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Journal articles on the topic 'Multi niche crowding'

Author: Grafiati

Published: 3 June 2025

Last updated: 1 August 2025

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1

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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2

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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3

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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4

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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5

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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7

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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8

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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9

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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10

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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11

Malika, Abderrahmane, Rachida, Brahim, and Rachid. "Theoretical study of the potential energy surface of N-formyl-L-cysteine-amide by using a genetic algorithm multi niche crowding." Chemistry International 5, no. 2 (2018): 132–42. https://doi.org/10.5281/zenodo.1482898.

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The generation of molecular structures constituting the conformational space of trans-N-For-L-Cys-NH<sub>2 </sub>was accomplished using the genetic algorithm MNC coupled to the semi-empirical AM1 method, AM1/GA-MNC. The structural and energy analysis of the obtained conformational space E=E(j,ψ) locates 7 regions or minima ɣ<sub>L</sub>, ɣ<sub>D</sub>, b<sub>L</sub>, d<sub>D</sub>, d<sub>L</sub>, ɛ<sub>D </sub>and ɛ<sub>L</sub>. The combination of these folds to structuring modes adopted by the side chain CH<sub>2</sub>-SH has allowed us to identify 27 stable geometric structures. The regi

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12

Zhou, Lan, Xiaoran Huang, Weihuan Wang, et al. "T-ALL Leukemia Cells Instructively Modulate Leukemia Niche To Suppress Normal Hematopoiesis." Blood 122, no. 21 (2013): 1217. http://dx.doi.org/10.1182/blood.v122.21.1217.1217.

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Abstract Introduction Acute leukemias are often associated with the suppression of hematopoiesis. This condition is generally believed to reflect the “crowding-out” effect by the rapidly proliferating leukemia cells. Emerging data, however, has indicated that leukemia cells can instructively modulate the marrow microenvironment that is essential for the maintenance of hematopoietic homeostasis. One of the underlying mechanisms likely implicates leukemia-associated disruption of the marrow stem cell niche; however, the mechanisms by which acute leukemia employs to modulate niche architectural a

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13

Mondal, Nibendu, Subhajit Dutta, Sumit Chatterjee, et al. "Aquificae overcomes competition by archaeal thermophiles, and crowding by bacterial mesophiles, to dominate the boiling vent-water of a Trans-Himalayan sulfur-borax spring." PLOS ONE 19, no. 10 (2024): e0310595. http://dx.doi.org/10.1371/journal.pone.0310595.

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Trans-Himalayan hot spring waters rich in boron, chlorine, sodium and sulfur (but poor in calcium and silicon) are known based on PCR-amplified 16S rRNA gene sequence data to harbor high diversities of infiltrating bacterial mesophiles. Yet, little is known about the community structure and functions, primary productivity, mutual interactions, and thermal adaptations of the microorganisms present in the steaming waters discharged by these geochemically peculiar spring systems. We revealed these aspects of a bacteria-dominated microbiome (microbial cell density ~8.5 × 104 mL-1; live:dead cell r

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14

Z., G. Wang, Rahman M., S. Wong Y., and S. Neo K. "Development of Heterogeneous Parallel Genetic Simulated Annealing Using Multi-Niche Crowding." October 22, 2007. https://doi.org/10.5281/zenodo.1060467.

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In this paper, a new hybrid of genetic algorithm (GA) and simulated annealing (SA), referred to as GSA, is presented. In this algorithm, SA is incorporated into GA to escape from local optima. The concept of hierarchical parallel GA is employed to parallelize GSA for the optimization of multimodal functions. In addition, multi-niche crowding is used to maintain the diversity in the population of the parallel GSA (PGSA). The performance of the proposed algorithms is evaluated against a standard set of multimodal benchmark functions. The multi-niche crowding PGSA and normal PGSA show some remark

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15

Li, Xin, Xiaoli Li, and Kang Wang. "A multi-objective evolutionary algorithm based on niche selection in solving irregular Pareto fronts." Journal of Intelligent & Fuzzy Systems, December 31, 2021, 1–21. http://dx.doi.org/10.3233/jifs-212426.

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The key characteristic of multi-objective evolutionary algorithm is that it can find a good approximate multi-objective optimal solution set when solving multi-objective optimization problems(MOPs). However, most multi-objective evolutionary algorithms perform well on regular multi-objective optimization problems, but their performance on irregular fronts deteriorates. In order to remedy this issue, this paper studies the existing algorithms and proposes a multi-objective evolutionary based on niche selection to deal with irregular Pareto fronts. In this paper, the crowding degree is calculate

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16

Sheng, Weiguo, Shenyong Chen, Mengmeng Sheng, Gang Xiao, Jiafa Mao, and Yujun Zheng. "Adaptive Multi-Subpopulation Competition and Multi-Niche Crowding based Memetic Algorithm for Automatic Data Clustering." IEEE Transactions on Evolutionary Computation, 2016, 1. http://dx.doi.org/10.1109/tevc.2016.2524555.

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17

Kewen, Li, Yu Lei, Chen Qianyi, Lin Xinhao, Ou Shifeng, and Yuan Lyuzerui. "Voltage Regulation for PV-integrated Power Grid using Improved Multi-Objective Particle Swarm Optimization." Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 17 (August 6, 2024). http://dx.doi.org/10.2174/0123520965315165240724062059.

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Introduction: With the widespread integration of distributed photovoltaics into the power grid, challenges such as voltage fluctuations and increased deviations have arisen, alongside heightened demands for power quality and economic dispatch. Method: This study tackles the complexities of integrating distributed photovoltaic systems into the power grid, encompassing network flow variations, node voltage fluctuations, and risks of exceeding limits while also considering scheduling costs. A comprehensive control strategy is proposed, integrating the coordinated output of reactive power adjustab

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