Search Results - Numerical methods in mathematical programming, optimization and calculus of variations

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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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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Effective implementation of the ε-constraint method in Multi-Objective Mathematical Programming problems by Mavrotas, George

“…As indicated by the most widely accepted classification, the Multi-Objective Mathematical Programming (MOMP…”
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Iteratively reweighted least squares minimization for sparse recovery by Daubechies, Ingrid, DeVore, Ronald, Fornasier, Massimo, Güntürk, C. Si̇nan

“…; in addition, x is then equal to the element in Φ−1(y) of minimal 𝓁1‐norm. This minimal element can be identified via linear programming algorithms…”
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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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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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A comparative study of Artificial Bee Colony algorithm by Karaboga, Dervis, Akay, Bahriye

“… ABC simulates the intelligent foraging behaviour of a honeybee swarm. In this work, ABC is used for optimizing a large set of numerical test functions…”
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An improved harmony search algorithm for solving optimization problems by Mahdavi, M., Fesanghary, M., Damangir, E.

“… Numerical results reveal that the proposed algorithm can find better solutions when compared to HS and other heuristic or deterministic methods and is a powerful search algorithm for various…”
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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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A real coded genetic algorithm for solving integer and mixed integer optimization problems by Deep, Kusum, Singh, Krishna Pratap, Kansal, M.L., Mohan, C.

“…In this paper, a real coded genetic algorithm named MI-LXPM is proposed for solving integer and mixed integer constrained optimization problems…”
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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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Global-best harmony search by Omran, Mahamed G.H., Mahdavi, Mehrdad

“…Harmony search (HS) is a new meta-heuristic optimization method imitating the music improvisation process where musicians improvise their instruments…”
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A hybrid particle swarm optimization–back-propagation algorithm for feedforward neural network training by Zhang, Jing-Ru, Zhang, Jun, Lok, Tat-Ming, Lyu, Michael R.

“…The particle swarm optimization algorithm was showed to converge rapidly during the initial stages of a global search, but around global optimum, the search process will become very slow…”
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A hybrid particle swarm optimization with a feasibility-based rule for constrained optimization by He, Qie, Wang, Ling

“… For constrained optimization, the penalty function method has been regarded as one of the most popular constraint-handling technique so far, whereas its drawback lies in the determination of suitable…”
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An improved particle swarm optimization algorithm by Jiang, Yan, Hu, Tiesong, Huang, ChongChao, Wu, Xianing

“…An improved particle swarm optimization (IPSO) is proposed in this paper. In the new algorithm, a population of points sampled randomly from the feasible space…”
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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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Quantile cointegrating regression by Xiao, Zhijie

“…Quantile regression has important applications in risk management, portfolio optimization, and asset pricing…”
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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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