互补性(分子生物学)
数学优化
路径(计算)
加法函数
序列二次规划
非线性互补问题
计算机科学
数学
混合互补问题
非线性系统
二次规划
物理
程序设计语言
量子力学
遗传学
数学分析
生物
作者
Steven A. Gabriel,David Bernstein
摘要
In this paper the authors present a version of the (static) traffic equilibrium problem in which the cost incurred on a path is not simply the sum of the costs on the arcs that constitute that path. The authors motivate this nonadditive version of the problem by describing several situations in which the classical additivity assumption fails. They also present an algorithm for solving nonadditive problems that is based on the recent NE/SQP algorithm, a fast and robust method for the nonlinear complementarity problem. Finally, they present a small example that illustrates both the importance of using nonadditive costs and the effectiveness of the NE/SQP method.
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