Golden Search Based Artificial Bee Colony Algorithm and Its Application to Solve Engineering Design Problems

Artificial Bee Colony ◽

Design Problems ◽

Bee Colony ◽

ABC+ES: Combining Artificial Bee Colony Algorithm and Evolution Strategies on Engineering Design Problems and Benchmark Functions

Hybrid Intelligent Systems - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-27221-4_5 ◽

2015 ◽

pp. 53-66 ◽

Cited By ~ 3

Author(s):

Marco Antônio Florenzano Mollinetti ◽

Daniel Leal Souza ◽

Rodrigo Lisbôa Pereira ◽

Edson Koiti Kudo Yasojima ◽

Otávio Noura Teixeira

Keyword(s):

Engineering Design ◽

Artificial Bee Colony ◽

Evolution Strategies ◽

Design Problems ◽

Bee Colony ◽

Enriched artificial bee colony metaheuristic for hierarchical goal programming engineering design problems

International Journal of Metaheuristics ◽

10.1504/ijmheur.2016.081136 ◽

2016 ◽

Vol 5 (3/4) ◽

pp. 173

Author(s):

Saima Dhouib ◽

Souhail Dhouib ◽

Habib Chabchoub

Keyword(s):

Engineering Design ◽

Goal Programming ◽

Artificial Bee Colony ◽

Design Problems ◽

Bee Colony ◽

Enriched artificial bee colony metaheuristic for hierarchical goal programming engineering design problems

International Journal of Metaheuristics ◽

10.1504/ijmheur.2016.10002040 ◽

2016 ◽

Vol 5 (3/4) ◽

pp. 173

Author(s):

Saima Dhouib ◽

Souhail Dhouib ◽

Habib Chabchoub

Keyword(s):

Engineering Design ◽

Goal Programming ◽

Artificial Bee Colony ◽

Design Problems ◽

Bee Colony ◽

Evolutionary Quick Artificial Bee Colony for Constrained Engineering Design Problems

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-91262-2_53 ◽

2018 ◽

pp. 603-615 ◽

Cited By ~ 1

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 ◽

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

Journal of Ambient Intelligence and Humanized Computing ◽

10.1007/s12652-019-01265-7 ◽

2019 ◽

Vol 11 (1) ◽

pp. 267-290 ◽

Cited By ~ 8

Author(s):

Tarun K. Sharma ◽

Ajith Abraham

Keyword(s):

Engineering Design ◽

Mechanical Engineering ◽

Artificial Bee Colony ◽

Design Problems ◽

Bee Colony ◽

2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO) ◽

Artificial bee colony metaheuristic to find pareto optimal solutions set for engineering design problems

10.1109/icmsao.2013.6552685 ◽

2013 ◽

Cited By ~ 2

Author(s):

Saima Dhouib ◽

Souhail Dhouib ◽

Habib Chabchoub

Keyword(s):

Engineering Design ◽

Artificial Bee Colony ◽

Pareto Optimal ◽

Pareto Optimal Solutions ◽

Optimal Solutions ◽

Design Problems ◽

Bee Colony ◽

2013 International Conference on Control, Decision and Information Technologies (CoDIT) ◽

Artificial Bee Colony metaheuristic to optimize Goal Programming Engineering Design Problems

10.1109/codit.2013.6689570 ◽

2013 ◽

Author(s):

Saima Dhouib ◽

Souhail Dhouib ◽

Habib Chabchoub

Keyword(s):

Engineering Design ◽

Goal Programming ◽

Artificial Bee Colony ◽

Design Problems ◽

Bee Colony ◽

Impact of Modification Rate in Artificial Bee Colony for Engineering Design Problems

International Journal of Information Engineering and Electronic Business ◽

10.5815/ijieeb.2013.06.07 ◽

2013 ◽

Vol 5 (6) ◽

pp. 55-63 ◽

Cited By ~ 1

Author(s):

Tarun Kumar Sharma ◽

Millie Pant ◽

Deepshikha Bhargava

Keyword(s):

Engineering Design ◽

Artificial Bee Colony ◽

Design Problems ◽

Bee Colony ◽

Engineering Design Problems ◽

Modification Rate

Solving structural engineering design optimization problems using an artificial bee colony algorithm

Journal of Industrial & Management Optimization ◽

10.3934/jimo.2014.10.777 ◽

2014 ◽

Vol 10 (3) ◽

pp. 777-794 ◽

Cited By ~ 79

Author(s):

Harish Garg ◽

Keyword(s):

Design Optimization ◽

Engineering Design ◽

Structural Engineering ◽

Artificial Bee Colony ◽

Optimization Problems ◽

Bee Colony ◽

Engineering Design Optimization

Application of SVR, Taguchi loss function, and the artificial bee colony algorithm to resolve multiresponse parameter design problems: a case study on optimizing the design of a TIR lens

Neural Computing and Applications ◽

10.1007/s00521-013-1357-3 ◽

2013 ◽

Vol 24 (6) ◽

pp. 1293-1309 ◽

Cited By ~ 5

Author(s):

Chih-Ming Hsu

Keyword(s):

Loss Function ◽

Artificial Bee Colony ◽

Parameter Design ◽

Design Problems ◽

Taguchi Loss Function ◽

Bee Colony