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An integrated approach for scheduling flexible job-shop using teaching-learning-based optimization method

Buddala, Raviteja; Mahapatra, Siba Sankar - In: Journal of industrial engineering international 15 (2019) 1, pp. 181-192

to other meta-heuristics. Therefore, it can be considered as an efficient algorithm. As best student of the class is … loss in diversity in the population. So, like many meta-heuristics, TLBO also has a tendency to get trapped at the local …

Persistent link: https://www.econbiz.de/10012020105

Planning of complex supply chains : a performance comparison of three meta-heuristic algorithms

Fahimnia, Behnam; Davarzani, Hoda; Eshragh, Ali - In: Computers & operations research : and their … 89 (2018), pp. 241-252

Persistent link: https://www.econbiz.de/10011755241

Vehicle routing problem and its solution methodologies : a survey

Goel, Rajeev; Maini, Raman - In: International journal of logistics systems and management 28 (2017) 4, pp. 419-435

Persistent link: https://www.econbiz.de/10011862487

A combined genetic algorithm and simulated annealing approach for solving competitive hub location and pricing problem

Abbasi, Mehdi; Niknam, Raziyeh - In: International journal of applied management science 9 (2017) 3, pp. 188-202

Persistent link: https://www.econbiz.de/10011858283

A hybrid artificial bee colony algorithm for a flexible job shop scheduling problem with overlapping in operations

Meng, Tao; Pan, Quan Ke; Sang, Hong-Yan - In: International journal of production research 56 (2018) 16, pp. 5278-5292

Persistent link: https://www.econbiz.de/10011931151

Improved teaching-learning-based and JAYA optimization algorithms for solving flexible flow shop scheduling problems

Buddala, Raviteja; Mahapatra, Siba Sankar - In: Journal of industrial engineering international 14 (2018) 3, pp. 555-570

of meta-heuristics have been proposed in the past. However, tuning algorithm-specific parameters for solving FFSP is … are chosen for the study because these are not only recent meta-heuristics but they do not require tuning of algorithm …

Persistent link: https://www.econbiz.de/10011887964

Meta-heuristic algorithms for solving the sustainable agro-food grain supply chain network design problem

Dwivedi, Ashish; Jha, Ajay; Prajapati, Dhirendra; … - In: Modern supply chain research and applications 2 (2020) 3, pp. 161-177

Purpose Due to unceasing declination in environment, sustainable agro-food supply chains have become a topic of concern to business, government organizations and customers. The purpose of this study is to examine a problem associated with sustainable network design in context of Indian agro-food...

Persistent link: https://www.econbiz.de/10012391011

Heuristic approaches for a two-echelon constrained joint replenishment and delivery problem

Carvajal, Jimmy; Castaño, Fabian; Sarache, William; … - In: International journal of production economics 220 (2020), pp. 1-13

Persistent link: https://www.econbiz.de/10012175368

Knowledge management overview of feature selection problem in high-dimensional financial data : cooperative co-evolution and MapReduce perspectives

Rashid, A. N. M. Bazlur; Choudhury, Tonmoy - In: Problems and perspectives in management : PPM ; … 17 (2019) 4, pp. 340-359

Persistent link: https://www.econbiz.de/10012176003

A flexible job shop scheduling approach with operators for coal export terminals : a mature approach

Burdett, Robert L.; Corry, Paul; Eustace, Colin; Smith, … - In: Computers & operations research : and their … 115 (2020), pp. 1-21

Persistent link: https://www.econbiz.de/10012162768