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Global Optimality Conditions in Nonconvex Optimization
Journal of Optimization Theory and Applications, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Global Optimality Conditions for Nonconvex Optimization
Journal of Global Optimization, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Optimal foraging algorithm for global optimization
Applied Soft Computing, 2017Abstract An optimization algorithm, inspired by the animal Behavioral Ecology Theory—Optimal Foraging Theory, named the Optimal Foraging Algorithm (OFA) has been developed. As a new stochastic search algorithm, OFA is used to solve the global optimization problems following the animal foraging behavior.
Guang-Yu Zhu 0005, Wei-Bo Zhang
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Gravitational swarm optimizer for global optimization
Swarm and Evolutionary Computation, 2016Abstract In this paper, a new meta-heuristic method is proposed by combining Particle Swarm Optimization (PSO) and gravitational search in a coherent way. The advantage of swarm intelligence and the idea of a force of attraction between two particles are employed collectively to propose an improved meta-heuristic method for constrained optimization ...
Anupam Yadav +3 more
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Decomposition in global optimization
Journal of Global Optimization, 1991The paper deals with a framework of decomposition schemes, using general mathematical programming duality. This provides for a global optimization approach. In most applications, the qualitative modeling of decision making in a hierarchical structure is done using linear programming.
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Optimality conditions in global optimization and their applications
Mathematical Programming, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alex M. Rubinov, Zhi-You Wu
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Interactive Diffusions for Global Optimization
Journal of Optimization Theory and Applications, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yue Sun, Alfredo García 0001
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2013
This volume contains a thorough overview of the rapidly growing field of global optimization, with chapters on key topics such as • complexity, • heuristic methods, • derivation of lower bounds for minimization problems, and • branch-and-bound methods and convergence.
Marco Locatelli, SCHOEN, FABIO
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This volume contains a thorough overview of the rapidly growing field of global optimization, with chapters on key topics such as • complexity, • heuristic methods, • derivation of lower bounds for minimization problems, and • branch-and-bound methods and convergence.
Marco Locatelli, SCHOEN, FABIO
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Globally optimal direction fields
ACM Transactions on Graphics, 2013We present a method for constructing smooth n -direction fields (line fields, cross fields, etc .) on surfaces that is an order of magnitude faster than state-of-the-art methods, while still producing fields of equal or better quality. Fields produced by the method are globally optimal in the
Knöppel, Felix +3 more
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Optimality conditions for global optimization (I)
Acta Mathematicae Applicatae Sinica, 1985With the help of the theory of measure and integration several global optimality conditions, which are sufficient and necessary, are given for minimizing a continuous function over a topological space.
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