Identifying the parameters of different configurations of photovoltaic models based on recent artificial ecosystem‐based optimization approach
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Energy Research"
DOI: 10.1002/er.5747
Abstract: Identifying accurate and precise photovoltaic models' parameters is the primary gate in providing a proper PV system design simulate its real behavior. Therefore, this article proposed a new approach based on a recent meta‐heuristic algorithm… read more here.
Keywords: artificial ecosystem; photovoltaic models; based optimization; ecosystem based ... See more keywords
A diagonalized improved subspace-based optimization method for solving 2-D inverse scattering problems
Sign Up to like & getrecommendations! Published in 2017 at "Microwave and Optical Technology Letters"
DOI: 10.1002/mop.30679
Abstract: This letter proposes a diagonalized improved subspace-based optimization method (DISOM) by introducing the diagonal approximation to the improved subspace-based optimization method (ISOM). In the diagonal approximation which has been used in the contrast source inversion,… read more here.
Keywords: subspace based; improved subspace; based optimization; optimization method ... See more keywords
Model‐Based Optimization of Short Stroke Control in Roughing Mills
Sign Up to like & getrecommendations! Published in 2017 at "Steel Research International"
DOI: 10.1002/srin.201700220
Abstract: Automatic width control is one key issue in hot strip rolling and the main actuator for width control is the vertical draft (edging) applied to slabs in the roughing sequence. In order to compensate for… read more here.
Keywords: model based; simulation model; control; based optimization ... See more keywords
A multi-fidelity RBF surrogate-based optimization framework for computationally expensive multi-modal problems with application to capacity planning of manufacturing systems
Sign Up to like & getrecommendations! Published in 2020 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-020-02575-7
Abstract: This paper presents a multi-fidelity RBF (radial basis function) surrogate-based optimization framework (MRSO) for computationally expensive multi-modal optimization problems when multi-fidelity (high-fidelity (HF) and low-fidelity (LF)) models are available. The HF model is expensive and… read more here.
Keywords: fidelity; based optimization; multi fidelity; optimization ... See more keywords
UBC-constrained non-probabilistic reliability-based optimization of structures with uncertain-but-bounded parameters
Sign Up to like & getrecommendations! Published in 2020 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-020-02697-y
Abstract: A new UBC-constrained (ultimate-bearing-capacity-constrained) non-probabilistic reliability-based optimization method for structures with uncertain-but-bounded parameters is proposed. Different from the traditional stress-constrained optimization, the ultimate bearing capacity (UBC) is taken as the constraints in the non-probabilistic reliability-based… read more here.
Keywords: reliability based; based optimization; non probabilistic; optimization ... See more keywords
Stochastic economic analysis of FACTS devices on contingent transmission networks using hybrid biogeography-based optimization
Sign Up to like & getrecommendations! Published in 2019 at "Electrical Engineering"
DOI: 10.1007/s00202-019-00825-6
Abstract: Flexible AC transmission systems (FACTS) devices have advantages of enhancing AC system controllability and stability, increasing power transfer capability and relieving congestion. Finding the best sizing and siting of them is obligatory to obtain the… read more here.
Keywords: facts devices; biogeography based; approach; based optimization ... See more keywords
A generalized computationally efficient inverse characterization approach combining direct inversion solution initialization with gradient-based optimization
Sign Up to like & getrecommendations! Published in 2017 at "Computational Mechanics"
DOI: 10.1007/s00466-016-1362-3
Abstract: A computationally efficient gradient-based optimization approach for inverse material characterization from incomplete system response measurements that can utilize a generally applicable parameterization (e.g., finite element-type parameterization) is presented and evaluated. The key to this inverse… read more here.
Keywords: gradient based; based optimization; gradient; inverse characterization ... See more keywords
A reformative teaching–learning-based optimization algorithm for solving numerical and engineering design optimization problems
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-020-04918-4
Abstract: Teaching–learning-based optimization (TLBO) algorithm, which simulates the process of teaching–learning in the classroom, has been studied by many researchers, and a number of experiments have shown that it has great performance in solving optimization problems.… read more here.
Keywords: based optimization; teaching learning; optimization; engineering design ... See more keywords
Buckling load of laminated composite plates using three variants of the biogeography-based optimization algorithm
Sign Up to like & getrecommendations! Published in 2018 at "Acta Mechanica"
DOI: 10.1007/s00707-017-2068-0
Abstract: This paper presents the application of the biogeography-based optimization (BBO) and some of its variants in the optimization of stacking sequence of laminated composites. Harmony search is also implemented to compare its results with those… read more here.
Keywords: biogeography based; load laminated; buckling load; based optimization ... See more keywords
Model-based optimization strategies for chromatographic processes: a review
Sign Up to like & getrecommendations! Published in 2020 at "Adsorption"
DOI: 10.1007/s10450-020-00251-2
Abstract: Many decisions must be made when determining design and operation of a chromatographic process. Such decisions should optimize the performance, including product purity, recovery, productivity, and desorbent consumption. For this problem, model-based optimization has been… read more here.
Keywords: model based; optimization strategies; based optimization; optimization ... See more keywords
A modified teaching–learning-based optimization algorithm for numerical function optimization
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-018-0815-8
Abstract: In this paper, a kind of modified teaching–learning-based optimization algorithm (MTLBO) is proposed to enhance the solution quality and accelerate the convergence speed of the conventional TLBO. Compared with TLBO, the MTLBO algorithm possesses different… read more here.
Keywords: mtlbo; optimization; teaching learning; modified teaching ... See more keywords