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Abbreviation : CMA-ES
Long Form : covariance matrix adaptation evolution strategy
No. Year Title Co-occurring Abbreviation
2020 A Reference Vector-Based Simplified Covariance Matrix Adaptation Evolution Strategy for Constrained Global Optimization. BOP, COPs, MOO, RV
2020 Achieving Highly Scalable Evolutionary Real-Valued Optimization by Exploiting Partial Evaluations. EA, GBO, GOMEA, LM-CMA-ES, RV-GOMEA
2020 Application of evolutionary algorithms to optimise one- and two-dimensional gradient chromatographic separations. ES, GA
2020 Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies. ---
2020 Fast Covariance Matrix Adaptation for Large-Scale Black-Box Optimization. Fast CMA-ES
2020 Source mask optimization using the covariance matrix adaptation evolution strategy. SMO
2019 Ab Initio Derived Force Fields for Zeolitic Imidazolate Frameworks: MOF-FF for ZIFs. ---
2019 Evolutionary Algorithm Optimization of Zeeman Deceleration: Is It Worthwhile for Longer Decelerators? ---
2019 Gaussian Process Surrogate Models for the CMA Evolution Strategy. ---
10  2019 In silico markers: an evolutionary and statistical approach to select informative genes of human breast cancer subtypes. HER2, LASSO, LumA, LumB, SVM
11  2019 Large-Scale Evolution Strategy Based on Search Direction Adaptation. SDA-ES
12  2019 Mirrored Orthogonal Sampling for Covariance Matrix Adaptation Evolution Strategies. BBOB
13  2019 ReaxFF Parameter Optimization with Monte-Carlo and Evolutionary Algorithms: Guidelines and Insights. GAs, MCFF
14  2018 Optimizing self-consistent field theory block copolymer models with X-ray metrology. PS-b-PMMA, SCFT
15  2018 Parameter Optimization Using Covariance Matrix Adaptation-Evolutionary Strategy (CMA-ES), an Approach to Investigate Differences in Channel Properties Between Neuron Subtypes. ---
16  2017 Biased Multiobjective Optimization and Decomposition Algorithm. DE, MOEAs, MOP
17  2017 Evolutionary Algorithm Based Feature Optimization for Multi-Channel EEG Classification. EA
18  2017 Joint Optimization of Fluence Field Modulation and Regularization in Task-Driven Computed Tomography. beta, FBP, FFM, PL
19  2017 Registration of MRI to intraoperative radiographs for target localization in spinal interventions. CAR, GO, PDE
20  2017 Task-driven optimization of CT tube current modulation and regularization in model-based iterative reconstruction. FBP, MBIR, MTF, NPS, TCM
21  2016 Task-Based Design of Fluence Field Modulation in CT for Model-Based Iterative Reconstruction. FFM, MBIR
22  2015 Adaptive Parent Population Sizing in Evolution Strategies. ---
23  2015 Communication: molecular dynamics and (1)H NMR of n-hexane in liquid crystals. ---
24  2015 Known-Component 3D-2D Registration for Image Guidance and Quality Assurance in Spine Surgery Pedicle Screw Placement. GC, QA
25  2015 Known-component 3D-2D registration for quality assurance of spine surgery pedicle screw placement. KC-Reg, QA
26  2015 Spatial filter and feature selection optimization based on EA for multi-channel EEG. BMFLC, EA
27  2014 Efficient retrieval of landscape Hessian: forced optimal covariance adaptive learning. FOCAL
28  2014 Evaluation of low-dose limits in 3D-2D rigid registration for surgical guidance. TRE
29  2014 Infrared broadband quarter-wave and half-wave plates synthesized from anisotropic Bezier metasurfaces. GA
30  2014 On the effectiveness of nature-inspired metaheuristic algorithms for performing phase equilibrium thermodynamic calculations. ABC, BBPSO, CS, MCSS
31  2013 Global parameter estimation for thermodynamic models of transcriptional regulation. QN/NMS
32  2013 NMR of short-chain hydrocarbons in nematic and smectic a liquid crystals. RN, SmA, tg
33  2010 Adaptive niche radii and niche shapes approaches for niching with the CMA-ES. ES
34  2010 Consistent sparse representations of EEG ERP and ICA components based on wavelet and chirplet dictionaries. ERPs, MP
35  2009 Biomechanically constrained groupwise US to CT registration of the lumbar spine. CT, US
36  2007 Covariance matrix adaptation for multi-objective optimization. MO-CMA-ES, MOO
37  2005 Optimizing conductance parameters of cortical neural models via electrotonic partitions. ---
38  2002 A computationally efficient evolutionary algorithm for real-parameter optimization. EAs, GAs, SPX