Search Results - subject:"differential evolution algorithm"

An optimisation approach to road sanitation workforce planning using differential evolution

Ighravwe, Desmond Eseoghene; Oke, Sunday Ayoola; … - In: Journal of urban management 9 (2020) 4, pp. 398-407

At present, labour unions of waste disposal agencies and company management are at loggerheads, frequently turning out contradictory sanitation assessments. This reveals a shifting outlook of sanitation accomplishment that should be resolved. Unfortunately, there is scanty research on road...

Persistent link: https://www.econbiz.de/10012418707

Methodology to solve the combination of the generalized assignment problem and the vehicle routing problem: A case study in drug and medical instrument sales and service

Thongkham, Malichan; Kaewman, Sasitorn - In: Administrative Sciences 9 (2019) 1, pp. 1-21

This article presents algorithms for solving a special case of the vehicle routing problem (VRP).We define our proposed problem of a special VRP case as a combination of two hard problems: the generalized assignment and the vehicle routing problem. The different evolution (DE) algorithm is used...

Persistent link: https://www.econbiz.de/10012612041

Solving a special case of the generalized assignment problem using the modified differential evolution algorithms: A case study in sugarcane harvesting

Srivarapongse, Tassin; Pijitbanjong, Phajongjit - In: Journal of Open Innovation: Technology, Market, and … 5 (2019) 1, pp. 1-13

We proposed and created a methodology to solve a real-world problem, which is a special case of the generalized assignment problem. The problem consists of assigning drivers to harvesters, which will then be assigned to harvest sugarcane in order to maximize daily profit. A set of drivers have...

Persistent link: https://www.econbiz.de/10012620221

Improved differential evolution algorithm to solve the advertising method selection problem

Thongkham, Malichan; Srivarapongse, Tassin - In: Journal of Open Innovation: Technology, Market, and … 5 (2019) 3, pp. 1-19

evolution algorithm (IDE), which combines three metaheuristics: (1) The differential evolution algorithm (DE); (2) the iterated … reasonable timeframe. To overcome this challenge, the authors developed a metaheuristic called the improved differential …

Persistent link: https://www.econbiz.de/10012620261

Modified differential evolution algorithm for a transportation software application

In: Journal of Open Innovation: Technology, Market, and … 5 (2019) 4, pp. 1-15

This research developed a solution approach that is a combination of a web application and the modified differential evolution (MDE) algorithm, aimed at solving a real-time transportation problem. A case study involving an inbound transportation problem in a company that has to plan the direct...

Persistent link: https://www.econbiz.de/10012620296

Solving a special case of the generalized assignment problem using the modified differential evolution algorithms : a case study in sugarcane harvesting

Srivarapongse, Tassin; Pijitbanjong, Phajongjit - In: Journal of open innovation : technology, market, and … 5 (2019) 1, pp. 1-13

Persistent link: https://www.econbiz.de/10011975683

Methodology to solve the combination of the generalized assignment problem and the vehicle routing problem : a case study in drug and medical instrument sales and service

Malichan Thongkham; Sasitorn Kaewman - In: Administrative Sciences : open access journal 9 (2019) 1/3, pp. 1-21

Persistent link: https://www.econbiz.de/10012127093

Improved differential evolution algorithm to solve the advertising method selection problem

Thongkham, Malichan; Srivarapongse, Tassin - In: Journal of open innovation : technology, market, and … 5 (2019) 3/61, pp. 1-19

Persistent link: https://www.econbiz.de/10012123514

Modified differential evolution algorithm for a transportation software application

Naratip Supattananon; Raknoi Akararungruangkul - In: Journal of open innovation : technology, market, and … 5 (2019) 4/84, pp. 1-15

Persistent link: https://www.econbiz.de/10012125228

The training of PI-Sigma artificial neural networks with differential evolution algorithm for forecasting

Yılmaz, Oguzhan; Bas, Eren; Egrioglu, Erol - In: Computational economics 59 (2022) 4, pp. 1699-1711

Persistent link: https://www.econbiz.de/10013262226