摘要
By avoiding or reducing the production of waste, waste minimization is an effective approach to solve
the pollution problem in chemical industry. Process integration supported by multi-objective optimization provides
a framework for process design or process retrofit by simultaneously optimizing on the aspects of environment and
economics. Multi-objective genetic algorithm is applied in this area as the solution approach for the multi-objective
optimization problem.
By avoiding or reducing the production of waste, waste minimization is an effective approach to solve the pollution problem in chemical industry. Process integration supported by multi-objective optimization provides a framework for process design or process retrofit by simultaneously optimizing on the aspects of environment and economics. Multi-objective genetic algorithm is applied in this area as the solution approach for the multi-objective optimization problem.
