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- Efficient Global Optimization (EGO) algorithm solves costly box-bounded global optimization problems with additional linear...
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- solving nonconvex optimization problems to global optimality. Purely continuous, purely integer, and mixed-integer nonlinear ... valleys of complex optimization problems in search of global solutions...
Global Optimization Toolbox For Maple
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- Optimization is the science of finding solutions that satisfy complicated constraints and objectives. In engineering ... time, and staff. The objective of global optimization is to find [numerically] the absolute best ... number of locally optimal solutions. Global optimization problems can be extremely difficult. Frequently engineers ... been found. Using the Global Optimization Toolbox, you can formulate your optimization model easily inside...
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- unconstrained optimization, written in C. The Genocop system aims at finding a global optimum (minimum...
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- algorithm From authors’ summary: A new global optimization algorithm for functions of continuous variables...
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- integrals in higher dimensions, and in global optimization. This is because low discrepancy sequences tend...
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- symmetric eigenvalue problems, based on a local optimization of a three-term recurrence, and suggest ... those by the much more expensive global optimization method on the same generalized block Krylov...
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- parameter identification problem and a discretized optimal control problem, both of which are used ... globalize convergence, i.e., remove the restriction that the starting point of the optimization iteration...
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- hybrid solver for linearly constrained global derivative-free optimization ... PSwarm was developed originally for the global optimization of functions without derivatives and where ... algorithm is highly competitive with other global optimization methods based only on function values. PSwarm ... other solvers (including some designed for global optimization) and the results confirm its competitiveness...
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- alphaBB: A Global Optimization Method for General Constrained Nonconvex Problems. A branch and bound global ... optimization method, ffBB, for general continuous optimization problems involving nonconvexities in the objective function and/or ... algorithm attains finite ffl--convergence to the global minimum through the successive subdivision ... nonlinear convex minimization problems. The global optimization method, ffBB, is implemented in C and tested...
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- package for the global numerical analysis of dynamical systems and optimization problems based ... dynamical systems and to compute the globally optimal solutions of both scalar and multiobjective problems...
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- associated monotone sequence of optimal values converges to the global optimum...
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- Global Optimization by Multilevel Coordinate Search. MCS is a Matlab program for bound constrained global ... optimization using function values only, based on a multilevel coordinate search that balances global...
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- Numerica: A modeling language for global optimization. Many science and engineering applications require the user ... nonlinear constraints. The field of global optimization is the study of methods to find ... nonlinear constraints and all global optima to optimization ... problems. Numerica is modeling language for global optimization that makes it possible to state nonlinear...
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- program system LGO serves to solve global optimization problems under very mild -- continuity or Lipschitz...
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- ANTIGONE: algorithms for coNTinuous/Integer global optimization of nonlinear equations. This manuscript introduces ANTIGONE, Algorithms ... coNTinuous/Integer Global Optimization of Nonlinear Equations, a general mixed-integer nonlinear global optimization framework. ANTIGONE ... evolution of the Global Mixed-Integer Quadratic Optimizer, GloMIQO, to general nonconvex terms. The purpose ... other state-of-the-art global optimization solvers...
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- Realpaver: nonlinear constraint solving & rigorous global optimization. Problems: Realpaver allows modeling and solving nonlinear ... nonconvex constraint satisfaction and optimization problems over the real numbers. The decision variables, continuous ... able to enclose the global optimum of an optimization problem with certainty. Solving methods: Realpaver...