Results 21 to 30 of about 46,799 (193)
On the Impact of a Small Initial Population Size in the IPOP Active CMA-ES with Mirrored Mutations on the Noiseless BBOB Testbed [PDF]
, 2012 International audienceActive Covariance Matrix Adaptation and Mirrored Mutations have been independently proposed as improved variants of the well-known optimization algorithm Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for numerical ...
Auger, Anne +2 more
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Mirrored Orthogonal Sampling for Covariance Matrix Adaptation Evolution Strategies
Evolutionary Computation, 2019 Generating more evenly distributed samples in high dimensional search spaces is the major purpose of the recently proposed mirrored sampling technique for evolution strategies. The diversity of the mutation samples is enlarged and the convergence rate is therefore improved by the mirrored sampling.
Wang, H. +2 more
openaire +4 more sources
Improving (1+1) covariance matrix adaptation evolution strategy: A simple yet efficient approach [PDF]
AIP Conference Proceedings, 2019 In recent years, part of the meta-heuristic optimisation research community has called for a simplification of the algorithmic design: indeed, while most of the state-of-The-Art algorithms are characterised by a high level of complexity, complex algorithms are hard to understand and therefore tune for specific real-world applications.
Caraffini F., Iacca G., Yaman A.
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Experimental Comparisons of Derivative Free Optimization Algorithms [PDF]
, 2009 In this paper, the performances of the quasi-Newton BFGS algorithm, the NEWUOA derivative free optimizer, the Covariance Matrix Adaptation Evolution Strategy (CMA-ES), the Differential Evolution (DE) algorithm and Particle Swarm Optimizers (PSO) are ...
D.N. Wilke +9 more
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Two-Stage Intelligent Layout Design of Curved Cabin Door
Aerospace, 2023 As one of the most complex and critical components of spacecraft, the structural design of the curved cabin door faces two challenges. On the one hand, it is difficult to obtain innovative configurations for the cabin door in the preliminary design stage.
Tianhe Gao +4 more
doaj +1 more source
Source mask optimization using the covariance matrix adaptation evolution strategy
Optics Express, 2020 Source mask optimization (SMO) is one of the indispensable resolution enhancement techniques to guarantee the image fidelity and process robustness for the 2Xnm technology node and beyond. The optimization capacity and convergence efficiency of SMO are important, especially for full-chip SMO.
Guodong Chen, Sikun Li, Xiangzhao Wang
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Comparing Mirrored Mutations and Active Covariance Matrix Adaptation in the IPOP-CMA-ES on the Noiseless BBOB Testbed [PDF]
, 2012 International audienceThis paper investigates two variants of the well-known Covariance Matrix Adaptation Evolution Strategy (CMA-ES). Active covariance matrix adaptation allows for negative weights in the covariance matrix update rule such that "bad ...
Auger, Anne +2 more
core +4 more sources
Archives of Control Sciences, 2014 This paper presents an automatic tuning of multivariable Fractional-Order Proportional, Integral and Derivative controller (FO-PID) parameters using Covariance Matrix Adaptation Evolution Strategy (CMAES) algorithm.
Sivananaithaperumal Sudalaiandi +1 more
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Identification of the Isotherm Function in Chromatography Using CMA-ES [PDF]
, 2007 This paper deals with the identification of the flux for a system of conservation laws in the specific example of analytic chromatography. The fundamental equations of chromatographic process are highly non linear. The state-of-the-art Evolution Strategy,
Auger, Anne +4 more
core +5 more sources
Black-Box Optimization Using Geodesics in Statistical Manifolds
Entropy, 2015 Information geometric optimization (IGO) is a general framework for stochastic optimization problems aiming at limiting the influence of arbitrary parametrization choices: the initial problem is transformed into the optimization of a smooth function on a
Jérémy Bensadon
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