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Memetic Algorithms with Local Search Chains in R: The Rmalschains Package
Journal of Statistical Software, 2016 Global optimization is an important field of research both in mathematics and computer sciences. It has applications in nearly all fields of modern science and engineering.
Christoph Bergmeir +2 more
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A memetic algorithm for the university course timetabling problem [PDF]
, 2008 This article is posted here with permission from IEEE - Copyright @ 2008 IEEEThe design of course timetables for academic institutions is a very hectic job due to the exponential number of possible feasible timetables with respect to the problem size ...
Jat, SN, Yang, S
core +2 more sources
Parameter Optimization of Single-Diode Model of Photovoltaic Cell Using Memetic Algorithm
International Journal of Photoenergy, 2015 This study proposes a memetic approach for optimally determining the parameter values of single-diode-equivalent solar cell model. The memetic algorithm, which combines metaheuristic and gradient-based techniques, has the merit of good performance in ...
Yourim Yoon, Zong Woo Geem
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Mathematics, 2022 We propose a memetic algorithm for the multiple-choice multidimensional knapsack problem (MMKP). In this study, we focus on finding good solutions for the MMKP instances, for which feasible solutions rarely exist.
Jaeyoung Yang +2 more
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MEMOTS : a memetic algorithm integrating tabu search for combinatorial multiobjective optimization [PDF]
, 2008 We present in this paper a new multiobjective memetic algorithm scheme called MEMOX. In current multiobjective memetic algorithms, the parents used for recombination are randomly selected.
Lust, Thibaut, Teghem, Jacques
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A Memetic Fingerprint Matching Algorithm [PDF]
IEEE Transactions on Information Forensics and Security, 2007 Minutiae point pattern matching is the most common approach for fingerprint verification. Although many minutiae point pattern matching algorithms have been proposed, reliable automatic fingerprint verification remains as a challenging problem, both with respect to recovering the optimal alignment and the construction of an adequate matching function ...
Sheng, Weiguo +3 more
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Improved Predictive Ability of KPLS Regression with Memetic Algorithms
Mathematics, 2021 Kernel partial least squares regression (KPLS) is a non-linear method for predicting one or more dependent variables from a set of predictors, which transforms the original datasets into a feature space where it is possible to generate a linear model and
Jorge Daniel Mello-Román +2 more
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A niching memetic algorithm for simultaneous clustering and feature selection [PDF]
, 2008 Clustering is inherently a difficult task, and is made even more difficult when the selection of relevant features is also an issue. In this paper we propose an approach for simultaneous clustering and feature selection using a niching memetic algorithm.
Fairhurst, M, Liu, X, Sheng, W
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Meta-heuristic algorithms in car engine design: a literature survey [PDF]
, 2015 Meta-heuristic algorithms are often inspired by natural phenomena, including the evolution of species in Darwinian natural selection theory, ant behaviors in biology, flock behaviors of some birds, and annealing in metallurgy.
Tayarani-N, Mohammad-H. +2 more
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A Memetic Algorithm for an External Depot Production Routing Problem
Algorithms, 2021 This study aims to compare the results of a memetic algorithm with those of the two-phase decomposition heuristic on the external depot production routing problem in a supply chain.
Bi Kouaï Bertin Kayé +3 more
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