Results 221 to 230 of about 6,868 (254)

Optimal foraging algorithm for global optimization

Applied Soft Computing, 2017
Abstract 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, 2016
Abstract 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, Kusum Deep, Joong Hoon Kim, Atulya K. Nagar   +3 more
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Decomposition in global optimization

Journal of Global Optimization, 1991
The 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, 2007
zbMATH 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, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yue Sun, Alfredo García 0001
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An optimality criterion for global quadratic optimization

Journal of Global Optimization, 1992
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Optimization-Oriented Global Constraints

Constraints, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Focacci F., Lodi A., Milano M.
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Global Optimization

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
  +5 more sources

Global Optimization of Econometric Functions

Journal of Global Optimization, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Max E. Jerrell, Wendy A. Campione
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Global Optimization of Multiplicative Programs

Journal of Global Optimization, 2003
The following two optimization problems are considered: Linear Multiplicative Problem (LMP); Generalized Linear Multiplicative Problem (GLMP). The LMP consists in finding the global minimum of the objective function, which is equal to the product of a finite number of linear functions, under linear constraints; it is assumed that all variables are ...
Hong-Seo Ryoo, Nikolaos V. Sahinidis
openaire   +1 more source