A multiobjective optimization model for designing and optimizing an ecological industrial park

The goals of an ecological industrial park are to reduce waste and pollution and to share resource efficiently. Thus, the concept of this model encourages development of synergy and leverage of resource networks. To the best of our knowledge, there is currently no other general model for designing and optimizing exchange material/energy flows inside an industrial park. The purpose of this work is to propose an advanced dynamic multiobjective model which is capable of maximizing the total quantity of exchange flows and the total economic benefit of a targeted industrial park. Simulations have been performed by using NIMBUS (Nondifferentiable Interactive Multiobjective Bundle-based optimization System) method. This model can assure a win-win situation for industries and environment.