Results 61 to 70 of about 399,469 (371)
Learning to Branch in Mixed Integer Programming
The design of strategies for branching in Mixed Integer Programming (MIP) is guided by cycles of parameter tuning and offline experimentation on an extremely heterogeneous testbed, using the average performance.
Elias Boutros Khalil +4 more
semanticscholar +1 more source
Whispering‐gallery‐mode microresonators with sharp resonant peaks enable photonic barcoding. Similar to a chameleon, a rare‐earth‐free microcavity with π‐conjugated PAHs enables visibleto‐near infrared color generation from a single microbead. The unique resonat emission (spectral barcode) can be dynamically transformed via excitation wavelength change,
Barun Kumar Barman +6 more
wiley +1 more source
Integer programming models for colorings of mixed hypergraphs [PDF]
A mixed hypergraph H=(X,C,D) consists of the vertex set X and two families of subsets: the family C of C-edges and the family D of D-edges. In a coloring, every C-edge has at least two vertices of common color, while every D-edge has at least two ...
Dumitru Lozovanu, Vitaly Voloshin
doaj
Tools for reformulating logical forms into zero-one mixed integer programs (MIPS) [PDF]
A systematic procedure for transforming a set of logical statements or logical conditions imposed on a model into an Integer Linear Programming (ILP) formulation or a Mixed Integer Programming (MIP) formulation is presented.
Lucas, CA, Mitra, G, Moody, S
core
Phototunable Polarization Volume Gratings Driven by Chiral Hydrazone Switches
Chiral hydrazone photoswitches incorporated into polarization volume gratings enable light‐driven, reversible modulation of optical properties. UV and blue light irradiation reversibly alter the hydrazone isomer ratio, leading to tunable diffraction efficiency and spectral response across the visible spectrum.
Artem Boichuk +4 more
wiley +1 more source
MIPCL LIBRARY FOR SOLVING MIXED INTEGER PROGRAMMING PROBLEMS
The Mixed Integer Programming Class Library (MIPCL) is a free software designed for implementing mixed integer programming models quickly, easily, and efficiently. Computational experiments show that currently MIPCL is one of the best noncommercial mixed-
N. N. Pisaruk
doaj
Efficient mixed integer programming models for family scheduling problems
This paper proposes several mixed integer programming models which incorporate optimal sequence properties into the models, to solve single machine family scheduling problems.
Meng-Ye Lin, Yarlin Kuo
doaj +1 more source
Optimization algorithms are tools used in the planning and operations of renewable energy-based distributed power systems. Mixed integer linear programming as a classical optimization method is considered in the literature for sizing nanogrid systems due
Gourab Das, M. De, K.K. Mandal
doaj +1 more source
Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang +5 more
wiley +1 more source
Unbounded convex sets for non-convex mixed-integer quadratic programming [PDF]
This paper introduces a fundamental family of unbounded convex sets that arises in the context of non-convex mixed-integer quadratic programming.
Burer, Samuel, Letchford, Adam
core

