Loading...

Table of Content

    30 September 2014, Volume 2 Issue 3
    Discrete Optimization
    Simultaneous Approximation of Multi-criteria Submodular Function Maximization
    Dong-Lei Du · Yu Li · Nai-Hua Xiu · Da-Chuan Xu
    2014, 2(3):  271-290.  doi:10.1007/s40305-014-0053-z
    Asbtract ( 292 )   PDF  
    Related Articles | Metrics

    Recently intensive interest has been raised on approximation of the NPhard
    submodular maximization problem due to their theoretical and practical significance.
    In this work, we extend this line of research by focusing on the simultaneous
    approximation of multiple submodular function maximization. We address
    the existence and nonexistence results for both deterministic and randomized
    approximation when the submodular functions are symmetric and asymmetric,
    respectively, along with algorithmic corollaries. We offer complete characterization
    of the symmetric case and partial results on the asymmetric case.

    Continuous Optimization
    A Nonmonotone Hybrid Method of Conjugate Gradien and Lanczos-type for Solving Nonlinear Systems
    Chun-Xia Jia · Jue-Yu Wang · De-Tong Zhu
    2014, 2(3):  291-306.  doi:10.1007/s40305-014-0051-1
    Asbtract ( 251 )   PDF  
    Related Articles | Metrics

    In this paper, we construct a new algorithm which combines the conjugate
    gradient and Lanczos methods for solving nonlinear systems. The iterative
    direction can be obtained by solving a quadratic model via conjugate gradient and
    Lanczos methods. Using the backtracking line search, we will find an acceptable
    trial step size along this direction which makes the objective function nonmonotonically
    decreasing and makes the norm of the step size monotonically increasing.
    Global convergence and local superlinear convergence rate of the proposed algorithm
    are established under some reasonable conditions. Finally, we present some
    numerical results to illustrate the effectiveness of the proposed algorithm.

    Discrete Optimization
    Extreme Tenacity of Graphs with Given Order and Size
    T. C. E. Cheng · Yin-Kui Li · Chuan-Dong Xu
    2014, 2(3):  307-316.  doi:10.1007/s40305-014-0052-0
    Asbtract ( 247 )   PDF  
    Related Articles | Metrics

    Computer or communication networks are so designed that they do not
    easily get disrupted under external attack and, moreover, these are easily reconstructible
    if they do get disrupted. These desirable properties of networks can be
    measured by various graph parameters, such as connectivity, toughness, scattering
    number, integrity, tenacity, rupture degree and edge-analogues of some of them.
    Among these parameters, the tenacity and rupture degree are two better ones to
    measure the stability of a network. In this paper, we consider two extremal problems
    on the tenacity of graphs: determine the minimum and maximum tenacity of graphs
    with given order and size. We give a complete solution to the first problem, while
    for the second one, it turns out that the problem is much more complicated than that
    of the minimum case. We determine the maximum tenacity of trees with given order and show the corresponding extremal graphs. The paper concludes with a discussion
    of a related problem on the edge vulnerability parameters of graphs.

    Management Science
    DEAHP Approach for Manpower Performance Evaluation
    Sanjeet Singh · Remica Aggarwal
    2014, 2(3):  317-332.  doi:10.1007/s40305-014-0050-2
    Asbtract ( 206 )   PDF  
    Related Articles | Metrics

    The manpower in an organization constitutes an important and essential
    asset. Competent personnel endowed with individual academic and managerial
    strengths in specific disciplines and personal capabilities, who can undertake a
    variety of marketing or research assignments, are needed in any organization as they
    substantially credit to its performance. Development of rational techniques for
    capability assessment during recruitment of personnel is therefore vital. The techniques
    that are normally employed for decision making in identification of performance
    attributes including their weight assignments include techniques like
    Delphi and decision matrix, Analytic Hierarchy Process (AHP) etc. AHP converts
    qualitative opinion of experts into quantified values and generates a decision matrix.
    In this paper, we have integrated Data Envelopment Analysis (DEA) to generate
    local weights of alternatives from pair-wise comparison of judgment matrix used in
    the AHP for a three attribute system for measuring performance of personnel at
    entry level of managerial hierarchy. Multiple expert judgments have been considered
    for weight determination of the attributes. Thus, DEAHP (i.e., combined DEAAHP
    approach) has been proposed in this paper as an alternative to the traditional
    methods of weight derivation in AHP.

    Discrete Optimization
    On Two-machine Flow Shop Scheduling
    Lin Chen · Wen-Chang Luo · Guo-Chuan Zhang
    2014, 2(3):  333-340.  doi:10.1007/s40305-014-0055-x
    Asbtract ( 377 )   PDF  
    Related Articles | Metrics

    In this note, we revisit the classical two-machine flow shop scheduling
    problem. A linear time approximation scheme is presented. For an online version
    with rejection, we propose best possible online algorithms.

    Continuous Optimization
    On Local Convexity of Quadratic Transformations
    Yong Xia
    2014, 2(3):  341-350.  doi:10.1007/s40305-014-0054-y
    Asbtract ( 259 )   PDF  
    Related Articles | Metrics

    In this paper, we improve Polyak’s local convexity result for quadratic
    transformations. Extension and open problems are also presented.

    Stochastic Optimization
    Crossover Iterated Local Search for SDCARP
    An-Yang Liang · Dan Lin
    2014, 2(3):  351-368.  doi:10.1007/s40305-014-0056-9
    Asbtract ( 226 )   PDF  
    Related Articles | Metrics

    This paper introduces a new algorithm based on local search for the
    capacitated arc routing problem (CARP) and the split-delivery capacitated arc routing
    problem (SDCARP). We present a intermediate model to transfer CARP to SDCARP
    and then solve the two problems by an algorithm which combines the iterated local
    search and the memetic algorithm. We use crossovers to perform fully reproducible
    initializations in each local search iteration and edge-marking to save computation
    time. The computational results on 63 instances of standard benchmarks show that the
    proposed algorithm outperforms most of the existing best-known solutions obtained
    by other heuristics within a reasonable computing time. Furthermore, compared with
    the CARP solutions, our algorithm finds three optimums for the SDCARP.

    Discrete Optimization
    A New Proof of the Lattice Structure of Many-to-Many Pairwise-Stable Matchings
    Jian-Rong Li
    2014, 2(3):  369-378.  doi:10.1007/s40305-014-0049-8
    Asbtract ( 244 )   PDF  
    Related Articles | Metrics

    This paper studies, under substitutable and cardinal monotone preferences,
    the lattice structure of the set S(P) of many-to-many pairwise-stable
    matchings. It proves that the selection matchings are increasing functions on S(P).
    This fact, along with a few auxiliary results, is then used to prove that SðPÞ is a
    distributive lattice. The contribution of this paper is not new, but the alternative
    proof is interesting as it avoids the use of abstract lattice theory.

    Continuous Optimization
    A Refined Error Analysis for Fixed-Degree Polynomial Optimization over the Simplex
    Zhao Sun
    2014, 2(3):  379-394.  doi:10.1007/s40305-014-0057-8
    Asbtract ( 234 )   PDF  
    Related Articles | Metrics

    We consider the problem of minimizing a fixed-degree polynomial over
    the standard simplex. This problem is well known to be NP-hard, since it contains
    the maximum stable set problem in combinatorial optimization as a special case. In
    this paper, we revisit a known upper bound obtained by taking the minimum value
    on a regular grid, and a known lower bound based on Po´lya’s representation theorem.
    More precisely, we consider the difference between these two bounds and we
    provide upper bounds for this difference in terms of the range of function values.
    Our results refine the known upper bounds in the quadratic and cubic cases, and they
    asymptotically refine the known upper bound in the general case.