Utilizing Innovization to Solve Large-Scale Multi-Objective Chesapeake Bay Watershed Problem
Author:
Affiliation:
1. Michigan State University,Electrical and Computer Eng.,East Lansing,U.S.A.
2. Michigan State University,Biosystems and Agricultural Eng.,East Lansing,U.S.A.
3. Chesapeake Bay Program Office,Environmental Protection Agency,Annapolis,U.S.A.
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10253662/10253666/10254161.pdf?arnumber=10254161
Reference18 articles.
1. An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach
2. Large-scale Multi-objective Optimization for Water Quality in Chesapeake Bay Watershed
3. Integration of data mining and multi-objective optimisation for decision support in production systems development;dudas;International Journal of Computer Integrated Manufacturing,2013
4. Django Software Foundation;Django,0
5. Pay for Performance: Optimizing public investments in agricultural best management practices in the Chesapeake Bay Watershed
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