Titlebook: System Modeling and Optimization; Proceedings of the 2 F. Ceragioli,A. Dontchev,L. Pandolfi Conference proceedings 2006 IFIP International

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On Warm Starts for Interior Methods,sensitive to the choice of initial point. This feature has the drawback that it is difficult to design interior methods that efficiently utilize information from an optimal solution to a “nearby” problem. We discuss this feature in the context of general nonlinear programming and specialize to linea

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Recent Advances in Bound Constrained Optimization,on step, an unconstrained optimization step, and a set of rules for switching between the two steps. Numerical experiments and comparisons are presented using box constrained problems in the CUTEr and MINPACK test problem libraries.

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Preconditioned Conjugate Gradient Algorithms for Nonconvex Problems with Box Constraints,he algorithm employs a scaling matrix which transforms the space of original variables into the space in which Hessian matrices of functionals describing the problems have more clustered eigenvalues. This is done efficiently by applying limited memory BFGS updating matrices. Once the scaling matrix

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Multiobjective Optimization for Risk-Based Maintenance and Life-Cycle Cost of Civil Infrastructure l development of any country. The bridge infrastructure has been undergoing severe safety and condition deterioration due to gradual aging, aggressive environmental stressors, and increasing traffic loads. Maintenance needs for deteriorating highway bridges, however, have far outpaced available scar

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Application of Multi-Objective Genetic Algorithm to Bridge Maintenance, bridges. In this paper, an attempt is made to develop a new multi-objective genetic algorithm for the bridge management system that can provide practical maintenance plans. Several numerical examples are presented to demonstrate the applicability and efficiency of the proposed method.

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A Method for the Mixed Discrete Non-Linear Problems by Particle Swarm Optimization, design variables is employed, in which the discrete design variables are treated as the continuous design variables by penalizing at the intervals. By using the penalty function, it is possible to handle all design variables as the continuous design variables. Through typical benchmark problem, the

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Optimization of Cooling Pipe System of Plastic Molding,. If plastic materials in the injection molding die are cooled down uniformly and slowly, generation of the residual stresses can be reduced..In this paper, a new method to design a cooling pipe system in the plastic injection molding die taking account of coolant flow in the pipe are presented. To

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