Results 1 to 10 of about 115,851 (87)

Constructing Artificial Features with Grammatical Evolution for the Motor Symptoms of Parkinson’s Disease [PDF]

Bioengineering
People with Parkinson’s disease often show changes in their movement abilities during the day, especially around the time they take medication. Being able to record these variations in an objective way can help doctors adapt treatment and follow disease ...
Aimilios Psathas, Ioannis G. Tsoulos, Nikolaos Giannakeas, Alexandros Tzallas, Vasileios Charilogis   +4 more
doaj   +2 more sources

Explainable Internet Traffic Classification

Applied Sciences, 2021
The problem analyzed in this paper deals with the classification of Internet traffic. During the last years, this problem has experienced a new hype, as classification of Internet traffic has become essential to perform advanced network management.
Christian Callegari, Pietro Ducange, Michela Fazzolari, Massimo Vecchio   +3 more
doaj   +1 more source

5G Multi-Slices Bi-Level Resource Allocation by Reinforcement Learning

Mathematics, 2023
As the centralized unit (CU)—distributed unit (DU) separation in the fifth generation mobile network (5G), the multi-slice and multi-scenario, can be better applied in wireless communication. The development of the 5G network to vertical industries makes
Zhipeng Yu, Fangqing Gu, Hailin Liu, Yutao Lai   +3 more
doaj   +1 more source

Large-Scale Multi-Objective Imaging Satellite Task Planning Algorithm for Vast Area Mapping

Remote Sensing, 2023
With satellite quantity and quality development in recent years, remote sensing products in vast areas are becoming widely used in more and more fields.
Yaxin Chen, Xin Shen, Guo Zhang, Zezhong Lu   +3 more
doaj   +1 more source

An enhanced artificial neural network with a shuffled complex evolutionary global optimization with principal component analysis [PDF]

, 2017
The classical Back-Propagation (BP) scheme with gradient-based optimization in training Artificial Neural Networks (ANNs) suffers from many drawbacks, such as the premature convergence, and the tendency of being trapped in local optimums.
Asanjan, AA, Faridzad, M, Gao, X, Hayatbini, N, Sorooshian, S, Yang, T   +5 more
core   +1 more source

Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs) [PDF]

, 2020
Recently, increasing works have proposed to drive evolutionary algorithms using machine learning models. Usually, the performance of such model based evolutionary algorithms is highly dependent on the training qualities of the adopted models.
Cheng, Ran, He, Cheng, Huang, Shihua, Jin, Yaochu, Tan, Kay Chen   +4 more
core   +3 more sources

A Double Learning Models-Based Multi-Objective Estimation of Distribution Algorithm

IEEE Access, 2019
The recently developed regularity model-based multi-objective estimation of distribution algorithm (RM-MEDA) and inverse models-based multi-objective evolutionary algorithm (IM-MOEA) have been shown to be two effective methods for solving some complex ...
Yanyan Lin, Han Liu, Qiaoyong Jiang
doaj   +1 more source

CAutoCSD-evolutionary search and optimisation enabled computer automated control system design [PDF]

, 2004
This paper attempts to set a unified scene for various linear time-invariant (LTI) control system design schemes, by transforming the existing concept of 'Computer-Aided Control System Design' (CACSD) to the novel 'Computer-Automated Control System ...
D. Graham, Gregory C. Y. Chong, H. Kashiwagi, Hiroshi Kashiwagi, J. C. Doyle, K. C. Tan, Kay Chen Tan, Kiam Heong Ang, M. Chowdhury, Wenyuan Feng, Y. Li, Yun Li   +11 more
core   +1 more source

Embodied Evolution in Collective Robotics: A Review [PDF]

, 2018
This paper provides an overview of evolutionary robotics techniques applied to on-line distributed evolution for robot collectives -- namely, embodied evolution.
Alba, Alba, Amato, Anderson, Aplin, Arthur, Axelrod, Bangel, Barrett, Bayindir, Bedau, Bellingham, Beni, Bentham, Bernard, Bernstein, Bianco, Blount, Bongard, Bongard, Boumaza, Brambilla, Bredeche, Bredeche, Bredeche, Bredeche, Bredeche, Brodbeck, Camazine, Charlesworth, Christensen, Cully, Deutsch, Dibangoye, Doncieux, Eiben, Eiben, Eiben, Eiben, Fernandez Pérez, Fernandez Pérez, Fernandez Pérez, Ferrante, Ficici, Floreano, García-Sánchez, Gauci, Geritz, Good, Haasdijk, Haasdijk, Haasdijk, Haasdijk, Haasdijk, Haasdijk, Haasdijk, Hardin, Hart, Hauert, Heinerman, Heinerman, Hettiarachchi, Hettiarachchi, Huijsman, Jakobi, Karafotias, Kemeling, König, König, Lehman, Long, Maynard Smith, Mitri, Montanier, Montanier, Montanier, Moor, Mouret, Mouret, Nelson, Nolfi, Nordin, Noskov, Nouyan, O’Dowd, Parker, Perez, Pfeifer, Prieto, Prieto, Prieto, Prieto, Pugh, Ray, Rubenstein, Schut, Schwarzer, Schwarzer, Shapley, Silva, Silva, Silva, Silva, Silva, Simões, Soros, Stanley, Steyven, Stone, Stone, Stone, Taylor, Thrun, Tonelli, Trianni, Trueba, Trueba, Trueba, Trueba, Urzelai, Usui, Vanderelst, Waibel, Wakeley, Walker, Watson, Weel, Weel, Werfel, West, Wischmann, Wiser, Wolpert   +132 more
core   +6 more sources

An immune algorithm based fuzzy predictive modeling mechanism using variable length coding and multi-objective optimization allied to engineering materials processing [PDF]

, 2008
In this paper, a systematic multi-objective fuzzy modeling approach is proposed, which can be regarded as a three-stage modeling procedure. In the first stage, an evolutionary based clustering algorithm is developed to extract an initial fuzzy rule ...
Chen, Jun, Mahfouf, M.
core   +1 more source