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A FLEXIBLE OBJECTIVE-CONSTRAINT APPROACH AND A NEW ALGORITHM FOR CONSTRUCTING THE PARETO FRONT OF MULTIOBJECTIVE OPTIMIZATION PROBLEMS被引量:1
《Acta Mathematica Scientia》2024年第2期702-720,共19页N.HOSEINPOOR M.GHAZNAVI 
In this article, a novel scalarization technique, called the improved objective-constraint approach, is introduced to find efficient solutions of a given multiobjective programming problem. The presented scalarized pr...
关键词:multiobjective optimization Pareto front SCALARIZATION objective-constraint approach proper efficient solution 
A refined risk explicit interval linear programming approach for optimal watershed load reduction with objective-constraint uncertainty tradeoff analysis
《Frontiers of Environmental Science & Engineering》2016年第1期129-140,共12页Pingjian YANG Feifei DONG Yong LIU Rui ZOU Xing CHEN Huaicheng GUO 
This paper was supported by the National Natural Science Foundation of China (Grant No. 41222002), Research Fund for the Doctoral Program of Higher Education of China (20100001120020) and "China National Water Pollution Control Program" (2013ZX07102-006). Special thanks to Dr. Daniel Obenour in University of Michigan.
To enhance the effectiveness of watershed load reduction decision making, the Risk Explicit Interval Linear Programming (REILP) approach was developed in previous studies to address decision risks and system returns...
关键词:refined risk explicit interval linear program-ming decision making objective-constraint uncertaintytradeoff aspiration level Lake Qionghai Watershed 
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