Results 1 to 10 of about 3,300 (231)
Lossy compression of matrices by black box optimisation of mixed integer nonlinear programming [PDF]
Scientific Reports, 2022 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
An algorithmic framework for convex mixed integer nonlinear programs
Discrete Optimization, 2008 This paper is motivated by the fact that mixed integer nonlinear programming is an important and difficult area for which there is a need for developing new methods and software for solving large-scale problems. Moreover, both fundamental building blocks, namely mixed integer linear programming and nonlinear programming, have seen considerable and ...
Pierre Bonami +2 more
exaly +5 more sources
IEEE Access, 2022 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
Port Call Optimization at a Ferry Terminal with Stochastic Servicing Time and Additional Visits
Journal of Marine Science and Engineering, 2023 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
doaj +1 more source
A Feasibility Pump for mixed integer nonlinear programs [PDF]
Mathematical Programming, 2008 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
Mathematics, 2021 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
On generalized surrogate duality in mixed-integer nonlinear programming [PDF]
Mathematical Programming, 2020 AbstractThe most important ingredient for solving mixed-integer nonlinear programs (MINLPs) to global $$\epsilon $$ ϵ -optimality with spatial branch and bound is a tight, computationally tractable relaxation. Due to both theoretical and practical considerations, relaxations of MINLPs are usually required to be convex.
Benjamin Müller 0002 +5 more
openaire +5 more sources
Mathematics, 2022 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
doaj +1 more source
Optimal operation method for load restoration of distribution networks under disturbance scenario
Energy Reports, 2022 Extreme events can cause damages to transmission system equipment, resulting in a major power outage. In disturbance scenario, local distributed energy resources (DERs) and switches can be fully utilized to restore power loads, which is critical for ...
Tao Zhang +5 more
doaj +1 more source
Optimal Network Topology for Node-Breaker Representations With AC Power Flow Constraints
IEEE Access, 2020 It has been demonstrated that network topology optimization (NTO) may change the topology of power system networks, and consequently, provide additional flexibility to reduce network congestion and violations.
Byungkwon Park, Christopher L. Demarco
doaj +1 more source