Results 101 to 110 of about 1,590,381 (357)

Efficient algorithms for multidimensional global optimization in genetic mapping of complex traits

Advances and Applications in Bioinformatics and Chemistry, 2010
Kajsa Ljungberg1, Kateryna Mishchenko2, Sverker Holmgren11Division of Scientific Computing, Department of Information Technology, Uppsala University, Uppsala, Sweden; 2Department of Mathematics and Physics, Mälardalen University College, V& ...
Kajsa Ljungberg, Kateryna Mishchenko, Sverker Holmgren   +1 more
doaj  

A global optimization method based on the reduced simplicial statistical model

Mathematical Modelling and Analysis, 2011
A simplicial statistical model of multimodal functions is used to construct a global optimization algorithm. The search for the global minimum in the multidimensional space is reduced to the search over the edges of simplices covering the feasible region
Antanas Žilinskas, Julius Žilinskas
doaj   +1 more source

A stochastic technique for global optimization

Computers & Mathematics with Applications, 1991
AbstractA stochastic technique for multiextremal optimization is discussed; the technique derives from the adoption of sequential stopping rules for the well-known Multistart algorithm. The stopping rules are developed in a Bayesian nonparametric framework.
Bruno Betrò, Fabio Schoen
openaire   +2 more sources

Replenishing co‐downregulated miR‐100‐5p and miR‐125b‐5p in malignant germ cell tumors causes growth inhibition through cell cycle disruption

Molecular Oncology, EarlyView.
MiR‐99a‐5p/miR‐100‐5p (functionally identical) and miR‐125b‐5p microRNAs are downregulated in malignant germ cell tumors (GCTs). Combination replenishment of these microRNAs using mimics resulted in growth inhibition in representative cell lines, with consequent downregulation of target genes involved in cell cycle (confirmed by flow cytometry) and ...
Marta Ferraresso, Shivani Bailey, Luz Alonso‐Crisostomo, Dawn Ward, Christos Panayi, Zachary G. L. Scurlock, Harpreet K. Saini, Stephen P. Smith, James C. Nicholson, Anton J. Enright, Cinzia G. Scarpini, Nicholas Coleman, Matthew J. Murray   +12 more
wiley   +1 more source

A New Challenging Curve Fitting Benchmark Test Set for Global Optimization [PDF]

arXiv, 2023
Benchmark sets are extremely important for evaluating and developing global optimization algorithms and related solvers. A new test set named PCC benchmark is proposed especially for optimization problems of nonlinear curve fitting for the first time, with the aspiration of helping developers to investigate and compare the performance of different ...
arxiv  

An Inter-molecular Adaptive Collision Scheme for Chemical Reaction Optimization

, 2015
Optimization techniques are frequently applied in science and engineering research and development. Evolutionary algorithms, as a kind of general-purpose metaheuristic, have been shown to be very effective in solving a wide range of optimization problems.
Lam, Albert Y. S., Li, Victor O. K., Yu, James J. Q.   +2 more
core   +1 more source

Global Optimization Algorithms in Multidisciplinary Design Optimization [PDF]

12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2008
While Multidisciplinay Design Optimization (MDO) literature focuses mainly on the development of different formulations, through the manipulation of design variables, less attention is generally devoted to the combination of specific MDO formulations with existing nonlinear optimization algorithms.
PERI D., FASANO, Giovanni, DESSI D., CAMPANA E. F.   +3 more
openaire   +4 more sources

NanoCMSer: a consensus molecular subtype stratification tool for fresh‐frozen and paraffin‐embedded colorectal cancer samples

Molecular Oncology, EarlyView.
Consensus molecular subtypes (CMS1‐4) have been identified to study colorectal cancer heterogeneity and serve as potential biomarkers. In this study, we developed and evaluated NanoCMSer, a NanoString‐based classifier using 55 genes, optimized for FF and FFPE to facilitate the clinical evaluation of CMS subtyping.
Arezo Torang, Simone van de Weerd, Veerle Lammers, Sander van Hooff, Inge van den Berg, Saskia van den Bergh, Miriam Koopman, Jan N. IJzermans, Jeanine M. L. Roodhart, Jan Koster, Jan Paul Medema   +10 more
wiley   +1 more source

Continuous extremal optimization for Lennard-Jones Clusters

, 2004
In this paper, we explore a general-purpose heuristic algorithm for finding high-quality solutions to continuous optimization problems. The method, called continuous extremal optimization(CEO), can be considered as an extension of extremal optimization ...
Bing-Hong Wang, D. E. Goldberg, E. H. L. Aarts, J. Holland, L. T. Wille, Long-Jiu Cheng, M. R. Garey, S. Boettcher, S. Boettcher, Tao Zhou, W. Banzhaf, Wen-Jie Bai   +11 more
core   +1 more source

Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon

Molecular Oncology, EarlyView.
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran, Clarence Yapp, Gregory J. Baker, Johanna Beyer, Young Hwan Chang, Allison L. Creason, Robert Krueger, Jeremy Muhlich, Nathan Heath Patterson, Kevin Sidak, Damir Sudar, Adam J. Taylor, Luke Ternes, Jakob Troidl, Xie Yubin, Artem Sokolov, Darren R. Tyson   +16 more
wiley   +1 more source