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Relevant bibliographies by topics / Multi niche crowding

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Academic literature on the topic 'Multi niche crowding'

Author: Grafiati

Published: 3 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "Multi niche crowding"

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Lu, Tong Tong, Zheng Liu, Yi Zhang, and Teng Zhan. "Workshop Facility Layout Optimization Based on the Crowding Niche Cellular Genetic Algorithm." Applied Mechanics and Materials 278-280 (January 2013): 2172–76. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.2172.

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Workshop facility layout belongs to a kind of combinational optimization problem, which has the characteristics of nonlinearity and not being easily solved with conventional methods, therefore it is regarded as a typical NP hard problem. This paper proposed a crowding niche cellular genetic algorithm. By introducing niche crowding technology to select the best individuals, the population diversity was well maintained. On the other hand, neighbors in cellular automata were adopted to study more on the cellular topological optimization structure, which enhanced the global searching ability of th

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Cedeño, Walter, and V. Rao Vemuri. "Analysis of speciation and niching in the multi-niche crowding GA." Theoretical Computer Science 229, no. 1-2 (1999): 177–97. http://dx.doi.org/10.1016/s0304-3975(99)00093-6.

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A., EL Guerdaoui, Tijar R., El Merbouh B., et al. "Conformational analysis of diamide system HCO-L-Phenylalanine-NH2 by genetic algorithm." Chemistry International 2, no. 1 (2016): 47–58. https://doi.org/10.5281/zenodo.1470540.

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Present work reports a detailed conformational and energy study of diamide system HCO-L-Phenylalanine-NH2 using genetic algorithm based on multi-Niche crowding technique (MNC) coupled with semi-empirical method AM1. Analysis showed the existence of 28 conformations covering 6 folds among 9 predicted with multi-dimensional conformational analysis MDCA. The relative stabilities are discussed in terms of hydrogen bonding established within the main chains, and various other types of electrostatic interactions between the main chain and the side one.

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El Merbouh, B., and A. El Gridani. "Multi niche crowding genetic algorithm parameter tuning for molecular potential energy surface computation." Journal of Computational Methods in Sciences and Engineering 19, no. 4 (2019): 1127–36. http://dx.doi.org/10.3233/jcm-190026.

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Malika, Bourjila, El Gridani Abderrahmane, Tijar Rachida, El Merbouh Brahim, and Drissi El Bouzaidi Rachid. "Theoretical investigation of Ramachandran plot of N-formyl-L-alanine-amide." Chemistry International 4, no. 4 (2018): 216–20. https://doi.org/10.5281/zenodo.1475389.

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The full conformational space of N-formyl-L-alanine-amide was explored by the semi-empirical method AM1 coupled to the Multi Niche Crowding (MNC) genetic algorithm implemented in a package of programs developed in our laboratory. The structural and energy analysis of the resulting conformational space E(,ψ) exhibits 5 regions or minima ɣL, ɣD, ɛL, D and αD. The technique provides better detection of local and global minima within a reasonable time.

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El Guerdaoui, Anouar, Rachida Tijar, Brahim El Merbouh, Malika Bourjila, Rachid Drissi El Bouzaidi, and Abderrahman El Gridani. "Exploring potential energy surfaces of biological molecules using a Multi-Niche Crowding genetic algorithm." Journal of Computational Methods in Sciences and Engineering 17, no. 3 (2017): 595–609. http://dx.doi.org/10.3233/jcm-170735.

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Matsumoto, Hideyuki, and Kai Tun Lim. "GS-2 Application of Multiple Process Design Solutions Searched by Multi-Niche Crowding Genetic Algorithm." Proceedings of the Industrial, Chemical Machinery & Safety Division Conference 2013.Autumn (2013): 7–8. http://dx.doi.org/10.1299/jsmeicm.2013.autumn.7.

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El Merbouh, B., M. Bourjila, R. Tijar, R. Drissi El Bouzaidi, A. El Gridani, and M. El Mouhtadi. "Conformational space analysis of neutral and protonated glycine using a genetic algorithm for multi-modal search." Journal of Theoretical and Computational Chemistry 13, no. 08 (2014): 1450067. http://dx.doi.org/10.1142/s0219633614500679.

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The genetic algorithm based on the Multi-Niche Crowding (MNC) method is used with the semi-empirical methods AM1 and PM3 in order to scan the potential energy surface (PES) of neutral and protonated glycine. The algorithm is implemented as a package of programs interfaced with MOPAC and piloted by scripts. Both methods AM1 and PM3 located six minima on the PES of neutral glycine and seven on the protonated glycine one, of which three are those of the N -protonated form and four of the O -protonated one.

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R., Tijar, El Merbouh B., Bourjila M., et al. "Conformational space analysis of neutral and deprotonated forms of benzoic acid, salicylic acid and phthalic acid using a genetic algorithm." Chemistry International 2, no. 4 (2016): 201–21. https://doi.org/10.5281/zenodo.1471383.

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In this paper we present a detailed conformational study of three aromatic systems constituting the basic units of humic acids namely benzoic acid, salicylic acid and phthalic acid. The genetic algorithm, based on the multi-niche crowding (MNC) method, coupled with the semi-empirical AM1 method is used to analyze the potential energy surface (PES) of these systems. This algorithm, implemented in the MOPAC program and piloted by scripts, provides better detection of global and local minima in a reasonable time. The results obtained are comparable with those of previous studies. Three factors ca

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M., Bourjila, El Merbouh B., Tijar R., et al. "Polyalanine gas phase acidities determination and conformational space analysis by genetic algorithm assessment." Chemistry International 2, no. 3 (2016): 145–57. https://doi.org/10.5281/zenodo.1470690.

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The genetic algorithm, based on the Multi-Niche Crowding (MNC) method, coupled with the semi-empirical AM1 method is used to analyze the potential energy surface of some polypeptides containing cysteine. Calculating the formation energies of these systems in both neutral and deprotonated states, we deducted their enthalpy of deprotonation (ΔHacid) and we identified the types of rearrangement of these systems when isolated. Deprotonation occurs at the level of the alone acid site characterizing these peptides namely the thiol. The values obtained for the deprotonation enthalpies of polype

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Book chapters on the topic "Multi niche crowding"

1

Vemuri, V. Rao, and Walter Cedeño. "Multi-Niche Crowding for Multi-Modal Search." In Practical Handbook of Genetic Algorithms. CRC Press, 2019. http://dx.doi.org/10.1201/9780429128332-1.

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Chen Chiu-Hung, Huang Zheng-Wei, Liu Tung-Kuan, and Chou Jyh-Horng. "Evolutionary Optimization on the Multiple Point Manufacturing Problems of Multi-DOF Robots." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2015. https://doi.org/10.3233/978-1-61499-522-7-277.

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Multiple point manufacturing problems of multi-DOF robots involve a series of inverse solutions to be solved in the joint space. Along with the increment of the manufacturing points, the inverse problem becomes more complex. In particular, the convergence is poor if all the joint variables locating the vast manufacturing points are directly encoded in the evolutionary optimization method. Therefore, partial optimization methods combined with a specific solution flow are proposed for the solver in the paper. Because of the multimodal characteristics, this paper uses a niche method, the Twin-spa

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Liu, Renyun, Ruihong Wang, Yifei Yao, and Fanhua Yu. "A Multimodal Multi-Objective Evolutionary Particle Swarm Algorithm Based on Grey Prediction Selection Strategy." In Fuzzy Systems and Data Mining IX. IOS Press, 2023. http://dx.doi.org/10.3233/faia231032.

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In view of the fact that the diversity of the objective space of multimodal multi-objective optimization will decrease with the increase of the diversity of the decision space, and it is unable to identify all pareto optimal solution sets, this paper proposes an evolutionary particle swarm optimization algorithm based on the gray prediction selection strategy to solve this problem. First, the historical optimal individuals and the neighborhood optimal individuals are selected by using multivariable gray prediction to improve the diversity of the target space; Secondly, the index based ring top

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Conference papers on the topic "Multi niche crowding"

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Breaban, Mihaela Elena, and Henri Luchian. "Unsupervised feature weighting with multi niche crowding genetic algorithms." In the 11th Annual conference. ACM Press, 2009. http://dx.doi.org/10.1145/1569901.1570058.

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Wang, Zhi-Gang, M. Rahman, and Yoke-San Wong. "Multi-niche crowding in the development of parallel genetic simulated annealing." In the 2005 conference. ACM Press, 2005. http://dx.doi.org/10.1145/1068009.1068256.

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Reports on the topic "Multi niche crowding"

1

Cedeno, Walter. The multi-niche crowding genetic algorithm: Analysis and applications. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/197798.

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