Results 21 to 30 of about 17,365 (211)
New Evolutionary-Based Techniques for Image Registration
Applied Sciences, 2019 The work reported in this paper aims at the development of evolutionary algorithms to register images for signature recognition purposes. We propose and develop several registration methods in order to obtain accurate and fast algorithms.
Catalina-Lucia Cocianu, Alexandru Stan
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Efficient natural evolution strategies [PDF]
Proceedings of the 11th Annual conference on Genetic and evolutionary computation, 2009 Efficient Natural Evolution Strategies (eNES) is a novel alternative to conventional evolutionary algorithms, using the natural gradient to adapt the mutation distribution. Unlike previous methods based on natural gradients, eNES uses a fast algorithm to calculate the inverse of the exact Fisher information matrix, thus increasing both robustness and ...
Yi Sun 0003 +3 more
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Memory-Based Evolutionary Algorithms for Nonlinear and Stochastic Programming Problems
Mathematics, 2019 In this paper, we target the problems of finding a global minimum of nonlinear and stochastic programming problems. To solve this type of problem, we propose new approaches based on combining direct search methods with Evolution Strategies (ESs) and ...
Abdel-Rahman Hedar +2 more
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Optimum Tracking with Evolution Strategies [PDF]
Evolutionary Computation, 2006 Evolutionary algorithms are frequently applied to dynamic optimization problems in which the objective varies with time. It is desirable to gain an improved understanding of the influence of different genetic operators and of the parameters of a strategy on its tracking performance.
Dirk V. Arnold, Hans-Georg Beyer
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The Hessian Estimation Evolution Strategy [PDF]
, 2020 We present a novel black box optimization algorithm called Hessian Estimation Evolution Strategy. The algorithm updates the covariance matrix of its sampling distribution by directly estimating the curvature of the objective function. This algorithm design is targeted at twice continuously differentiable problems.
Tobias Glasmachers, Oswin Krause
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Sensors, 2018 The emerging fog computing technology is characterized by an ultralow latency response, which benefits a massive number of time-sensitive services and applications in the Internet of things (IoT) era.
Long Mai, Nhu-Ngoc Dao, Minho Park
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Exponential natural evolution strategies [PDF]
Proceedings of the 12th annual conference on Genetic and evolutionary computation, 2010 The family of natural evolution strategies (NES) offers a principled approach to real-valued evolutionary optimization by following the natural gradient of the expected fitness. Like the well-known CMA-ES, the most competitive algorithm in the field, NES comes with important invariance properties.
Glasmachers, Tobias +4 more
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Real-Time Policy Optimization for UAV Swarms Based on Evolution Strategies
DronesMulti-agent decision-making faces many challenges such as non-stationarity and sparse rewards, while the complexity and randomness of the real environment further complicate policy development.
Zeyu Chen, Haiying Liu, Guohua Liu
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EURASIP Journal on Advances in Signal Processing, 2003 This paper describes the application of evolution strategies to the design of interacting multiple model (IMM) tracking filters in order to fulfill a large table of performance specifications.
Portas Juan A Besada +5 more
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Multi-strategy Differential Evolution [PDF]
, 2018 We propose the Multi-strategy Differential Evolution (MsDE) algorithm to construct and maintain a self-adaptive ensemble of search strategies while solving an optimization problem. The ensemble of strategies is represented as agents that interact with the candidate solutions to improve their fitness.
Anil Yaman +4 more
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