Mesh smoothing of complex geometry using variations of cohort intelligence algorithm

Sapre, Mandar S.; Kulkarni, Anand J.; Chettiar, Lakshmanan; Deshpande, Ishani; Piprikar, Bharat

doi:10.1007/s12065-018-0166-0

Cited by 6 publications

(1 citation statement)

References 21 publications

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“…Sapre et al [85] had attempted for mesh quality improvement using Cohort Intelligence (CI) Algorithm. Finite element analysis has proved to be best tool for assessment of designs prior actual manufacturing.…”

Section: Cohort Intelligence Algorithmmentioning

confidence: 99%

Applicability and Efficiency of Socio-Cultural Inspired Algorithms in Optimizing Mechanical Systems – A Critical Review

Patel¹,

Kakandikar²,

Kulkarni³

2020

RCES

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In the recent years' optimization algorithms are used in many real-life applications to get the best out of everything. There are many types of optimization algorithm such as Nature inspired algorithm, Bio-Inspired algorithm which also have their applications. This paper aims to presents different category of algorithms and their applications, which are inspired by the social behavior of humans in groups termed as family. These algorithms are widely appreciated by researchers from various domains for optimization. The performance of social algorithm (SA) to discover the global optimum solution for the constrained, unconstrained and multi-objective optimization problems is sound. This paper extensively reviews and presents the applicability and also efficiency of the socio-inspired algorithm in solving real life problems in the field of mechanical engineering mechanical engineering problems.

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Section: Cohort Intelligence Algorithmmentioning

confidence: 99%