GRAPH THEORYThis article presents an extension of the interactive multicriteria linear-programming method of Zionts and Wallenius [see Management Science, 29(5) (1983)]. The decision maker's underlying utility
Motivated by the success of matheuristics in the single-objective domain, we propose a linear programming-based matheuristic for tri-objective binary integer linear programming. To achieve a high-quality approximation of the optimal set of trade-off solutions, a lower bound set is first obtained ...
In our model, an alternative is a flow, i.e., a given configura- tion of energy flows on the arcs of the graph. Of course, it is important to start with a reasonable number of good alternatives. To this aim, we use linear programming. 5. Strategy for generating alternatives 5.1. ...
Convex Programming Mechanism on Risk • As soon as bid (a, ) arrives, market maker solves where the ith entry of q is the quantity already sold to earlier traders, x is the order fill variable for the new order, and u(s) is any concave and increasing value function of remaining ...
Luenberger DG, Ye Y (2016) Linear and nonlinear programming, 4th edn. Springer, Berlin Book Google Scholar Nip K, Shi T, Wang Z (2022) Some graph optimization problems with weights satisfying linear constraints. J Comb Optim 43:200–225 Article MathSciNet Google Scholar Nip K, Wang Z ...
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Graph Drawing Software, pp. 127–148. Springer (2004) 9. Etessami, K., Wilke, T., Schuller, A.: Fair simulation relations, parity games, and state space reduction for Bu¨chi automata. In: Orejas, F., Spirakis, P.G., van Leeuwen, J. (eds.) Automata, Languages and Programming:...
Two non-linear mathematical programming models equipped with multi-objective functions are formulated and converted into crisp linear programming models by applying the weighted average approach. The reduced problems are solved using the LINGO platform, yielding optimal solutions. An illustrative example ...
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