A non-archimedean interior point method and its application to the lexicographic multi-objective quadratic programming
L Fiaschi, M Cococcioni - Mathematics, 2022 - mdpi.com
This work presents a generalized implementation of the infeasible primal-dual interior point
method (IPM) achieved by the use of non-Archimedean values, ie, infinite and infinitesimal …
method (IPM) achieved by the use of non-Archimedean values, ie, infinite and infinitesimal …
On efficiency and the Jain's fairness index in integer assignment problems
N Rezaeinia, JC Góez, M Guajardo - Computational Management Science, 2023 - Springer
Given two sets of objects, the integer assignment problem consists of assigning objects of
one set to objects in the other set. Traditionally, the goal of this problem is to find an …
one set to objects in the other set. Traditionally, the goal of this problem is to find an …
Generalized Optimization Modulo Theories
Abstract Optimization Modulo Theories (OMT) has emerged as an important extension of the
highly successful Satisfiability Modulo Theories (SMT) paradigm. The OMT problem requires …
highly successful Satisfiability Modulo Theories (SMT) paradigm. The OMT problem requires …
Efficient Lexicographic Optimization for Prioritized Robot Control and Planning
K Pfeiffer, A Kheddar - arXiv preprint arXiv:2403.09160, 2024 - arxiv.org
In this work, we present several tools for efficient sequential hierarchical least-squares
programming (S-HLSP) for lexicographical optimization tailored to robot control and …
programming (S-HLSP) for lexicographical optimization tailored to robot control and …
Cost and response time optimization of edge architectures
J Entrialgo, R Moreno-Vozmediano, JL Díaz - Cluster Computing, 2024 - Springer
The cloud service provider market has recently expanded its offerings by providing edge as
a service. This involves offering resources equivalent to those already available in the cloud …
a service. This involves offering resources equivalent to those already available in the cloud …
Lexicographic Mixed-Integer Motion Planning with STL Constraints
Autonomous vehicles are subject to various constraints, such as following the rules of the
road (ROTR), adhering to schedules, or providing a comfortable driving experience …
road (ROTR), adhering to schedules, or providing a comfortable driving experience …
Optimization of Rulebooks via Asymptotically Representing Lexicographic Hierarchies for Autonomous Vehicles
M Penlington, A Zanardi, E Frazzoli - arXiv preprint arXiv:2409.11199, 2024 - arxiv.org
A key challenge in autonomous driving is that Autonomous Vehicles (AVs) must contend
with multiple, often conflicting, planning requirements. These requirements naturally form in …
with multiple, often conflicting, planning requirements. These requirements naturally form in …
Multi-objective Lexicographic Mixed-Integer Linear Programming: An Infinity Computer Approach
In this chapter we show how a lexicographic multi-objective linear programming problem
(LMOLP) can be transformed into an equivalent, single-objective one, by using the …
(LMOLP) can be transformed into an equivalent, single-objective one, by using the …
[PDF][PDF] Optimal Synthesis of Multi-Output Boolean Functions Using Modern ILP Solvers
A Versari, M Cococcioni - researchgate.net
In this work we address the optimal synthesis of a multi input-multi output boolean functions.
First we show a procedure for generating all the implicants and then the mathematical …
First we show a procedure for generating all the implicants and then the mathematical …