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A hybrid genetic algorithm and inver over approach for the travelling salesman problem [PDF]
, 2010 This article posted here with permission of the IEEE - Copyright @ 2010 IEEEThis paper proposes a two-phase hybrid approach for the travelling salesman problem (TSP).
Yang, S +5 more
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IEEE AccessIn environments rich in data, machine learning models often encounter challenges such as data sparsity and overfitting, primarily due to datasets with an excessive number of features.
Keerthi Gabbi Reddy, Deepasikha Mishra
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ADAPTIVE MULTI-OBJECTIVE SUB-PIXEL MAPPING FRAMEWORK BASED ON MEMETIC ALGORITHM FOR HYPERSPECTRAL REMOTE SENSING IMAGERY [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Sub-pixel mapping technique can specify the location of each class within the pixels based on the assumption of spatial dependence. Traditional sub-pixel mapping algorithms only consider the spatial dependence at the pixel level.
Y. Zhong, L. Zhang
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Memetic Strategy of Particle Swarm Optimization for One-Dimensional Magnetotelluric Inversions
Mathematics, 2021 The heuristic algorithm represented by particle swarm optimization (PSO) is an effective tool for addressing serious nonlinearity in one-dimensional magnetotelluric (MT) inversions. PSO has the shortcomings of insufficient population diversity and a lack
Ruiheng Li +6 more
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SOLVING TWO-CLASS CLASSIFICATION PROBLEM USING MEMETIC PROGRAMMING [PDF]
Assiut University Journal of Multidisciplinary Scientific Research, 2019 The main target of the two-class classification problem is to design a classifier that discriminates between two objects from a seen dataset, then use this classifier to predict the object’s class for unseen instances. Different methods have been used to
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A Modified Shuffled Frog Leaping Algorithm for the Topology Optimization of Electromagnet Devices
Applied Sciences, 2020 The memetic algorithms which employ population information spreading mechanism have shown great potentials in solving complex three-dimensional black-box problems.
Wenjia Yang, Siu Lau Ho, Weinong Fu
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Optimal Scheduling of Highway Service Area PV-Wind-BESS Based on Hybrid Genetic Algorithm
International Journal of Computational Intelligence SystemsThe rapid growing electric vehicle (EV) charging load in highway service areas bringing pressure to the power grid. To solve this problem, this paper proposes a joint optimization and scheduling method that combines energy of photovoltaic (PV) power ...
Zihong Song +7 more
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An Efficient Memetic Algorithm for the Minimum Load Coloring Problem
Mathematics, 2019 Given a graph G with n vertices and l edges, the load distribution of a coloring q: V → {red, blue} is defined as dq = (rq, bq), in which rq is the number of edges with at least one end-vertex colored red and bq is the number of edges with at least
Zhiqiang Zhang +3 more
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A Memetic Algorithm for Community Detection in Bipartite Networks
IEEE Access, 2019 Bipartite networks belong to the category of complex networks, whose vertices can be divided into two separated vertex sets, so that there are no edges between vertices in the same set, and edges only exist between vertices in different sets. In the past
Shiwei Che, Wu Yang, Wei Wang
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, 2018 <p>This data repository includes the input and output for the results presented in K.Y. Spencer, P.V. Tsvetkov, and J.J. Jarrell, "A Greedy Memetic Algorithm for a Multiobjective Dynamic Bin Packing Problem for Storing Cooling Objects," Journal of ...
Kristy Yancey Spencer
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