Convex envelope results and strong formulations for a class of mixed-integer programs

被引:0
|
作者
Denizel, M
Erenguc, SS
Sherali, HD
机构
[1] UNIV FLORIDA,DEPT INFORMAT & DECIS SCI,COLL BUSINESS ADM,GAINESVILLE,FL 32611
[2] VIRGINIA POLYTECH INST & STATE UNIV,DEPT IND & SYST ENGN,BLACKSBURG,VA 24061
关键词
D O I
暂无
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
In this article we present a novel technique for deriving the convex envelope of certain nonconvex fixed-charge functions of the type that arise in several related applications that have been considered in the literature. One common attribute of these problems is that they involve choosing levels for the undertaking of several activities. Two or more activities share a common resource, and a fixed charge is incurred when any of these activities is undertaken at a positive level. We consider nonconvex programming formulations for these problems in which the fixed charges are expressed in the form of concave functions. With the use of the developed convex envelope results, we show that the convex envelope relaxations of the nonconvex formulations lead to the linear programming relaxations of the strong IP/MIP formulations of these problems. Moreover, our technique for deriving convex envelopes offers a useful construct that could be exploited in other related contexts as well. (C) 1996 John Wiley & Sons, Inc.
引用
收藏
页码:503 / 518
页数:16
相关论文
共 50 条
  • [31] Duality for mixed-integer convex minimization
    Baes, Michel
    Oertel, Timm
    Weismantel, Robert
    MATHEMATICAL PROGRAMMING, 2016, 158 (1-2) : 547 - 564
  • [32] Algorithmic Approach for Improved Mixed-Integer Reformulations of Convex Generalized Disjunctive Programs
    Trespalacios, Francisco
    Grossmann, Ignacio E.
    INFORMS JOURNAL ON COMPUTING, 2015, 27 (01) : 59 - 74
  • [33] Distributed Optimization for Convex Mixed-Integer Programs based on Projected Subgradient Algorithm
    Sun, Chuangchuang
    Dai, Ran
    2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2018, : 2581 - 2586
  • [34] Branch-and-price for a class of nonconvex mixed-integer nonlinear programs
    Allman, Andrew
    Zhang, Qi
    JOURNAL OF GLOBAL OPTIMIZATION, 2021, 81 (04) : 861 - 880
  • [35] Branch-and-price for a class of nonconvex mixed-integer nonlinear programs
    Andrew Allman
    Qi Zhang
    Journal of Global Optimization, 2021, 81 : 861 - 880
  • [36] AN EXACT ALGORITHMIC FRAMEWORK FOR A CLASS OF MIXED-INTEGER PROGRAMS WITH EQUILIBRIUM CONSTRAINTS
    Dan, Teodora
    Lodi, Andrea
    Marcotte, Patrice
    SIAM JOURNAL ON OPTIMIZATION, 2021, 31 (01) : 275 - 306
  • [37] AN OUTER-APPROXIMATION ALGORITHM FOR A CLASS OF MIXED-INTEGER NONLINEAR PROGRAMS
    DURAN, MA
    GROSSMANN, IE
    MATHEMATICAL PROGRAMMING, 1986, 36 (03) : 307 - 339
  • [38] Structure Detection in Mixed-Integer Programs
    Khaniyev, Taghi
    Elhedhli, Samir
    Erenay, Fatih Safa
    INFORMS JOURNAL ON COMPUTING, 2018, 30 (03) : 570 - 587
  • [39] Learning To Scale Mixed-Integer Programs
    Berthold, Timo
    Hendel, Gregor
    THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 3661 - 3668
  • [40] Analyzing infeasible mixed-integer and integer linear programs
    Guieu, O
    Chinneck, JW
    INFORMS JOURNAL ON COMPUTING, 1999, 11 (01) : 63 - 77