A genetic-algorithm-based optimal scheduling system for full-filled tanks in the processing of starting materials for alumina production

2008 ◽  
Vol 86 (4) ◽  
pp. 804-812 ◽  
Author(s):  
Chunhua Yang ◽  
Weihua Gui ◽  
Lingshuang Kong ◽  
Xiaoli Wang
Keyword(s):  
Genetic Algorithm ◽  
Optimal Scheduling ◽  
Alumina Production ◽  
Scheduling System

scholarly journals Penjadwalan Tenaga Kebidanan Menggunakan Algoritma Memetika

2018 ◽  
Vol 8 (1) ◽  
pp. 99
Author(s):  
A. Y. Erwin Dodu ◽  
Deny Wiria Nugraha ◽  
Subkhan Dinda Putra
Keyword(s):  
Genetic Algorithm ◽  
Local Search ◽  
Public Hospital ◽  
Memetic Algorithm ◽  
Optimal Schedule ◽  
Scheduling System ◽  
Local Search Methods ◽  
Evolution Algorithm ◽  
Central Sulawesi

The problem of midwife scheduling is one of the most frequent problems in hospitals. Midwife should be available 24 hours a day for a full week to meet the needs of the patient. Therefore, good or bad midwife scheduling result will have an impact on the quality of care on the patient and the health of the midwife on duty. The midwife scheduling process requires a lot of time, effort and good cooperation between some parties to solve this problem that is often faced by the Regional Public Hospital Undata Palu Central Sulawesi Province. This research aimed to apply Memetics algorithm to make scheduling system of midwifery staff at Regional Public Hospital Undata Palu Central Sulawesi Province that can facilitate the process of midwifery scheduling as well as to produce optimal schedule. The scheduling system created will follow the rules and policies applicable in the hospital and will also pay attention to the midwife's preferences on how to schedule them according to their habits and needs. Memetics algorithm is an optimization algorithm that combines Evolution Algorithm  and Local Search method. Evolution Algorithm in Memetics Algorithm generally refers to Genetic Algorithm so that the characteristics of Memetics Algotihm are identical with  Genetic Algorithm characteristics with the addition of Local Search methods. Local Search in Memetic Algorithm aims to improve the quality of an individual so it is expected to accelerate the time to get a solution.

scholarly journals Lecture Scheduling Automation Using Genetic Algorithm

2019 ◽  
Vol 8 (5C) ◽  
pp. 1444-1447
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Test Results ◽  
Scheduling Problems ◽  
Scheduling System ◽  
Parameter Values

This paper aims produce an academic scheduling system using Genetic Algorithm (GA) to solve the academic schedule. Factors to consider in academic scheduling are the lecture to be held, the available room, the lecturers and the time of the lecturer, the suitability of the credits with the time of the lecture, and perhaps also the time of Friday prayers, and so forth. Genetic Algorithms can provide the best solution for some solutions in dealing with scheduling problems. Based on the test results, the resulting system can automate the scheduling of lectures properly. Determination of parameter values in Genetic Algorithm also gives effect in producing the solution of lecture schedule

scholarly journals Genetic Algorithm with Reduction of Search Space Using Operational Constraints and Its Application to Scheduling System for Steelmaking Process

2003 ◽  
Vol 89 (12) ◽  
pp. 1220-1226 ◽  
Author(s):  
Satoshi FUJII ◽  
Sunao TANIMOTO ◽  
Shinji TOMIYAMA ◽  
Ryosuke KIMURA ◽  
Masaaki SHIRAI ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Search Space ◽  
Steelmaking Process ◽  
Scheduling System ◽  
Operational Constraints

An Optimal Scheduling System for the Welland Canal

1988 ◽  
Vol 22 (3) ◽  
pp. 173-185 ◽  
Author(s):  
E. R. Petersen ◽  
A. J. Taylor
Keyword(s):  
Optimal Scheduling ◽  
Scheduling System
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