copper recycled copper. The energy mass balances respected means specific bonds limit space GA searches solution. results show low differences between inventory vector derived from application one obtained applying substitution method procedure content outputs. To avoid allocation, calculate seems be promising method.