Results 21 to 30 of about 786,097 (340)
Evolutionary algorithm design based on evolutionary efficiency factor
Journal of Hebei University of Science and Technology, 2018 With the development of electronic chip technology, circuit systems become gradually high integrated and intelligent. Under the interface of complex electromagnetic field environment, the requirements for the stability and reliability of information ...
Huicong WU, Jie YU
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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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An efficient optimizer for the 0/1 knapsack problem using group counseling [PDF]
PeerJ Computer Science, 2023 The field of optimization is concerned with determining the optimal solution to a problem. It refers to the mathematical loss or gain of a given objective function.
Yazeed Yasin Ghadi +6 more
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Evolving temporal fuzzy association rules from quantitative data with a multi-objective evolutionary algorithm [PDF]
, 2011 A novel method for mining association rules that are both quantitative and temporal using a multi-objective evolutionary algorithm is presented. This method successfully identifies numerous temporal association rules that occur more frequently in areas ...
C. Carmona +8 more
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Hybridization of Evolutionary Algorithms [PDF]
, 2011 Evolutionary algorithms are good general problem solver but suffer from a lack of domain specific knowledge. However, the problem specific knowledge can be added to evolutionary algorithms by hybridizing. Interestingly, all the elements of the evolutionary algorithms can be hybridized.
Fister, Iztok +2 more
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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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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 Multi-Objective Planning Framework for Optimal Integration of Distributed Generations [PDF]
, 2013 This paper presents an evolutionary algorithm for analyzing the best mix of distributed generations (DG) in a distribution network. The multi-objective optimization aims at minimizing the total cost of real power generation, line losses and CO2 emissions,
Howe, Joe +2 more
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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
wiley +1 more source