Results 31 to 40 of about 2,841,488 (326)
CMA-ES based topology optimization for acoustic cloak
Nihon Kikai Gakkai ronbunshu, 2018 This paper presents a topology optimization based on a covariance matrix adaptation evolution strategy (CMA-ES) for acoustic cloaks rendering a scattering object acoustically invisible.
Masayuki TAKAHASHI +2 more
doaj +1 more source
Angle-Based Parametrization with Evolutionary Optimization for OESCL-Band Y-Junction Splitters
Photonics, 2023 The design of passive photonic devices based on geometry optimization can lead to energy-efficient, small-footprint, and fabrication-ready geometries. In this work, we propose an angle-based parametrization method to optimize Y-junction splitters based ...
Roy Prosopio-Galarza +5 more
doaj +1 more source
Increasing Population (μ + λ)-CMA-ES with Centre and Elitism (IPOP!+)
Mendel, 2018 Elitism has previously been introduced to the CMA-ES family of algorithms, where the “’,’ selection operator is replaced by the “+” selection operator. Here we investigate in detailed the addition of elitism to IPOP. Furthermore, a new selection operator
Mark Wineberg, Samuel Opawale
doaj +1 more source
Genome Medicine, 2019 Background Exome sequencing (ES) has been successfully applied in clinical detection of single nucleotide variants (SNVs) and small indels. However, identification of copy number variants (CNVs) using ES data remains challenging.
Avinash V. Dharmadhikari +34 more
doaj +1 more source
Anytime Bi-Objective Optimization with a Hybrid Multi-Objective CMA-ES (HMO-CMA-ES) [PDF]
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, 2016 We propose a multi-objective optimization algorithm aimed at achieving good anytime performance over a wide range of problems. Performance is assessed in terms of the hypervolume metric. The algorithm called HMO-CMA-ES represents a hybrid of several old and new variants of CMA-ES, complemented by BOBYQA as a warm start.
Loshchilov, Ilya, Glasmachers, Tobias
openaire +2 more sources
Self-Adaptive Surrogate-Assisted Covariance Matrix Adaptation Evolution Strategy [PDF]
, 2012 This paper presents a novel mechanism to adapt surrogate-assisted population-based algorithms. This mechanism is applied to ACM-ES, a recently proposed surrogate-assisted variant of CMA-ES. The resulting algorithm, saACM-ES, adjusts online the lifelength
Loshchilov, Ilya +2 more
core +4 more sources
Cirugía y Cirujanos, 2023 Antecedentes: La enfermedad venosa crónica es una patología frecuente y prevalente. Su tratamiento quirúrgico ha mostrado ser coste-efectivo. La endoablación térmica realizada como cirugía mayor ambulatoria (CMA) es la técnica de elección.
Renato Jiménez-Román +2 more
doaj +1 more source
A global surrogate assisted CMA-ES [PDF]
Proceedings of the Genetic and Evolutionary Computation Conference, 2019 We explore the arguably simplest way to build an effective surrogate fitness model in continuous search spaces. The model complexity is linear or diagonal-quadratic or full quadratic, depending on the number of available data. The model parameters are computed from the Moore-Penrose pseudoinverse.
openaire +1 more source
Maximum Likelihood-based Online Adaptation of Hyper-parameters in CMA-ES [PDF]
, 2014 The Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is widely accepted as a robust derivative-free continuous optimization algorithm for non-linear and non-convex optimization problems.
C. Igel +4 more
core +5 more sources
Frontiers in Genetics, 2023 Introduction: Prenatal ultrasound (US) anomalies are detected in around 5%–10% of pregnancies. In prenatal diagnosis, exome sequencing (ES) diagnostic yield ranges from 6% to 80% depending on the inclusion criteria.
Frédéric Tran Mau-Them +84 more
doaj +1 more source