Results 41 to 50 of about 159,874 (284)

An optimization framework for solving capacitated multi-level lot-sizing problems with backlogging [PDF]

open access: yes, 2011
This paper proposes two new mixed integer programming models for capacitated multi-level lot-sizing problems with backlogging, whose linear programming relaxations provide good lower bounds on the optimal solution value. We show that both of these strong
Akartunali, Kerem   +3 more
core   +1 more source

Chameleonic Color‐Variable Microbead Emitters for Multilevel Spectroscopic Encryption from Visible to Infrared Wavelengths

open access: yesAdvanced Optical Materials, EarlyView.
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]

open access: yesComputer Science Journal of Moldova, 2000
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  

Techno-economic performance analysis in a nanogrid with Hybrid Renewable Energy Sources using classical optimization technique

open access: yesEnergy Reports, 2021
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

Tools for reformulating logical forms into zero-one mixed integer programs (MIPS) [PDF]

open access: yes, 1992
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

open access: yesAdvanced Optical Materials, EarlyView.
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

open access: yesInformatika, 2016
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

open access: yesOperations Research Perspectives, 2017
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

Mixed integer polynomial programming

open access: yesComputers & Chemical Engineering, 2015
AbstractThe mixed integer polynomial programming problem is reformulated as a multi-parametric programming problem by relaxing integer variables as continuous variables and then treating them as parameters. The optimality conditions for the resulting parametric programming problem are given by a set of simultaneous parametric polynomial equations which
openaire   +2 more sources

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

open access: yesAdvanced Robotics Research, EarlyView.
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

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