In this chapter we show how a lexicographic multi-objective linear pro- gramming problem (LMOLP) can be transformed into an equivalent, single-objective one, by using the Grossone Methodology. Then we provide a simplex-like algorithm, called GrossSimplex, able to solve the original LMOLP problem using a single run of the algorithm (its theoretical correctness is also provided). In the second part, we tackle a Mixed-Integer Lexicographic Multi-Objective Linear Programming prob- lem (LMOMILP) and we solve it in an exact way, by using a Grossone-version of the Branch-and-Bound scheme (called GrossBB). After proving the theoretical correctness of the associated pruning rules and terminating conditions, we show a few experimental results, run on an Infinity Computer simulator.

Multi-Objective Lexicographic Mixed-Integer Linear Programming: an Infinity Computer Approach

Marco Cococcioni
Co-primo
;
Alessandro Cudazzo
Co-primo
;
Massimo Pappalardo
Co-primo
;
2022-01-01

Abstract

In this chapter we show how a lexicographic multi-objective linear pro- gramming problem (LMOLP) can be transformed into an equivalent, single-objective one, by using the Grossone Methodology. Then we provide a simplex-like algorithm, called GrossSimplex, able to solve the original LMOLP problem using a single run of the algorithm (its theoretical correctness is also provided). In the second part, we tackle a Mixed-Integer Lexicographic Multi-Objective Linear Programming prob- lem (LMOMILP) and we solve it in an exact way, by using a Grossone-version of the Branch-and-Bound scheme (called GrossBB). After proving the theoretical correctness of the associated pruning rules and terminating conditions, we show a few experimental results, run on an Infinity Computer simulator.
2022
Cococcioni, Marco; Cudazzo, Alessandro; Pappalardo, Massimo; Sergeyev, Yaroslav D.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1139106
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