Results 11 to 20 of about 3,712,155 (267)
Lossy compression of matrices by black box optimisation of mixed integer nonlinear programming [PDF]
In edge computing, suppressing data size is a challenge for machine learning models that perform complex tasks such as autonomous driving, in which computational resources (speed, memory size and power) are limited.
Tadashi Kadowaki, Mitsuru Ambai
doaj +2 more sources
The branch and bound (BB) algorithm is widely used to obtain the global solution of mixed-integer linear programming (MILP) problems. On the other hand, when the traditional BB structure is directly used to solve nonconvex mixed-integer nonlinear ...
Reinaldo T. Zoppei +4 more
doaj +3 more sources
A Mixed-Integer Nonlinear Programming Model for Optimal Reconfiguration of DC Distribution Feeders
This paper deals with the optimal reconfiguration problem of DC distribution networks by proposing a new mixed-integer nonlinear programming (MINLP) formulation.
O. D. Montoya +4 more
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Computer assisted modelling of linear, integer and separable programming problems [PDF]
For mathematical programming (MP) to have greater impact upon the decision making process, MP software systems must offer suitable support in terms of model communication and modelling techniques .
Mitra, G, Darby-Dowman, K, Lucas, CA
core +6 more sources
Non-convex mixed-integer nonlinear programming : a survey [PDF]
A wide range of problems arising in practical applications can be formulated as Mixed-Integer Nonlinear Programs (MINLPs). For the case in which the objective and constraint functions are convex, some quite effective exact and heuristic algorithms are ...
Burer, S +3 more
core +4 more sources
Port Call Optimization at a Ferry Terminal with Stochastic Servicing Time and Additional Visits
Ferry shipping is an indispensable method of public transportation, especially in areas with well-developed river systems or coastal areas. The increasing demand for transport requires additional visits and introduces the problem of ship visit schedule ...
Jingwen Qi +3 more
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A Feasibility Pump for mixed integer nonlinear programs [PDF]
We present an algorithm for finding a feasible solution to a convex mixed integer nonlinear program. This algorithm, called Feasibility Pump, alternates between solving nonlinear programs and mixed integer linear programs. We also discuss how the algorithm can be iterated so as to improve the first solution it finds, as well as its integration within ...
P. Bonami +3 more
openaire +3 more sources
This paper considers the fast and effective solving method for the unit commitment (UC) problem with wind curtailment and pollutant emission in power systems.
Xiali Pang +3 more
doaj +1 more source
Revisiting lagrange relaxation (LR) for processing large-scale mixed integer programming (MIP) problems [PDF]
Lagrangean Relaxation has been successfully applied to process many well known instances of NP-hard Mixed Integer Programming problems. In this paper we present a Lagrangean Relaxation based generic solver for processing Mixed Integer Programming ...
Siamitros, C, Mitra, G, Poojari, CA
core +5 more sources
Techniques and methods of linear optimization underwent a significant improvement in the 20th century which led to the development of reliable mixed integer linear programming (MILP) solvers. It would be useful if these solvers could handle mixed integer
Loay Alkhalifa, Hans Mittelmann
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