Challenges for Constraint Reasoning and Optimization in Computational Sustainability

  • Carla P. Gomes
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5732)

Abstract

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 and the environment, to large-scale deployment and management of renewable energy sources, highlighting overarching computational themes in constraint reasoning and optimization and interactions with machine learning, and dynamical systems. I will also discuss the need for a new approach to study such challenging problems in which computational problems are viewed as “natural” phenomena, amenable to a scientific methodology in which principled experimentation, to explore problem parameter spaces and hidden problem structure, plays as prominent a role as formal analysis.

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References

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    IPCC. Fourth assessment report (AR4). Technical report, United Nations Intergovernmental Panel on Climate Change, IPCC (2007)Google Scholar
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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Carla P. Gomes
    • 1
  1. 1.Cornell UniversityIthacaUSA

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