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International Journal of Distributed Sensor Networks, 2022 The Fruit Fly Optimization Algorithm is a swarm intelligence algorithm with strong versatility and high computational efficiency. However, when faced with complex multi-peak problems, Fruit Fly Optimization Algorithm tends to converge prematurely.
Ru-Yu Wang +3 more
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Performance Comparison Of Evolutionary Algorithms For Image Clustering [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 Evolutionary computation tools are able to process real valued numerical sets in order to extract suboptimal solution of designed problem. Data clustering algorithms have been intensively used for image segmentation in remote sensing applications ...
P. Civicioglu +5 more
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Vetor, 2023 A Multiobjective Optimization Problem (MOP) requires the optimization of several objective functions simultaneously, usually in conflict with each other.
André O. Martins +3 more
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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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METHOD OF ARTIFICIAL FITNESS LEVELS FOR DYNAMICS ANALYSIS OF EVOLUTIONARY ALGORITHMS [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2020 Subject of Research. Currently, in the theory of evolutionary computation, it becomes relevant to analyze not just the runtime of evolutionary algorithms, but also their dynamics.
Maxim V. Buzdalov, Dmitry V. Vinokurov
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Evolving temporal fuzzy itemsets from quantitative data with a multi-objective evolutionary algorithm [PDF]
, 2011 We present a novel method for mining itemsets that are both quantitative and temporal, for association rule mining, using multi-objective evolutionary search and optimisation.
Gongora, Mario A. +9 more
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Analysis of Ausubel auctions by means of evolutionary computation [PDF]
, 2005 IEEE Congress on Evolutionary Computation. Edimburgo, 2-5 September 2005The increasing use of auctions has led to a growing interest in the subject.
Sáez, Yago +6 more
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ETEA: A euclidean minimum spanning tree-Based evolutionary algorithm for multiobjective optimization [PDF]
, 2013 © the Massachusetts Institute of TechnologyAbstract The Euclidean minimum spanning tree (EMST), widely used in a variety of domains, is a minimum spanning tree of a set of points in the space, where the edge weight between each pair of points is their ...
Yang, S +8 more
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Ameliorated Ensemble Strategy-Based Evolutionary Algorithm with Dynamic Resources Allocations
International Journal of Computational Intelligence Systems, 2020 In the last two decades, evolutionary computing has become the mainstream to attract the attention of the experts in both academia and industrial applications due to the advent of the fast computer with multi-core GHz processors have had a capacity of ...
Wali Khan Mashwani +3 more
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An Experimental Study on Competitive Coevolution of MLP Classifiers
Mendel, 2017 This paper investigates the effectiveness and efficiency of two competitive (predator-prey) evolutionary procedures for training multi-layer perceptron classifiers: Co-Adaptive Neural Network Training, and a modified version of Co-Evolutionary Neural ...
Marco Castellani, Rahul Lalchandani
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