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
"A Promising Initial Population Based Genetic Algorithm for Job Shop Scheduling Problem"
written by Vedavyasrao S. Jorapur, Vinod S. Puranik, Anand S. Deshpande, Mahesh Sharma,
published by Journal of Software Engineering and Applications, Vol.9 No.5, 2016
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] A New Frequency Analysis Operator for Population Improvement in Genetic Algorithms to Solve the Job Shop Scheduling Problem
Sensors, 2022
[2] Toward Efficient FMS Scheduling Through Rules Combination Using an Optimization-Simulation Mechanism
International Workshop on Service …, 2022
[3] An Improved Sparrow Search Algorithm for Location Optimization of Logistics Distribution Centers
Journal of Circuits, Systems and Computers, 2022
[4] A New Genetic Improvement Operator Based on Frequency Analysis for Genetic Algorithms Applied to Job Shop Scheduling Problem
International Conference on Artificial …, 2021
[5] Dynamic scheduling of manufacturing systems: a product-driven approach using hyper-heuristics
2021
[6] Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part II
2020
[7] An Algorithm for Efficient Generation of Customized Priority Rules for Production Control in Project Manufacturing with Stochastic Job Processing Times
2020
[8] A Modified Genetic Algorithm with Local Search Strategies and Multi-Crossover Operator for Job Shop Scheduling Problem
2020
[9] An Improved Local Search Genetic Algorithm with Multi-Crossover for Job Shop Scheduling Problem
2020
[10] Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12–14, 2020, Proceedings, Part II
2020
[11] Proposition d'une méthode d'apprentissage à base de produits intelligents pour les ateliers partiellement flexibles/dynamiques
2020
[12] Exploring Selection and Generation Hyper-heuristic Approaches for the Job Shop Scheduling Problem
2020
[13] On initial population generation in feature subset selection
2019
[14] Formulation and Solution for the Predictive Maintenance Integrated Job Shop Scheduling Problem
2019
[15] Simulation-Based Optimization Approach for Efficient Generation of Sequencing Heuristics for Solving the Stochastic Resource-Constrained Scheduling Problem
2019
[16] Low-Carbon Job Shop Scheduling Problem with Discrete Genetic-Grey Wolf Optimization Algorithm
2019
[17] Simulation-Based Optimization Approach for Efficient Generation of Sequencing Heuristics for Solving the Stochastic Resource-Constrained Scheduling Problem
Simulation in Produktion und Logistik, 2019
[18] Sınav Çizelgeleme Probleminin Çözümü İçin Genetik Algoritma Yaklaşımı
2019
[19] INTELLIGENT MANUFACTURING FOR PRODUCTION PLANNING BASED UPON HIERARCHICALLY COUPLED CONSTRAINED AND MULTIMODAL …
2018
[20] A Hybrid Grey Wolf Optimization for Job Shop Scheduling Problem
International Journal of Computational Intelligence and Applications, 2018
[21] A state of the art review of intelligent scheduling
2018
[22] Multi-Objective Criteria in Hybrid Flow Shop Scheduling Using Improved Genetic Algorithm
2017
[23] Genetic Approach To Hypercube Problems
2017
[24] Optimizing multi-plateau functions with FSS-SAR (Stagnation Avoidance Routine)
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016
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