Solving Manufacturing Cell Design Problems Using a Shuffled Frog Leaping Algorithm

2015 ◽  
pp. 253-261 ◽  
Author(s):  
Ricardo Soto ◽  
Broderick Crawford ◽  
Emanuel Vega ◽  
Franklin Johnson ◽  
Fernando Paredes
Keyword(s):  
Cell Design ◽  
Shuffled Frog Leaping Algorithm ◽  
Design Problems ◽  
Manufacturing Cell ◽  
Shuffled Frog Leaping

Solving Manufacturing Cell Design Problems by Using a Dolphin Echolocation Algorithm

2016 ◽  
pp. 77-86 ◽  
Author(s):  
Ricardo Soto ◽  
Broderick Crawford ◽  
César Carrasco ◽  
Boris Almonacid ◽  
Victor Reyes ◽  
...  
Keyword(s):  
Cell Design ◽  
Design Problems ◽  
Manufacturing Cell

Solving Manufacturing Cell Design Problems Using the Black Hole Algorithm

2017 ◽  
pp. 391-398
Author(s):  
Ricardo Soto ◽  
Broderick Crawford ◽  
Nicolás Fernandez ◽  
Víctor Reyes ◽  
Stefanie Niklander ◽  
...  
Keyword(s):  
Black Hole ◽  
Cell Design ◽  
Design Problems ◽  
Manufacturing Cell ◽  
Black Hole Algorithm

scholarly journals Modified Shuffled Frog Leaping Algorithm by adaptive Step Size: Applications to Constraint Engineering Design Problems

2019 ◽  
Vol 8 (11) ◽  
pp. 1093-1098
Keyword(s):  
Engineering Design ◽  
Global Optimum ◽  
Shuffled Frog Leaping Algorithm ◽  
Step Size ◽  
Design Problems ◽  
Shuffled Complex Evolution ◽  
Engineering Design Problems ◽  
Shuffled Frog Leaping ◽  
Optimum Solution ◽  
Adaptive Step

Shuffled frog leaping algorithm (SFLA) is an ongoing expansion to the group of evolutionary algorithm that imitates the societal and natural conduct of species. Upsides of particle swarm optimization (PSO) and shuffled complex evolution (SCE) is consolidates in SFLA i.e. local searching and information shuffling respectively. In this paper SFLA is improved to solve equality and inequality based constraint engineering design problems using penalty function. In proposed approach linear decreasing function that is adaptive in nature will be utilized to improve worst frog position for better exploration and convergence speed. The simulation results designate the superiority of present study over SFLA in term of global optimum solution and fast convergence rate

Solving Manufacturing Cell Design Problems by Using a Bat Algorithm Approach

2016 ◽  
pp. 184-191 ◽  
Author(s):  
Ricardo Soto ◽  
Broderick Crawford ◽  
Andrés Alarcón ◽  
Carolina Zec ◽  
Emanuel Vega ◽  
...  
Keyword(s):  
Bat Algorithm ◽  
Cell Design ◽  
Design Problems ◽  
Manufacturing Cell

Solving Manufacturing Cell Design Problems Using Constraint Programming

2012 ◽  
pp. 400-406 ◽  
Author(s):  
Ricardo Soto ◽  
Hakan Kjellerstrand ◽  
Juan Gutiérrez ◽  
Alexis López ◽  
Broderick Crawford ◽  
...  
Keyword(s):  
Constraint Programming ◽  
Cell Design ◽  
Design Problems ◽  
Manufacturing Cell

Modeling Manufacturing Cell Design Problems: CP vs. MH

2014 ◽  
pp. 498-502 ◽  
Author(s):  
Broderick Crawford ◽  
Ricardo Soto ◽  
Gustavo Zuñiga ◽  
Eric Monfroy ◽  
Fernando Paredes
Keyword(s):  
Cell Design ◽  
Design Problems ◽  
Manufacturing Cell

Improvement of DV-Hop localization based on shuffled frog leaping algorithm

2011 ◽  
Vol 31 (4) ◽  
pp. 922-924 ◽  
Author(s):  
Yu GE ◽  
Xue-ping WANG ◽  
Jing LIANG
Keyword(s):  
Shuffled Frog Leaping Algorithm ◽  
Shuffled Frog Leaping
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