Approximation of Pareto optima in multiple-objective, shortest-path problems
Operations Research
Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
Routing with nonlinear multiattribute cost functions
Applied Mathematics and Computation - Special issue on multicriterion decision making with engineering applications
A self-adaptive gradient projection algorithm for the nonadditive traffic equilibrium problem
Computers and Operations Research
ISAAC'06 Proceedings of the 17th international conference on Algorithms and Computation
Resource constrained shortest paths with a super additive objective function
CP'12 Proceedings of the 18th international conference on Principles and Practice of Constraint Programming
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A variety of different multi-agent (competitive) networkmodels have been described in the literature. Computationaltechniques for solving such models often involve the iterativesolution of “shortest” path subproblems. Unfortunately, the mosttheoretically interesting models involve nonlinear cost or utilityfunctions and they give rise to nonadditive “shortest” pathsubproblems. This paper both describes some basic existence anduniqueness results for these subproblems and develops a heuristic forsolving them.