Optimization of Constrained Machining Parameters in Turning Operation Using Firefly Algorithm

Raja, S. Bharathi; Narayanan, N. Sathiya; Pramod, C. V. Srinivas; Ragunathan, Arvind; Vinesh, Somala Raju; Krishna, K. Vamshee

doi:10.3923/jas.2012.1038.1042

Cited by 16 publications

(3 citation statements)

References 4 publications

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“…The FA is a swarm-based metaheuristic algorithm that is based on the flashing behavior of fireflies. It is a simple and efficient algorithm that can be readily implemented [41][42][43][44][45][46]. The cultural algorithm (CA) is a computational science of evolution that was developed by Reynolds in 1994 [47] to enhance the efficiency of the artificial bee colony algorithm (ABC), which is a form of evolutionary computation.…”

Section: Introductionmentioning

confidence: 99%

An Alternative Approach Using the Firefly Algorithm and a Hybrid Method Based on the Artificial Bee Colony and Cultural Algorithm for Reservoir Operation

Phumiphan,

Kosasaeng,

Sivanpheng

et al. 2024

Water

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In reservoir operation rule curves, it is necessary to apply rule curves to guide long-term reservoir management. This study proposes an approach to optimizing reservoir operation rule curves (RORCs) using intelligent optimization techniques from the firefly algorithm (FA) and a unique combination method utilizing the artificial bee colony and cultural algorithm (ABC-CA). The aim is to establish a connection with the simulation model to determine the optimal RORCs for flood control. The proposed model was used to determine the optimal flood control RORC for the Nam-Oon Reservoir (NOR) in northeastern Thailand. A minimum frequency and minimum average of excess water were provided as an objective function for assessing the efficiency of the search process. The evaluation of the effectiveness of flood control RORCs involved expressing water scarcity and excess water situations in terms of frequency, magnitude, and duration using historical inflow data synthesized from 1000 events. The results demonstrated that when using the obtained RORC to simulate the NOR system for reducing flooding in long-term operations, excess water scenarios were smaller than those using the current RORC. The results showed that the excess water scenario using the RORC obtained from the proposed model can reduce the excess water better than the current RORC usage scenario. In decreasing flood situations, the newly acquired RORC from the suggested FA and ABC-CA models performed better than the current RORC.

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Section: Introductionmentioning

confidence: 99%

An Alternative Approach Using the Firefly Algorithm and a Hybrid Method Based on the Artificial Bee Colony and Cultural Algorithm for Reservoir Operation

Phumiphan,

Kosasaeng,

Sivanpheng

et al. 2024

Water

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“…Ameur and Assas [8] applied modified PSO for optimization of cutting speed, feed rate and depth of cut so as to achieve desirable compromise between the extent of material removal rate and tool wear. In order to achieve minimum production time in single-pass turning process, Bharathi Raja et al [9] applied firefly algorithm (FA). The optimization framework was based on the optimization model proposed by Agapiuou [3].…”

Section: Introductionmentioning

confidence: 99%

An Optimization Approach for Production Time Minimization in Longitudinal Turning

Madić¹,

Radovanović²,

Kovačević³

2017

J. Prod. Eng.

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“…Appropriate selection of cutting parameters is very important in machining operation because it will affect the value of machining performance. Current methods to select the cutting parameters that are always being used are mainly depending on machinist expert and machining data handbook [6].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Surface Roughness in Turning Operation Using Firefly Algorithm

Johari

Zain

Mustaffa

et al. 2015

AMM

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Recently, Firefly Algorithm (FA) has become an important technique to solve optimization problems. Various FA variants have been developed to suit various applications. In this paper, FA is used to optimize machining parameters such as % Volume fraction of SiC (V), cutting speed (S), feed rate (F), depth of cut (D) and machining time (T). The optimal machining cutting parameters estimated by FA that lead to a minimum surface roughness are validated using ANOVA test.

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Optimization of Constrained Machining Parameters in Turning Operation Using Firefly Algorithm

Cited by 16 publications

References 4 publications

An Alternative Approach Using the Firefly Algorithm and a Hybrid Method Based on the Artificial Bee Colony and Cultural Algorithm for Reservoir Operation

An Alternative Approach Using the Firefly Algorithm and a Hybrid Method Based on the Artificial Bee Colony and Cultural Algorithm for Reservoir Operation

An Optimization Approach for Production Time Minimization in Longitudinal Turning

Optimization of Surface Roughness in Turning Operation Using Firefly Algorithm

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