Search Results - Numerical methods in optimization and calculus of variations

Gbest-guided artificial bee colony algorithm for numerical function optimization by Zhu, Guopu, Kwong, Sam

“…Artificial bee colony (ABC) algorithm invented recently by Karaboga is a biological-inspired optimization algorithm, which has been shown to be competitive…”
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Theory and Applications of Robust Optimization by Bertsimas, Dimitris, Brown, David B., Caramanis, Constantine

“…In this paper we survey the primary research, both theoretical and applied, in the area of robust optimization (RO…”
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BOUNDS ON ELASTICITIES WITH OPTIMIZATION FRICTIONS: A SYNTHESIS OF MICRO AND MACRO EVIDENCE ON LABOR SUPPLY by Chetty, Raj

“…How can price elasticities be identified when agents face optimization frictions such as adjustment costs or inattention…”
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SparseNet: Coordinate Descent With Nonconvex Penalties by Mazumder, Rahul, Friedman, Jerome H., Hastie, Trevor

“… In this article we pursue a coordinate-descent approach for optimization, and study its convergence properties…”
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Iteratively reweighted least squares minimization for sparse recovery by Daubechies, Ingrid, DeVore, Ronald, Fornasier, Massimo, Güntürk, C. Si̇nan

“… We study an alternative method of determining x, as the limit of an iteratively reweighted least squares (IRLS) algorithm…”
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Bat algorithm for constrained optimization tasks by Gandomi, Amir Hossein, Yang, Xin-She, Alavi, Amir Hossein, Talatahari, Siamak

“…In this study, we use a new metaheuristic optimization algorithm, called bat algorithm (BA…”
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Particle swarm optimization: Hybridization perspectives and experimental illustrations by Thangaraj, Radha, Pant, Millie, Abraham, Ajith, Bouvry, Pascal

“…Metaheuristic optimization algorithms have become popular choice for solving complex and intricate problems which are otherwise difficult to solve by traditional methods…”
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A self-adaptive global best harmony search algorithm for continuous optimization problems by Pan, Quan-Ke, Suganthan, P.N., Tasgetiren, M. Fatih, Liang, J.J.

“…This paper presents a self-adaptive global best harmony search (SGHS) algorithm for solving continuous optimization problems…”
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Improved artificial bee colony algorithm for global optimization by Gao, Weifeng, Liu, Sanyang

“…The artificial bee colony algorithm is a relatively new optimization technique. This paper presents an improved artificial bee colony (IABC…”
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Integrating particle swarm optimization with genetic algorithms for solving nonlinear optimization problems by Abd-El-Wahed, W.F., Mousa, A.A., El-Shorbagy, M.A.

“…Heuristic optimization provides a robust and efficient approach for solving complex real-world problems…”
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Modified particle swarm optimization algorithm with simulated annealing behavior and its numerical verification by Shieh, Horng-Lin, Kuo, Cheng-Chien, Chiang, Chin-Ming

“…The hybrid algorithm that combined particle swarm optimization with simulated annealing behavior (SA-PSO…”
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A real-coded biogeography-based optimization with mutation by Gong, Wenyin, Cai, Zhihua, Ling, Charles X., Li, Hui

“…Biogeography-based optimization (BBO) is a new biogeography inspired algorithm for global optimization…”
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Parameter-setting-free harmony search algorithm by Geem, Zong Woo, Sim, Kwee-Bo

“…Various phenomenon-mimicking algorithms, such as genetic algorithm, simulated annealing, tabu search, ant colony optimization, and particle swarm optimization, have their own algorithm parameters…”
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A study on the convergence of variational iteration method by Odibat, Zaid M.

“…Variational iteration method has been widely used to handle linear and nonlinear models…”
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Convergence properties of the expected improvement algorithm with fixed mean and covariance functions by Vazquez, Emmanuel, Bect, Julien

“…This paper deals with the convergence of the expected improvement algorithm, a popular global optimization algorithm based on a Gaussian process model of the function to be optimized…”
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Bees algorithm for generalized assignment problem by Özbakir, Lale, Baykasoğlu, Adil, Tapkan, Pınar

“… This makes them a good candidate for developing new algorithms for solving optimization problems…”
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Solutions of singular IVPs of Lane–Emden type by the variational iteration method by YILDINM, Ahmet, OZIS, Turgut

“…In this paper, approximate-exact solutions of a class of Lane–Emden type singular IVPs problems, by the variational iteration method, are presented…”
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Methods of critical value reduction for type-2 fuzzy variables and their applications by Qin, Rui, Liu, Yan-Kui, Liu, Zhi-Qiang

“…) for a regular fuzzy variable (RFV), and proposes three novel methods of reduction for a type-2 fuzzy variable…”
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Analysis of Half-Quadratic Minimization Methods for Signal and Image Recovery by Nikolova, Mila, Ng, Michael K.

“… (augmented) cost-functions has a simple explicit form. The goal of this paper is to provide a systematic analysis of the convergence rate achieved by these methods…”
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Analysis of service satisfaction in web auction logistics service using a combination of Fruit fly optimization algorithm and general regression neural network by Lin, Su-Mei

“…When constructing classification and prediction models, most researchers used genetic algorithm, particle swarm optimization algorithm, or ant colony optimization algorithm to optimize parameters…”
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