A polynomial-time algorithm for optimizing over N-fold 4-block decomposable integer programs
In this paper we generalize N-fold integer programs and two-stage integer programs with N scenarios to N-fold 4-block decomposable integer programs. We show that for fixed blocks but variable N, these integer programs are polynomial-time solvable for any
A. Schrijver +16 more
core +1 more source
Shape – A Stochastic Hybrid Approximation Procedure for Two-Stage Stochastic Programs [PDF]
We consider the problem of approximating the expected recourse function for two-stage stochastic programs. Our problem is motivated by applications that have special structure, such as an underlying network that allows reasonable approximations to the expected recourse function to be developed.
Cheung, Raymond K.-M., Powell, Warren B.
openaire +2 more sources
Oscillating Cosmological Solutions in the Modified Theory of Induced Gravity
This work is the extension of author’s research, where the modified theory of induced gravity (MTIG) is proposed. In the framework of the MTIG, the mechanism of phase transitions and the description of multiphase behavior of the cosmological scenario are
Farkhat Zaripov
doaj +1 more source
Theory and Applications of Robust Optimization [PDF]
In this paper we survey the primary research, both theoretical and applied, in the area of Robust Optimization (RO). Our focus is on the computational attractiveness of RO approaches, as well as the modeling power and broad applicability of the ...
Banerjee O. +10 more
core +2 more sources
Approximation in two-stage stochastic integer programming [PDF]
Approximation algorithms are the prevalent solution methods in the field of stochastic programming. Problems in this field are very hard to solve. Indeed, most of the research in this field has concentrated on designing solution methods that approximate the optimal solution value.
Romeijnders, Ward +2 more
openaire +2 more sources
Demand-Side Management of Smart Distribution Grids Incorporating Renewable Energy Sources
The integration of renewable energy resources (RES) (such as wind and photovoltaic (PV)) on large or small scales, in addition to small generation units, and individual producers, has led to a large variation in energy production, adding uncertainty to ...
Gerardo J. Osório +4 more
doaj +1 more source
Decomposition Algorithms for Stochastic Programming on a Computational Grid [PDF]
We describe algorithms for two-stage stochastic linear programming with recourse and their implementation on a grid computing platform. In particular, we examine serial and asynchronous versions of the L-shaped method and a trust-region method.
Linderoth, Jeff, Wright, Stephen
core +4 more sources
Multi-Objective Market Clearing Model with an Autonomous Demand Response Scheme
Demand response (DR) is known as a key solution in modern power systems and electricity markets for mitigating wind power uncertainties. However, effective incorporation of DR into power system operation scheduling needs knowledge of the price– ...
Neda Hajibandeh +5 more
doaj +1 more source
Anchorage‐independent and faster growth in clonal population from UV‐irradiated NER‐deficient cells
UV‐irradiated cells expressing a DDB2 mutant protein unable to interact with PCNA (DDB2PCNA‐) form clones able to grow without anchorage. Different experimental approaches reveal heterogeneity in cell cycle regulation and drug response within these clones, emphasizing the crucial role of the DDB2‐PCNA interaction in preventing cellular transformation ...
Paola Perucca +6 more
wiley +1 more source
A Two-Stage Stochastic Optimization Model for Cruise Ship Food Provisioning with Substitution
The global cruise industry has demonstrated remarkable growth, with modern ships functioning as large-scale floating resorts. Effective food provisioning is a critical operational function that directly impacts both cost efficiency and passenger ...
Weilin Sun, Ying Yang, Shuaian Wang
doaj +1 more source

