Search Results - "Numerical methods in mathematical programming"

A comparative study of Artificial Bee Colony algorithm by Karaboga, Dervis, Akay, Bahriye

“…Artificial Bee Colony (ABC) algorithm is one of the most recently introduced swarm-based algorithms. ABC simulates the intelligent foraging behaviour of a…”
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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) methods can be classified as a priori, interactive…”
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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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Iteratively reweighted least squares minimization for sparse recovery by Daubechies, Ingrid, DeVore, Ronald, Fornasier, Massimo, Güntürk, C. Si̇nan

“…Under certain conditions (known as the restricted isometry property, or RIP) on the m × N matrix Φ (where m < N), vectors x ∈ ℝN that are sparse (i.e., have…”
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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). Our focus is on the computational…”
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SparseNet: Coordinate Descent With Nonconvex Penalties by Mazumder, Rahul, Friedman, Jerome H., Hastie, Trevor

“…We address the problem of sparse selection in linear models. A number of nonconvex penalties have been proposed in the literature for this purpose, along with…”
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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. The proposed…”
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An improved harmony search algorithm for solving optimization problems by Mahdavi, M., Fesanghary, M., Damangir, E.

“…This paper develops an Improved harmony search (IHS) algorithm for solving optimization problems. IHS employs a novel method for generating new solution…”
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An M/M/c queue model for hub covering location problem by Mohammadi, Mehrdad, Jolai, Fariborz, Rostami, Hamideh

“…The hub location problem appears in a variety of applications including airline systems, cargo delivery systems, and telecommunication network design. Hub…”
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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’ pitches…”
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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? I derive bounds on structural price…”
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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), to solve constraint optimization tasks. BA is verified using…”
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Projected Barzilai-Borwein methods for large-scale box-constrained quadratic programming by Dai, Yu-Hong, Fletcher, Roger

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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…”
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Computational methods for solving fully fuzzy linear systems by Dehghan, Mehdi, Hashemi, Behnam, Ghatee, Mehdi

“…Since many real-world engineering systems are too complex to be defined in precise terms, imprecision is often involved in any engineering design process…”
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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…”
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On the parameterized complexity of multiple-interval graph problems by Fellows, Michael R., Hermelin, Danny, Rosamond, Frances, Vialette, Stéphane

“…Multiple-interval graphs are a natural generalization of interval graphs where each vertex may have more than one interval associated with it. Many…”
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Integration, participation and optimal control in water resources planning and management by Castelletti, Andrea, Pianosi, Francesca, Soncini-Sessa, Rodolfo

“…Water resource systems provide a challenging testing ground for System Analysis and Optimal Control Theory. The intrinsic complexity of the physical system,…”
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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. In the proposed SGHS algorithm, a…”
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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) algorithm for…”
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