Artificial bee colony with enhanced food locations for solving mechanical engineering design problems

2019 ◽  
Vol 11 (1) ◽  
pp. 267-290 ◽  
Author(s):  
Tarun K. Sharma ◽  
Ajith Abraham
Keyword(s):  
Engineering Design ◽  
Mechanical Engineering ◽  
Artificial Bee Colony ◽  
Design Problems ◽  
Bee Colony ◽  
Engineering Design Problems

Evolutionary Quick Artificial Bee Colony for Constrained Engineering Design Problems

2018 ◽  
pp. 603-615 ◽  
Author(s):  
Otavio Noura Teixeira ◽  
Mario Tasso Ribeiro Serra Neto ◽  
Demison Rolins de Souza Alves ◽  
Marco Antonio Florenzano Mollinetti ◽  
Fabio dos Santos Ferreira ◽  
...  
Keyword(s):  
Engineering Design ◽  
Artificial Bee Colony ◽  
Design Problems ◽  
Bee Colony ◽  
Engineering Design Problems

Optimal Designs by Means of Genetic Algorithms

2021 ◽  
pp. 344-354
Author(s):  
Lata Nautiyal ◽  
Preeti Shivach ◽  
Mangey Ram
Keyword(s):  
Genetic Algorithms ◽  
Modeling And Simulation ◽  
Engineering Design ◽  
Design Problem ◽  
High Performance ◽  
Mechanical Engineering ◽  
Design Parameters ◽  
Design Problems ◽  
Simulation Tools ◽  
Engineering Design Problems

With the advancement in contemporary computational and modeling skills, engineering design completely depends upon on variety of computer modeling and simulation tools to hasten the design cycles and decrease the overall budget. The most difficult design problem will include various design parameters along with the tables. Finding out the design space and ultimate solutions to those problems are still biggest challenges for the area of complex systems. This chapter is all about suggesting the use of Genetic Algorithms to enhance maximum engineering design problems. The chapter recommended that Genetic Algorithms are highly useful to increase the High-Performance Areas for Engineering Design. This chapter is established to use Genetic Algorithms to large number of design areas and delivered a comprehensive conversation on the use, scope and its applications in mechanical engineering.

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