Abstract
Fixture layout has a direct and influential impact on sheet metal manufacturing quality. Much attention has been paid to sheet metal fixture locating layout in the fields of academy, engineering, a...
Highlights
Fixture layout has a direct and influential impact on sheet metal manufacturing quality
The method using cuckoo search (CS) algorithm coupled with finite element analysis (FEA) is proposed to cope with the sheet metal fixture locating layout optimization problem
The developed optimization model of fixture locating layout is searched by CS to minimize the overall sheet metal deformation through iterative calls to the FEA solver compared to genetic algorithms (GAs) and particle swarm optimization (PSO)
Summary
As is stated by Yang and Deb, there are three essential components, which can make sure that CS is an efficient and superior evolutionary algorithm They are selection of the best, exploitation by local random walk, and exploration by randomization via Levy flights globally. The exploration steps conducted by Levy flights can effectively search the design space to generate diverse new solutions. PSO is a swarm intelligence and meta-heuristic algorithm, inspired by social behavior simulations of bird flocking and fish schooling.[33] In PSO, the candidate solutions of a population called particles fly through the d-dimensional search space of the problem as each particle generates a solution by a directed velocity. End while Report best solution pg of the swarm with objective function value f (pg).
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