Journal of Software Engineering and Applications

Journal of Software Engineering and Applications

ISSN Print: 1945-3116
ISSN Online: 1945-3124
www.scirp.org/journal/jsea
E-mail: jsea@scirp.org
"Comparative Study of Different Representations in Genetic Algorithms for Job Shop Scheduling Problem"
written by Vedavyasrao Jorapur, V. S. Puranik, A. S. Deshpande, M. R. Sharma,
published by Journal of Software Engineering and Applications, Vol.7 No.7, 2014
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] Optimizing production scheduling with the spotted hyena algorithm: A novel approach to the flow shop problem
Reports in Mechanical …, 2023
[2] Design and Implementation of Smart Hydroponics Farming for Manufacture using Novel Genetic Algorithm
2023 8th International …, 2023
[3] Análisis y propuesta de una medida de flexibilidad para sistemas productivos del tipo Job Shop Flexible en entornos multiagentes.
2023
[4] Solving job shop scheduling problems without using a bias for good solutions
2021
[5] An improved local search genetic algorithm with multi-crossover for job shop scheduling problem
2020
[6] Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part II
2020
[7] A Modified Genetic Algorithm with Local Search Strategies and Multi-Crossover Operator for Job Shop Scheduling Problem
2020
[8] Hybrid Genetic Algorithm & Learning Vector Quantization for Classification of Social Assistance Recipients
2019
[9] Fodder composition optimization using modified genetic algorithm
2019
[10] Zastosowanie procesów epigenetycznych w algorytmach genetycznych
2017
[11] An Adaptive Pursuit Genetic Algorithm for Solving Job-Shop Scheduling Problems
2017
[12] GENETIC ALGORITHMS IN INTEGRATED PROCESS PLANNING AND SCHEDULING-A STATE OF THE ART REVIEW
Proceedings in Manufacturing Systems, 2016
[13] An improved MOEA/D for multi-objective job shop scheduling problem
Southern Forests: a Journal of Forest Science, 2016
[14] A Promising Initial Population Based Genetic Algorithm for Job Shop Scheduling Problem
2016
[15] Genetic algorithms in integrated process planning and scheduling–a state of the art review
2016
[16] 基于改进粒子群算法的采购—库存—生产协同计划问题研究
物流技术, 2015
Free SCIRP Newsletters
Copyright © 2006-2025 Scientific Research Publishing Inc. All Rights Reserved.
Top