Global Optimization of Adsorbate Covered Supported Cluster Catalysts: The Case of Pt7H10CH3 on α‐Al2O3
Sign Up to like & getrecommendations! Published in 2019 at "ChemCatChem"
DOI: 10.1002/cctc.201901830
Abstract: Determining structures of supported sub‐nanometer catalytic clusters is important for finding binding sites, active sites, and reaction mechanisms. In realistic conditions, the cluster may be covered with adsorbed reactants and intermediates, which strongly affect the… read more here.
Keywords: global optimization; cluster; adsorbate covered; covered supported ... See more keywords
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
Adaptive efficient global optimization of systems with independent components
Sign Up to like & getrecommendations! Published in 2017 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-017-1663-y
Abstract: We present a novel approach for efficient optimization of systems consisting of expensive to simulate components and relatively inexpensive system-level simulations. We consider the types of problem in which the components of the system problem… read more here.
Keywords: optimization systems; adaptive efficient; global optimization; efficient global ... See more keywords
Ensemble of surrogate based global optimization methods using hierarchical design space reduction
Sign Up to like & getrecommendations! Published in 2018 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-018-1906-6
Abstract: For computationally expensive black-box problems, surrogate models are widely employed to reduce the needed computation time and efforts during the search of the global optimum. However, the construction of an effective surrogate model over a… read more here.
Keywords: space; global optimization; design space; hierarchical design ... See more keywords
Monte Carlo integration with adaptive variance selection for improved stochastic efficient global optimization
Sign Up to like & getrecommendations! Published in 2019 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-019-02212-y
Abstract: In this paper, the minimization of computational cost on evaluating multidimensional integrals is explored. More specifically, a method based on an adaptive scheme for error variance selection in Monte Carlo integration (MCI) is presented. It… read more here.
Keywords: integration; global optimization; selection; mci ... See more keywords
An improved elephant herding optimization for global optimization problems
Sign Up to like & getrecommendations! Published in 2021 at "Engineering with Computers"
DOI: 10.1007/s00366-021-01471-y
Abstract: This study proposes a modified Elephant Herding Optimization algorithm to enhance the capability of a classical algorithm for convalescent convergence rate and precision to solve global optimization problems. The proposed Improved Elephant Herding Optimization (IEHO)… read more here.
Keywords: optimization; improved elephant; optimization problems; global optimization ... See more keywords
A self-adaptive artificial bee colony algorithm based on global best for global optimization
Sign Up to like & getrecommendations! Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-017-2547-1
Abstract: Intelligent optimization algorithms based on evolutionary and swarm principles have been widely researched in recent years. The artificial bee colony (ABC) algorithm is an intelligent swarm algorithm for global optimization problems. Previous studies have shown… read more here.
Keywords: bee colony; algorithm; global optimization; self adaptive ... See more keywords
Adaptive differential search algorithm with multi-strategies for global optimization problems
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04538-6
Abstract: Differential search (DSA) is a recently proposed evolutionary algorithm mimicking the Brownian motion-like random movement existing in living beings. Though it has displayed promise for global optimization, the original DSA suffers from relatively poor search… read more here.
Keywords: algorithm; search; global optimization; adaptive differential ... See more keywords
A Spark-based differential evolution with grouping topology model for large-scale global optimization
Sign Up to like & getrecommendations! Published in 2020 at "Cluster Computing"
DOI: 10.1007/s10586-020-03124-z
Abstract: Over the past few years, cloud computing model (e.g., Spark) has aroused huge attention. Differential evolution (DE) has been applied to cloud computing models by a number of researchers for its merits in solving large-scale… read more here.
Keywords: large scale; scale global; global optimization; topology ... See more keywords
Controlled showering optimization algorithm: an intelligent tool for decision making in global optimization
Sign Up to like & getrecommendations! Published in 2019 at "Computational and Mathematical Organization Theory"
DOI: 10.1007/s10588-019-09293-6
Abstract: In this study a novel population based meta-heuristic, called controlled showering optimization (CSO) algorithm, for global optimization of unconstrained problems is presented. Modern irrigation systems are equipped with smart tools manufactured and controlled by human… read more here.
Keywords: optimization; cso algorithm; controlled showering; global optimization ... See more keywords
A mixed integer programming-based global optimization framework for analyzing gene expression data
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Global Optimization"
DOI: 10.1007/s10898-017-0530-0
Abstract: The analysis of high throughput gene expression patients/controls experiments is based on the determination of differentially expressed genes according to standard statistical tests. A typical bioinformatics approach to this problem is composed of two separate… read more here.
Keywords: global optimization; mixed integer; expression; gene expression ... See more keywords