Results 81 to 90 of about 9,535,029 (378)
An Improved Artificial Bee Colony Algorithm With Fitness-Based Information
IEEE Access, 2019 Artificial bee colony (ABC) algorithm is widely known for its distinguished exploration ability. However, its exploitation ability is relatively poor.
Wan-Li Xiang +4 more
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Molecular Oncology, EarlyView.This study used longitudinal transcriptomics and gene‐pattern classification to uncover patient‐specific mechanisms of chemotherapy resistance in breast cancer. Findings reveal preexisting drug‐tolerant states in primary tumors and diverse gene rewiring patterns across patients, converging on a few dysregulated functional modules. Despite receiving the
Maya Dadiani +14 more
wiley +1 more source
IEEE AccessThe Tasmanian Devil Optimization (TDO) algorithm, a recently popular metaheuristic algorithm, exhibits issues such as slow convergence, low precision, and susceptibility to getting stuck in local optima when applied to practical problems.
Wei Wang, Lixin Lyu
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Molecular Oncology, EarlyView.This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh +8 more
wiley +1 more source
Robust analysis and global optimization [PDF]
Computers & Mathematics with Applications, 1990 The paper is devoted to the problem of finding the global minimum of a lower semicontinuous and robust function \(f\). A set is robust if \(\text{cl}(D)=\text{cl}(\text{int}(D))\) and \(f\) is robust if its epigraph is robust. An optimality condition using topological measures \(\mu\) (nonempty open sets should have positive measure) is given in the ...
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Molecular Oncology, EarlyView.Non‐thermal plasma treatment of melanoma cells induced epithelial‐mesenchymal transition (EMT) in a dose‐dependent fashion. This report highlights the critical need to further investigate potential adverse effects of non‐thermal plasma for cancer therapy and to optimize treatment parameters for clinical translation. Despite the promising results of non‐
Eline Biscop +10 more
wiley +1 more source
Fast Task Scheduling With Model Predictive Control Integrating a Priority-Based Heuristic
IEEE AccessThis paper presents a scalable Model Predictive Control (MPC) algorithm for task scheduling and real time re-scheduling. The use case motivating the work is given by the problem of managing the integration activities involved in the final assembly of the
Francesco Liberati +3 more
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Validation of a model of regulation in the tryptophan operon against multiple experiment data using global optimisation [PDF]
, 2009 This paper is concerned with validating a mathematical model of regulation in the tryptophan operon using global optimization. Although a number of models for this biochemical network are proposed, in many cases only qualitative agreement between the ...
Bates, D.G. +4 more
core
Benchmarking Global Optimizers
, 2019 We benchmark seven global optimization algorithms by comparing their performance on challenging multidimensional test functions as well as a method of simulated moments estimation of a panel data model of earnings dynamics. Five of the algorithms are taken from the popular NLopt open-source library: (i) Controlled Random Search with local mutation (CRS)
Fatih Guvenen +2 more
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Novelty search for global optimization
Applied Mathematics and Computation, 2019 Novelty search is a tool in evolutionary and swarm robotics for maintaining the diversity of population needed for continuous robotic operation. It enables nature-inspired algorithms to evaluate solutions on the basis of the distance to their k-nearest neighbors in the search space.
Akemi Gálvez +8 more
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