Sustainability in agricultural is determined by aspects like economy, society and environment. Multi-objective programming (MOP) model has been a widely used tool for studying and analyzing the sustainability of agricultural system. However, optimization models in most applications are forced to use data which is uncertain. Recently, robust optimization has been used as an optimization model th...

Designing a large-scale complex system, such as a city of the future, with a focus on sustainability requires a systematic approach toward integrated design of all subsystems. Domains such as buildings, transportation, energy, and water are all coupled. Designing each one in isolation can lead to suboptimality where sustainability is achieved in one aspect but at the expense of other aspects. T...

The attention to sustainability-related issues has grown fast in recent decades. The experience gained with these themes reveals the importance of considering this topic in the construction industry, which represents an important sector throughout the world. This work consists on conducting a multicriteria analysis of four cement powders, with the objective of calculating and analysing the envi...

One of the most challenging problems on modern urban planning and one of the goals to be solved for smart city design is that of urban waste disposal. Given urban population growth, and that the amount of waste generated by each of us citizens is also growing, the total amount of waste to be collected and treated is growing dramatically (EPA 2011), becoming one sensitive issue for local governm...

in the recent decades, urbanization has affected social, economical, cultural, political and physical aspects of human life-style. presentation of sustainable development as one of the goals of the third millennium is derived from the effects of cities on earth and on different aspects of human life. undoubtedly, talking about sustainability and sustainable development would be impossible witho...

Diffusion processes in networks are increasingly used to model the spread of information and social influence. In several applications in computational sustainability such as the spread of wildlife, infectious diseases and traffic mobility pattern, the observed data often consists of only aggregate information. In this work, we present new models that generalize standard diffusion processes to ...

Computational Sustainability is a new emerging research field with the overall goal of studying and providing solutions to computational problems for balancing environmental, economic, and societal needs for a sustainable future. I will provide examples of challenge problems in Computational Sustainability, ranging from wildlife preservation and biodiversity, to balancing socio-economic needs a...

The notions of sustainability and sustainable development were first introduced in the seminal report of the United Nations World Commission on Environment and Development, known as the Brundtland report or Our Common Future [3]. Sustainable development is “development that meets the needs of the present without compromising the ability of future generations to meet their needs.” Sustainability...

In this paper, we explore a new approach to computational sustainability based on variational inequalities (VIs). Our challenge is to compute the steady state behaviors of networks of supply chains with possibly conflicting objectives. VIs provide a way to handle this problem of modeling large networks with numerous conflicting goals. Given the size of real-world networks, suitable algorithms m...