Results 41 to 50 of about 2,841,488 (326)
Injecting CMA-ES into MOEA/D [PDF]
Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, 2015 MOEA/D is an aggregation-based evolutionary algorithm which has been proved extremely efficient and effective for solving multiobjectiveoptimization problems. It is based on the idea of decomposing the original multi-objective problem into several singleobjective subproblems by means of well-defined scalarizing functions.
Zapotecas-Martínez, Saúl +5 more
openaire +2 more sources
Compact silicon photonics circuit to extract multiple parameters for process control monitoring [PDF]
, 2020 We present a compact interferometer circuit to extract multiple model parameters of on-chip waveguides and directional couplers from optical measurements.
Bogaerts, Wim +5 more
core +2 more sources
The importance of landscape features for performance prediction of modular CMA-ES variants [PDF]
Annual Conference on Genetic and Evolutionary Computation, 2022 Selecting the most suitable algorithm and determining its hyperparameters for a given optimization problem is a challenging task. Accurately predicting how well a certain algorithm could solve the problem is hence desirable.
Ana Kostovska +5 more
semanticscholar +1 more source
Wart-Treatment Efficacy Prediction Using a CMA-ES-Based Dendritic Neuron Model
Applied Sciences, 2023 Warts are a prevalent condition worldwide, affecting approximately 10% of the global population. In this study, a machine learning method based on a dendritic neuron model is proposed for wart-treatment efficacy prediction.
Shuangbao Song +4 more
doaj +1 more source
Support Vector Regression-Based Optimization for Triple Friction Pendulum Bearings: Achieving Computational Efficiency [PDF]
Journal of Soft Computing in Civil EngineeringTriple friction pendulum bearings (TFPBs) enhance the seismic resilience of base-isolated buildings. However, optimizing TFPB designs is computationally expensive, necessitating surrogate modeling techniques.
Mahnaz Akbarzaghi +2 more
doaj +1 more source
Materials & Design, 2021 This paper introduces a new objective-driven design method based on deep learning for meta-structure absorber for X-band (8–12 GHz) application. The method consists of three steps; at Step 1, developing a simulator to predict a spectrum of microwave from
Han-Ik On +5 more
doaj +1 more source
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
core +3 more sources
Constrained optimization of a zoom lens with CMA-ES algorithm [PDF]
EPJ Web of ConferencesIn the present paper we investigate how optimization algorithm can be tailored to improve the lens design process. We replaced gradient-based optimization methods by the Covariance Matrix Adaptation Evolution Strategy (CMA-ES).
Marty Tristan +2 more
doaj +1 more source
On-line Search History-assisted Restart Strategy for Covariance Matrix Adaptation Evolution Strategy
, 2019 Restart strategy helps the covariance matrix adaptation evolution strategy (CMA-ES) to increase the probability of finding the global optimum in optimization, while a single run CMA-ES is easy to be trapped in local optima.
Chen, Guanrong +3 more
core +1 more source
Building Simulation Conference Proceedings, 2023 To maximize indoor daylight, design projects commonly use commercial optimization tools to determine optimum window configurations. However, experiments show that such tools either grossly suboptimal or are very slow to compute in certain conditions ...
Manal Anis +3 more
semanticscholar +1 more source