Results 21 to 30 of about 5,527,579 (363)
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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IGD Indicator-Based Evolutionary Algorithm for Many-Objective Optimization Problems [PDF]
IEEE Transactions on Evolutionary Computation, 2018 Inverted generational distance (IGD) has been widely considered as a reliable performance indicator to concurrently quantify the convergence and diversity of multiobjective and many-objective evolutionary algorithms. In this paper, an IGD indicator-based
Y. Sun, G. Yen, Zhang Yi
semanticscholar +1 more source
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
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A Multiclustering Evolutionary Hyperrectangle-Based Algorithm
International Journal of Computational Intelligence Systems, 2023 Clustering is a grouping technique that has long been used to relate data homogeneously. With the huge growth of complex datasets from different sources in the last decade, new paradigms have emerged.
Luis Alfonso Pérez Martos +3 more
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The evolutionary forest algorithm [PDF]
Bioinformatics, 2007 AbstractMotivation: Gene genealogies offer a powerful context for inferences about the evolutionary process based on presently segregating DNA variation. In many cases, it is the distribution of population parameters, marginalized over the effectively infinite-dimensional tree space, that is of interest.
Leman, Scotland C +3 more
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Hybrid evolutionary optimization algorithm MPSO-SA [PDF]
International Journal for Simulation and Multidisciplinary Design Optimization, 2010 This paper proposes a new method for a modified particle swarm optimization algorithm (MPSO) combined with a simulated annealing algorithm (SA). MPSO is known as an efficient approach with a high performance of solving optimization problems in many ...
El Hami N., Ellaia R., Itmi M.
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Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem
Applications of Modelling and Simulation, 2023 The evolutionary algorithm has been extensively used to solve a range of combinatorial optimization problems. The adaptability of evolutionary algorithm mechanisms provides diverse approaches to handle combinatorial optimization challenges.
Anniza Hamdan +4 more
doaj
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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A new evolutionary algorithm: Learner performance based behavior algorithm
Egyptian Informatics Journal, 2021 A novel evolutionary algorithm called learner performance based behavior algorithm (LPB) is proposed in this article. The basic inspiration of LPB originates from the process of accepting graduated learners from high school in different departments at ...
Chnoor M. Rahman, Tarik A. Rashid
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