|
|
|
|
|
Lei Sun, Weimin Shi, Junru Wang, Huimin Mao, Jiajia Tu and Luojun Wang
Production scheduling in a knitting workshop is an important method to improve production efficiency, reduce costs and improve service. In order to achieve a reasonable allocation of parallel machines as well as cooperation between different machines wit...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ye Sun, Qing Chen, Dan Xie, Ning Shao, Wei Ding and Yuzhan Dong
This paper puts forward a fault location method combining the improved matrix algorithm and the genetic tabu algorithm based on multi-source information in view of the limitation of existing fault location methods in active distribution networks, such as...
ver más
|
|
|
|
|
|
|
|
|
|
|
Junbo Liu, Ji Zhou, Dajie Yu, Haifeng Sun, Song Hu and Jian Wang
As an effective resolution enhancement technology, source optimization (SO) is considered key for significantly improving the image quality of optical lithography at advanced nodes. To solve the problem of unsatisfactory SO performance, it is necessary t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fakhar Uddin, Naveed Riaz, Abdul Manan, Imran Mahmood, Oh-Young Song, Arif Jamal Malik and Aaqif Afzaal Abbasi
The travelling salesman problem (TSP) is perhaps the most researched problem in the field of Computer Science and Operations. It is a known NP-hard problem and has significant practical applications in a variety of areas, such as logistics, planning, and...
ver más
|
|
|
|
|
|
|
|
|
|
|
Krit Sriworamas, Haris Prasanchum, Seyed Mohammad Ashrafi, Rattana Hormwichian, Rapeepat Techarungruengsakul, Ratsuda Ngamsert, Teerajet Chaiyason and Anongrit Kangrang
This paper presents a comprehensive review of optimization algorithms utilized in reservoir simulation-optimization models, specifically focusing on determining optimal rule curves. The study explores critical conditions essential for the optimization pr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jesús Muñuzuri, Antonio Lorenzo-Espejo, Ana Pegado-Bardayo and Alejandro Escudero-Santana
The multiple processes taking place on a daily basis at an intermodal container terminal are often considered individually, given the complexity of their joint consideration. Nevertheless, the integrated planning and scheduling of operations in an interm...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mariano Vargas-Santiago, Raúl Monroy, José Emmanuel Ramirez-Marquez, Chi Zhang, Diana A. Leon-Velasco and Huaxing Zhu
Leveraging human insight and intuition has been identified as having the potential for the improvement of traditional algorithmic methods. For example, in a video game, a user may not only be entertained but may also be challenged to beat the score of an...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ai-Hua Zhou, Li-Peng Zhu, Bin Hu, Song Deng, Yan Song, Hongbin Qiu and Sen Pan
The traveling-salesman problem can be regarded as an NP-hard problem. To better solve the best solution, many heuristic algorithms, such as simulated annealing, ant-colony optimization, tabu search, and genetic algorithm, were used. However, these algori...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fu Chen, Benxi Liu, Chuntian Cheng and Ali Mirchi
This paper presents an integrated method to obtain optimal market operation and regulation with the objective of reducing the market price and increasing the electricity consumption in hydro-dominated electricity markets, in which giant cascaded hydropow...
ver más
|
|
|
|
|
|
|
|
|
|
|
Krystel K. Castillo-Villar
Bioenergy is a new source of energy that accounts for a substantial portion of the renewable energy production in many countries. The production of bioenergy is expected to increase due to its unique advantages, such as no harmful emissions and abundance...
ver más
|
|
|
|
|
|