Frontiers in Global OptimizationChristodoulos A. Floudas, Panos M. Pardalos Springer Science & Business Media, 2004 - 597 lappuses Global Optimization has emerged as one of the most exciting new areas of mathematical programming. Global optimization has received a wide attraction from many fields in the past few years, due to the success of new algorithms for addressing previously intractable problems from diverse areas such as computational chemistry and biology, biomedicine, structural optimization, computer sciences, operations research, economics, and engineering design and control. This book contains refereed invited papers submitted at the 4th international confer ence on Frontiers in Global Optimization held at Santorini, Greece during June 8-12, 2003. Santorini is one of the few sites of Greece, with wild beauty created by the explosion of a volcano which is in the middle of the gulf of the island. The mystic landscape with its numerous mult-extrema, was an inspiring location particularly for researchers working on global optimization. The three previous conferences on "Recent Advances in Global Opti mization", "State-of-the-Art in Global Optimization", and "Optimization in Computational Chemistry and Molecular Biology: Local and Global approaches" took place at Princeton University in 1991, 1995, and 1999, respectively. The papers in this volume focus on de terministic methods for global optimization, stochastic methods for global optimization, distributed computing methods in global optimization, and applications of global optimiza tion in several branches of applied science and engineering, computer science, computational chemistry, structural biology, and bio-informatics. |
Saturs
Exact solution of three nonconvex quadratic programming problems | 25 |
vi | 27 |
Global Optimization of Bioprocesses using Stochastic and Hybrid Methods | 45 |
Computational Experiments with an Adaptive Genetic Algorithm for Global Min | 71 |
Global Optimization of Homogeneous Polynomials on the Simplex and on | 109 |
Exact parallel algorithms for the location depth and the maximum feasible subsys | 123 |
Implementation and Testing of a BranchandBound Based Method for Determin | 145 |
MINLP Optimization Using Simplicial Approximation Method for Classes of Non | 165 |
Global Dynamic Optimization of Linear Hybrid Systems | 289 |
Advanced Multidimensional Interval analysis Global Optimization | 313 |
Facets of the Convex | 327 |
Analysis of Nonconvex Polynomial Programs by the Method of Moments | 353 |
The Steiner Ratio and the Homochirality of Biomacromolecular Structures | 373 |
A Multi Dimensional Assignment Formulation For New Product Development Prob | 391 |
Quasiconvexity Fractional Programming and Extremal Traffic Congestion | 403 |
Optimal Solution of Integer Multicommodity Flow Problems With Application | 411 |
A General Framework for Constructing Cooperative Global Optimization Algo | 197 |
Adaptive Gradient Flows | 223 |
Global ReliabilityBased Design Optimization | 255 |
Reducing the Cost of Evaluation of the Gradient and Hessian of Molecular Potential | 275 |
A Technique to Improve Search Efficiency in Global Opti | 437 |
Global Optimization of Bilevel Programming Problems via Parametric Program | 457 |
Global Solution of Optimization Problems with Dynamic Systems Embedded | 477 |
Citi izdevumi - Skatīt visu
Frontiers in Global Optimization Christodoulos A. Floudas,Panos M. Pardalos Ierobežota priekšskatīšana - 2013 |
Frontiers in Global Optimization Christodoulos A. Floudas,Panos M. Pardalos Priekšskatījums nav pieejams - 2011 |
Frontiers in Global Optimization Christodoulos A. Floudas,Panos M. Pardalos Priekšskatījums nav pieejams - 2014 |
Bieži izmantoti vārdi un frāzes
Adjiman adjoint affine applied bound functions branch and bound C. A. Floudas CCC Algorithm Chem computational concave considered convergence convex envelope convex relaxation convex underestimator cooperative optimization cost defined denoted derivatives deterministic global differential equations domain dynamic optimization energy function evaluations example feasible region finite formulation function f function values genetic algorithm given global minimum Global Optimization global solution gradient hybrid hyperplane inequality integer interval iteration Kluwer Academic Publishers linear programming location depth lower bound functions mathematical matrix methods MILP minimize MINLP nodes non-convex constraint nonconvex nonlinear objective function obtained optimal control optimal solution optimisation optimization problem optimum parameter estimation Pmin polynomial programming problem quadratic quadratic programming reactor semidefinite programming simulated annealing solved solver space Steiner Ratio step stochastic strategy structure sub-problems techniques Theorem upper bound vector vertex wavelength