Constrained global optimization via a DIRECT-type constraint-handling technique and an adaptive metamodeling strategy
Sign Up to like & getrecommendations! Published in 2017 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-016-1482-6
Abstract: Recent metamodel-based global optimization algorithms are very promising for box-constrained expensive optimization problems. However, few of them can tackle constrained optimization problems. This article presents an improved constrained optimization algorithm, called eDIRECT-C, for expensive constrained… read more here.
Keywords: global optimization; constrained optimization; type constraint; optimization ... See more keywords
A novel constraint-handling technique based on dynamic weights for constrained optimization problems
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DOI: 10.1007/s00500-017-2603-x
Abstract: Bi-objective constraint-handling technique may be one of the most promising constraint techniques for constrained optimization problems. It regards the constraints as an extra objective and using Pareto ranking as selection operator. These algorithms achieve a… read more here.
Keywords: constrained optimization; constraint handling; handling technique; constraint ... See more keywords
An improved artificial bee colony with modified augmented Lagrangian for constrained optimization
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DOI: 10.1007/s00500-017-2665-9
Abstract: Artificial bee colony (ABC) algorithm has been successfully applied to solve constrained optimization problems (COPs). However, it is noteworthy that when using ABC to deal with COPs, the commonly used constraint-handling technique is the Deb’s… read more here.
Keywords: bee colony; artificial bee; optimization; constrained optimization ... See more keywords
A new infeasible proximal bundle algorithm for nonsmooth nonconvex constrained optimization
Sign Up to like & getrecommendations! Published in 2019 at "Computational Optimization and Applications"
DOI: 10.1007/s10589-019-00115-8
Abstract: Proximal bundle method has usually been presented for unconstrained convex optimization problems. In this paper, we develop an infeasible proximal bundle method for nonsmooth nonconvex constrained optimization problems. Using the improvement function we transform the… read more here.
Keywords: infeasible proximal; proximal bundle; nonconvex constrained; constrained optimization ... See more keywords
A mixed-integer PDE-constrained optimization formulation for constructing electromagnetic cloaks with multiple materials
Sign Up to like & getrecommendations! Published in 2025 at "Computational Optimization and Applications"
DOI: 10.1007/s10589-024-00644-x
Abstract: We study the design of an electromagnetic cloak from multiple materials with an additional constraint on the mass of the cloak. Our problem is an example of a topology optimization problem, and we formulate this… read more here.
Keywords: mixed integer; constrained optimization; multiple materials; problem ... See more keywords
Weighted thresholding homotopy method for sparsity constrained optimization
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Combinatorial Optimization"
DOI: 10.1007/s10878-020-00563-7
Abstract: We propose in this paper a novel weighted thresholding method for the sparsity-constrained optimization problem. By reformulating the problem equivalently as a mixed-integer programming, we investigate the Lagrange duality with respect to an $$l_1$$ l… read more here.
Keywords: method; weighted thresholding; optimization; constrained optimization ... See more keywords
An oracle penalty and modified augmented Lagrangian methods with firefly algorithm for constrained optimization problems
Sign Up to like & getrecommendations! Published in 2020 at "Operational Research"
DOI: 10.1007/s12351-017-0346-1
Abstract: Almost all engineering optimization problems in the real world are constrained in nature. Swarm intelligence is a bio-inspired technique based on studying and observing fireflies, ants, birds and fish in nature. Firefly algorithm (FA) is… read more here.
Keywords: optimization; value; optimization problems; constrained optimization ... See more keywords
Cascaded Fresnel holographic image encryption scheme based on a constrained optimization algorithm and Henon map
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DOI: 10.1016/j.optlaseng.2016.07.012
Abstract: Abstract We propose an image encryption scheme using chaotic phase masks and cascaded Fresnel transform holography based on a constrained optimization algorithm. In the proposed encryption scheme, the chaotic phase masks are generated by Henon… read more here.
Keywords: image; encryption scheme; scheme; encryption ... See more keywords
Ensemble-based constrained optimization using an exterior penalty method
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2021.109165
Abstract: Abstract In science and engineering, non-linear constrained optimization has been a useful mathematical technique for many practical applications. Of interest to us is its applicability in the modeling and prediction of hydrocarbon reservoir production. In… read more here.
Keywords: optimization; exterior penalty; problem; method ... See more keywords
Efficient implicit constraint handling approaches for constrained optimization problems
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DOI: 10.1038/s41598-024-54841-z
Abstract: Many real-world optimization problems, particularly engineering ones, involve constraints that make finding a feasible solution challenging. Numerous researchers have investigated this challenge for constrained single- and multi-objective optimization problems. In particular, this work extends the… read more here.
Keywords: implicit constraint; constrained optimization; optimization problems; constraint handling ... See more keywords
Surrogate-assisted global and distributed local collaborative optimization algorithm for expensive constrained optimization problems
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DOI: 10.1038/s41598-025-85233-6
Abstract: This paper presents a surrogate-assisted global and distributed local collaborative optimization (SGDLCO) algorithm for expensive constrained optimization problems where two surrogate optimization phases are executed collaboratively at each generation. As the complexity of optimization problems… read more here.
Keywords: expensive constrained; constrained optimization; optimization problems; distributed local ... See more keywords