Results 51 to 60 of about 46,799 (193)
Adaptive Grid Archiving Combined with the Covariance Matrix Adaptation Evolution Strategy. [PDF]
Rostami, Shahin, Shenfield, A.
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Layout Optimisation of Wave Energy Converter Arrays
Energies, 2017 This paper proposes an optimisation strategy for the layout design of wave energy converter (WEC) arrays. Optimal layouts are sought so as to maximise the absorbed power given a minimum q-factor, the minimum distance between WECs, and an area of ...
Pau Mercadé Ruiz +5 more
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Single-Parameter-Tuned Attitude Control for Quadrotor with Unknown Disturbance
Applied Sciences, 2020 In this paper, methods are presented for designing a quadrotor attitude control system with disturbance rejection ability, wherein only one parameter needs to be tuned for each axis.
Dada Hu, Zhongcai Pei, Zhiyong Tang
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Covariance Matrix Adaptation Evolution Strategy Assisted by Principal Component Analysis
, 2021 Over the past decades, more and more methods gain a giant development due to the development of technology. Evolutionary Algorithms are widely used as a heuristic method. However, the budget of computation increases exponentially when the dimensions increase.
Mei, Yangjie, Wang, Hao
openaire +2 more sources
A Computationally Efficient Limited Memory CMA-ES for Large Scale Optimization
, 2014 We propose a computationally efficient limited memory Covariance Matrix Adaptation Evolution Strategy for large scale optimization, which we call the LM-CMA-ES.
Hansen N. +3 more
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Multi-objective topology design optimization combined with robust optimization
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2023 Topology optimization (TO), which is a design optimization technique that does not require design parameters, has been attracting attention. TO has a high degree of freedom and can obtain a novel design shape suitable for desired purposes.
Akito MARUO +4 more
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Accelerating evolutionary algorithms by means of Gaussian processes [PDF]
, 2015 Tato práce zkoumá výkon gaussovských procesů (GP) v souvislosti s metodou zvanou Covariance Matrix Adaptation Evolution Strategy (CMA-ES), state-of-the-art v oblasti evoluční optimalizace.
Kudinov Andrej
core
Alternative Restart Strategies for CMA-ES [PDF]
, 2012 This paper focuses on the restart strategy of CMA-ES on multi-modal functions. A first alternative strategy proceeds by decreasing the initial step-size of the mutation while doubling the population size at each restart.
N. Hansen +3 more
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IEEE Access, 2019 Distributed cooperative co-evolution (DCC) is an effective way to solve large-scale optimization problems. The cooperative co-evolution methodology can reduce the optimizing complexity by dividing a large-scale problem into small subcomponents, and ...
Ya-Hui Jia +5 more
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Black-box optimization benchmarking of IPOP-saACM-ES on the BBOB-2012 noisy testbed [PDF]
, 2012 In this paper, we study the performance of IPOP-saACM-ES, recently proposed self-adaptive surrogate-assisted Covariance Matrix Adaptation Evolution Strategy.
Loshchilov, Ilya +2 more
core +4 more sources