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

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

Neural networks in manufacturing cell design

1998 ◽  
Vol 36 (1-2) ◽  
pp. 133-138 ◽  
Author(s):  
Manolis Christodoulou ◽  
Vassilis Gaganis
Keyword(s):  
Neural Networks ◽  
Cell Design ◽  
Manufacturing Cell

Resolving the Manufacturing Cell Design Problem via Hunting Search

2018 ◽  
pp. 414-420 ◽  
Author(s):  
Ricardo Soto ◽  
Broderick Crawford ◽  
Rodrigo Olivares ◽  
Nicolás Pacheco
Keyword(s):  
Design Problem ◽  
Cell Design ◽  
Manufacturing Cell

scholarly journals Solving the Manufacturing Cell Design Problem through an Autonomous Water Cycle Algorithm

2019 ◽  
Vol 9 (22) ◽  
pp. 4736 ◽  
Author(s):  
Ricardo Soto ◽  
Broderick Crawford ◽  
Jose M. Lanza-Gutierrez ◽  
Rodrigo Olivares ◽  
Pablo Camacho ◽  
...  
Keyword(s):  
Design Problem ◽  
Optimization Problems ◽  
Water Cycle ◽  
Search Space ◽  
Cell Design ◽  
Optimal Solutions ◽  
Simple Task ◽  
Manufacturing Cell ◽  
Parameter Configuration ◽  
Problem Solvers

Metaheuristics are multi-purpose problem solvers devoted to particularly tackle large instances of complex optimization problems. However, in spite of the relevance of metaheuristics in the optimization world, their proper design and implementation to reach optimal solutions is not a simple task. Metaheuristics require an initial parameter configuration, which is dramatically relevant for the efficient exploration and exploitation of the search space, and therefore to the effective finding of high-quality solutions. In this paper, the authors propose a variation of the water cycle inspired metaheuristic capable of automatically adjusting its parameter by using the autonomous search paradigm. The goal of our proposal is to explore and to exploit promising regions of the search space to rapidly converge to optimal solutions. To validate the proposal, we tested 160 instances of the manufacturing cell design problem, which is a relevant problem for the industry, whose objective is to minimize the number of movements and exchanges of parts between organizational elements called cells. As a result of the experimental analysis, the authors checked that the proposal performs similarly to the default approach, but without being specifically configured for solving the problem.

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