Results 41 to 50 of about 673,864 (284)
Molecular Oncology, EarlyView.Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra +10 more
wiley +1 more source
Gestão & ProduçãoThis paper addresses the school timetabling problem, which consists of defining the date and time in which classes will be given by teachers in educational institutions.
Pedro Rochavetz de Lara Andrade +2 more
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Combinatorial Optimization by Iterative Partial Transcription
, 1999 A procedure is presented which considerably improves the performance of local search based heuristic algorithms for combinatorial optimization problems.
A. Möbius +4 more
core +2 more sources
Extremal Optimization: An Evolutionary Local-Search Algorithm
, 2003 A recently introduced general-purpose heuristic for finding high-quality solutions for many hard optimization problems is reviewed. The method is inspired by recent progress in understanding far-from-equilibrium phenomena in terms of {\em self-organized criticality,} a concept introduced to describe emergent complexity in physical systems. This method,
Boettcher, Stefan, Percus, Allon G.
openaire +2 more sources
Molecular Oncology, EarlyView.Generation of two normal and tumour (cancerous) paired human cell lines using an established tissue culture technique and their characterisation is described. Cell lines were characterised at cellular, protein, chromosome and gene expression levels and for HPV status.
Simon Broad +12 more
wiley +1 more source
Evolutionary multiobjective optimization via efficient sampling-based offspring generation
Complex & Intelligent Systems, 2023 With the rising number of large-scale multiobjective optimization problems from academia and industries, some evolutionary algorithms (EAs) with different decision variable handling strategies have been proposed in recent years. They mainly emphasize the
Cheng He +3 more
doaj +1 more source
Genetic local search in combinatorial optimization
Discrete Applied Mathematics, 1994 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kolen, Antoon, Pesch, Erwin
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Restarted Local Search Algorithms for Continuous Black Box Optimization [PDF]
Evolutionary Computation, 2012 Several local search algorithms for real-valued domains (axis parallel line search, Nelder-Mead simplex search, Rosenbrock's algorithm, quasi-Newton method, NEWUOA, and VXQR) are described and thoroughly compared in this article, embedding them in a multi-start method.
Pošík, Petr, Huyer, Waltraud
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Molecular Oncology, EarlyView.The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg +43 more
wiley +1 more source
Improving Search Accuracy in Large-Scale Biased Multiobjective Optimization Through Local Search
International Journal of Computational Intelligence SystemsBiased multiobjective optimization problems pose a challenge for evolutionary algorithms in obtaining high-accuracy solutions, and as the number of decision variables increases, this challenge becomes increasingly difficult to overcome.
Feng Yin, Bin Cao
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