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2010 Third International Joint Conference on Computational Science and Optimization

28-31 May 2010

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  • [Front cover - Vol 2]

    Publication Year: 2010, Page(s): C1
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  • [Title page i - Volume 2]

    Publication Year: 2010, Page(s): i
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  • [Title page iii - Volume 2]

    Publication Year: 2010, Page(s): iii
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  • [Copyright notice - Volume 2]

    Publication Year: 2010, Page(s): iv
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  • Table of contents - volume 2

    Publication Year: 2010, Page(s):v - xiv
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  • Message from the General Co-Chairs and Program Co-Chairs - Volume 2

    Publication Year: 2010, Page(s):xv - xvi
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  • CSO 2010 Organizing Committee - Volume 2

    Publication Year: 2010, Page(s): xvii
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  • CSO 2010 Program Committees - Volume 2

    Publication Year: 2010, Page(s):xviii - xx
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  • CSO 2010 External Reviewers - Volume 2

    Publication Year: 2010, Page(s):xxi - xxii
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  • Message from the IWHGA 2010 Workshop Chair - Volume 2

    Publication Year: 2010, Page(s): xxiii
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  • IWHGA 2010 Workshop Committee - Volume 2

    Publication Year: 2010, Page(s): xxiv
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  • Message from the IIP 2010 Workshop Chairs - Volume 2

    Publication Year: 2010, Page(s): xxv
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  • IIP 2010 Organizing Committee - Volume 2

    Publication Year: 2010, Page(s): xxvi
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  • Message from the ICMA 2010 Workshop Chairs - Volume 2

    Publication Year: 2010, Page(s): xxvii
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  • ICMA 2010 Workshop Committee - Volume 2

    Publication Year: 2010, Page(s): xxviii
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  • Message from the CTS 2010 Workshop Chairs - Volume 2

    Publication Year: 2010, Page(s): xxix
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  • CTS 2010 Workshop Committee - Volume 2

    Publication Year: 2010, Page(s): xxx
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  • Keynote Addresses - Volume 2

    Publication Year: 2010, Page(s):xxxi - xxxvi
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (131 KB)

    Provides an abstract for each of the keynote presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings. View full abstract»

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  • A Parametric Method for Solving Continuous-Time Linear Fractional Programming Problems

    Publication Year: 2010, Page(s):3 - 7
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (192 KB) | HTML iconHTML

    A numerical algorithm is proposed in this paper to solve a class of continuous-time linear fractional programming problems (CLFP). We shall transform (CLFP) into a continuous-time nonlinear programming problem. In order to tackle this nonlinear problem, we propose the auxiliary problem that will be formulated as parametric continuous-time linear programming problem. Following our recent works for ... View full abstract»

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  • Duality for Multiobjective Optimization Involving Extended (F, alpha, rho, d)-type I Functions

    Publication Year: 2010, Page(s):8 - 12
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (159 KB) | HTML iconHTML

    In this paper, the extended $(F,alpha,rho,d)$-type I functions are introduced for a differentiable multiobjective programming problem. Under the assumptions of these generalized functions, weak and converse dual theorems are established for Mond-Weir duality in constraint multiobjective optimization problem. The results deepen and enrich the content of optimization theory and applications. View full abstract»

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  • Epsilon-Optimality Conditions for a Class of F epsilon-G Convex Fractional Semi-infinite Programming

    Publication Year: 2010, Page(s):13 - 15
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (280 KB) | HTML iconHTML

    A class of fractional semi-infinite programming is concerned; a new class of generalized convex function called Fε-G Convex function and related nonconvex functions are defined, which generalize some of the present convex functions. In the framework of the new concept, some interesting sufficient conditions of ε-optimality solutions are derived for the programming. These results obta... View full abstract»

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  • Sufficiency and Duality in Nonsmooth Multiobjective Programming with Generalized Dini Convextiy

    Publication Year: 2010, Page(s):16 - 20
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (166 KB) | HTML iconHTML

    A relaxation defining the class of Dini convex functions leads to a new class of generalized Dini convex functions. Several theorems on sufficiency and duality for nonsmooth multiobjective programming are established under the assumption that the objective functions and constraint functions are of these generalized Dini convexity. View full abstract»

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  • The Complexity Analysis of an Efficient Interior-Point Algorithm for Linear Optimization

    Publication Year: 2010, Page(s):21 - 24
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (170 KB) | HTML iconHTML

    In this paper, an efficient primal-dual interior point algorithm for large-update methods is introduced by means of a new kernel function. We analysis the complexity of the algorithm and conclude that its iteration bounds, O(n34 log n?? ), is so far the best complexity result for large update primal-dual interior-point methods. View full abstract»

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  • Self-Dual Embedding for SDP Using ELSD and its Lagrangian Dual

    Publication Year: 2010, Page(s):25 - 29
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (187 KB) | HTML iconHTML

    This paper is devoted to the study of an embedding method for semi definite programming problems using Extended Lagrange-Slater dual (ELSD) and its Lagrangian dual. A theorem proved by de Clerk et al. in 1996 is revisited. A new proof is provided utilizing a result regarding the weak feasibility of a conic linear programming problem. View full abstract»

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  • A Global Optimization Method for the Nonlinear Sum of Ratios Problem

    Publication Year: 2010, Page(s):30 - 33
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (197 KB) | HTML iconHTML

    This article presents global optimization algorithm for globally solving the nonlinear sum of ratios problem (NRS) on nonconvex feasible region. Two folds are presented. Firstly, a problem (P1) is derived which is equivalent to problem (NRS). Second, by utilizing the parametric linearization relaxation method, initial non-convex nonlinear problem (NRS) is reduce to a sequence of linear programming... View full abstract»

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