A sequential niching memetic algorithm for continuous multimodal function optimization

Vitela, Javier E.; Castaños, Octavio

doi:10.1016/j.amc.2011.05.051

Cited by 17 publications

(13 citation statements)

References 22 publications

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“…The structure ɣL[g+g+] is the most stable found along the surface conformation of N-For-L-Cys-NH2 .According to our knowledge, a conformational and electronic study of energetically favored conformations of N-For-L-Cys-NH2diamide at HF/3-21G and B3LYP/6-31G(d,p) (Zamora et al, 2002), shows that the most stable structure (global minimum) of this system adopts the structure ɣL [g+g+].in this work we found the same result with our technical computing AM1/GA-MNC. Results revealed that this techniques is useful for the generation of molecular structures constituting the conformational space of protein and could possibly be extended for the determination of molecular structures of other related molecules (Bora et al, 2019;Custódio et al, 2014;Daeyaert et al, 2005;Fu et al, 2018;Kaur and Kadam, 2018;Lucasius and Kateman, 1994;Luke, 1996;Song et al, 2018;Tian et al, 2018;Vitela and Castaños, 2012).…”

Section: The L Backbone Conformationmentioning

confidence: 99%

Theoretical study of the potential energy surface of N-formyl-L-cysteine-amide by using a genetic algorithm multi niche crowding

Int¹

2019

Preprint

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The generation of molecular structures constituting the conformational space of trans-N-For-L-Cys-NH2 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(,ψ) locates 7 regions or minima ɣL, ɣD, L, D, L, ɛD and ɛL. The combination of these folds to structuring modes adopted by the side chain CH2-SH has allowed us to identify 27 stable geometric structures. The regions corresponding to helical folds αD and αL are not favorable for the system that is the subject of current study.Capsule Summary: Molecular structure of trans-N-For-L-Cys-NH2 was studied using the genetic algorithm MNC coupled to the semi-empirical AM1 method, AM1/GA-MNC and combination of the folds to structuring modes adopted by the side chain CH2-SH revealed the possibility of 27 stable geometric structures of N-For-L-Cys-NH2. Cite This Article As:

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Section: The L Backbone Conformationmentioning

confidence: 99%

Theoretical study of the potential energy surface of N-formyl-L-cysteine-amide by using a genetic algorithm multi niche crowding

Int¹

2019

Preprint

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show abstract

“…The structure ɣL[g+g+] is the most stable found along the surface conformation of N-For-L-Cys-NH2 .According to our knowledge, a conformational and electronic study of energetically favored conformations of N-For-L-Cys-NH2diamide at HF/3-21G and B3LYP/6-31G(d,p) (Zamora et al, 2002), shows that the most stable structure (global minimum) of this system adopts the structure ɣL [g+g+].in this work we found the same result with our technical computing AM1/GA-MNC. Results Table 4: Energies deviations from the global minimum and angles characterizing the minimum ɛL of N-For-L-Cys-NH2, AM1/GA-MNC Backbone [sidechain] ΔΔHf (kcal/mol) φ(°) ψ(°) χ1(°) χ2(°) ɛL [g-g+] 3. revealed that this techniques is useful for the generation of molecular structures constituting the conformational space of protein and could possibly be extended for the determination of molecular structures of other related molecules (Bora et al, 2019;Custódio et al, 2014;Daeyaert et al, 2005;Fu et al, 2018;Kaur and Kadam, 2018;Lucasius and Kateman, 1994;Luke, 1996;Song et al, 2018;Tian et al, 2018;Vitela and Castaños, 2012).…”

Section: The L Backbone Conformationmentioning

confidence: 99%

Theoretical study of the potential energy surface of N-formyl-L-cysteine-amide by using a genetic algorithm multi niche crowding

Int¹,

Bourjila²

2019

Preprint

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“…Vitela and Castanos proposed a sequential niching algorithm for MMO. They combined hill-climbing, a derating function, niching and clearing techniques within a GA for a multiple optima search [9]. In the literature [10][11][12], authors discussed a clustering genetic algorithm based on dynamic niching with niche migration.…”

Section: Related Workmentioning

confidence: 99%

“…The basic principle of BST is to keep a balance between random and guided search, as shown in Equations (9).…”

Section: Formulating the Balanced Searchmentioning

confidence: 99%

Bees Algorithm for multimodal function optimisation

Zhou

Xie

Pham

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part C:

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The aim of multimodal optimisation is to find significant optima of a multimodal objective function including its global optimum. Many real-world applications are multimodal optimisation problems requiring multiple optimal solutions. The Bees Algorithm is a global optimisation procedure inspired by the foraging behaviour of honeybees. In this paper, several procedures are introduced to enhance the algorithm’s capability to find multiple optima in multimodal optimisation problems. In the proposed Bees Algorithm for multimodal optimisation, dynamic colony size is permitted to automatically adapt the search effort to different objective functions. A local search approach called balanced search technique is also proposed to speed up the algorithm. In addition, two procedures of radius estimation and optima elitism are added, to respectively enhance the Bees Algorithm’s ability to locate unevenly distributed optima, and eliminate insignificant local optima. The performance of the modified Bees Algorithm is evaluated on well-known benchmark problems, and the results are compared with those obtained by several other state-of-the-art algorithms. The results indicate that the proposed algorithm inherits excellent properties from the standard Bees Algorithm, obtaining notable efficiency for solving multimodal optimisation problems due to the introduced modifications.

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A sequential niching memetic algorithm for continuous multimodal function optimization

Cited by 17 publications

References 22 publications

Theoretical study of the potential energy surface of N-formyl-L-cysteine-amide by using a genetic algorithm multi niche crowding

Theoretical study of the potential energy surface of N-formyl-L-cysteine-amide by using a genetic algorithm multi niche crowding

Theoretical study of the potential energy surface of N-formyl-L-cysteine-amide by using a genetic algorithm multi niche crowding

Bees Algorithm for multimodal function optimisation

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