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CoRR, 2015 Outline of lectures course "Evolutionary Algorithms" (in Russian)
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Parallelism and evolutionary algorithms [PDF]
IEEE Transactions on Evolutionary Computation, 2002 This paper contains a modern vision of the parallelization techniques used for evolutionary algorithms (EAs). The work is motivated by two fundamental facts: 1) the different families of EAs have naturally converged in the last decade while parallel EAs (PEAs) are still lack of unified studies; and 2) there is a large number of improvements in these ...
Enrique Alba 0001, Marco Tomassini
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Applied Sciences, 2018 The friction interference in the pneumatic rotary actuator is the primary factor affecting the position accuracy of a pneumatic rotary actuator servo system.
Ke Li +3 more
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Decomposition-Based Multi-Objective Evolutionary Algorithm Design Under Two Algorithm Frameworks
IEEE Access, 2020 The development of efficient and effective evolutionary multi-objective optimization (EMO) algorithms has been an active research topic in the evolutionary computation community. Over the years, many EMO algorithms have been proposed.
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
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Improved MOEA/D Algorithm Based on Adaptive Neighborhood Strategy [PDF]
Jisuanji gongcheng, 2019 Traditional Multi-objective Evolutionary Algorithm based on Decomposition(MOEA/D)uses the fixed neighborhood scale,which reduces the population evolution efficiency.To solve this problem,an improved algorithm based on the Adaptive Neighborhood Strategy ...
GENG Huantong,HAN Weimin,DING Yangyang,ZHOU Shansheng
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A New DG Multiobjective Optimization Method Based on an Improved Evolutionary Algorithm
Journal of Applied Mathematics, 2013 A distribution generation (DG) multiobjective optimization method based on an improved Pareto evolutionary algorithm is investigated in this paper. The improved Pareto evolutionary algorithm, which introduces a penalty factor in the objective function ...
Wanxing Sheng +4 more
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Evolutionary Demographic Algorithms
CoRR, 2016 4 pages and 6 ...
Marco A. R. Erra +2 more
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Evaluating evolutionary algorithms
Artificial Intelligence, 1996 AbstractTest functions are commonly used to evaluate the effectiveness of different search algorithms. However, the results of evaluation are as dependent on the test problems as they are on the algorithms that are the subject of comparison. Unfortunately, developing a test suite for evaluating competing search algorithms is difficult without clearly ...
L. Darrell Whitley +3 more
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AIAccurately forecasting power consumption is crucial important for efficient energy management. Machine learning (ML) models are often employed for this purpose. However, tuning their hyperparameters is a complex and time-consuming task.
Aleksei Vakhnin +3 more
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Image Noise Elimination Using Evolutionary Algorithm [PDF]
Engineering and Technology Journal, 2005 Evolutionary algorithms like Genetic Algorithms ( GA ) and Genetic programming ( GP ) are domain - independent problem solving approaches in which computer programs are evolved to solve , or approximately solve , problems .
Matheel Abdulmunim
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