Jurnal Teknik Industri
Vol 13, No 1 (2012): Februari

Algoritma Differential Evolution Untuk Penjadwalan Flow Shop Banyak Mesin Dengan Multi Obyektif

Eko Wiratno, Stefanus (Unknown)
Rudi, Nurdiansyah (Unknown)
Santosa, Budi (Unknown)

Article Info

Publish Date
29 Mar 2012

Abstract

This research focuses on the development of Differential Evolution(DE) algorithmto solve m-machine flow shopscheduling problems with respect to both makespan and total flow time. Development of DE algorithm is done by modifyingthe adaptive parameter determination procedure in order to change the value of adaptive parameters in each generation,adding local search strategy to the algorithm in order to improve the quality of the resulting solutions, as ewell as modifyingthe crossover in order to reduce computation time. The result indicates that the proposed DE algorithm has proven to bebetter than the original DE algorithm, Genetic Algorithm (GA), and for certain cases it also out performs Multi-ObjectiveAnt Colony System Algorithm (MOCSA).

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Journal Info
Jurnal Teknik Industri
Website

Abbrev

industri

Publisher

Universitas Muhammadiyah Malang

Subject

Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering

Description

Dr. Saiful Anwar Malang is a state hospital has done it is job and function, but in 3rd class of pavilion room, the number of patient decrease dramatically. It is concerned with quality of this hospital. To answer this problem, research was done using Quality Function Deployment (QFD). Quality ...