|
|
|
|
|
Weiwen Zhou, Elise Miller-Hooks and Sagar Sahasrabudhe
Increasing popularity in gig employment has enabled the use of an at-will workforce of self-contracted couriers to participate in many service industries serving urban areas. This gig workforce has come to play a particularly important role in the growin...
ver más
|
|
|
|
|
|
|
|
|
|
|
Muhammad Hanif Ramadhan, Imam Mustafa Kamal, Dohee Kim and Hyerim Bae
The growth in containerized shipping has led to the expansion of seaports, resulting in the emergence of multiple terminals. While multi-terminal systems increase port capacity, they also pose significant challenges to container transportation, particula...
ver más
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
Bahram Alidaee, Haibo Wang and Lutfu S. Sua
Quadratic unconstrained binary optimization (QUBO) is a classic NP-hard problem with an enormous number of applications. Local search strategy (LSS) is one of the most fundamental algorithmic concepts and has been successfully applied to a wide range of ...
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
Vittorio Maniezzo and Tingting Zhou
The performance of optimization algorithms, and consequently of AI/machine learning solutions, is strongly influenced by the setting of their hyperparameters. Over the last decades, a rich literature has developed proposing methods to automatically deter...
ver más
|
|
|
|
|
|
|
|
|
|
|
Honami Tsushima, Takafumi Matsuura and Tohru Ikeguchi
We have already proposed a multiple-vehicle bike sharing system routing problem (mBSSRP) to adjust the number of bicycles at each port using multiple vehicles in short time. However, there are many strict constraints in the mBSSRP, thus it is difficult t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hubert Anysz, Jerzy Roslon and Andrzej Foremny
There are several factors influencing the time of construction project execution. The properties of the planned structure, the details of an order, and macroeconomic factors affect the project completion time. Every construction project is unique, but th...
ver más
|
|
|
|
|
|