Results 121 to 130 of about 116,019 (342)

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Multi-Depot Capacitated Vehicle Routing Problem by Using Stable Marriage and K-Means Clustering to Minimize Number of Unserved Customers and Total Travel Distance

, 2021
Purba Daru Kusuma, Meta Kallista, A Ahmed, J Sun, K Braekers, K Ramaekers, I Van Nieuwenhuyse, L Bertazzi, N Secomandi, N Normasari, V Yu, C Bachtiar, Sukoyo, B Khaoula, B Youssef, B Ghizlane, A Annouch, A Bellabdaoui, Z Peya, M Akhnand, T Sultana, M Rahman, W Zhang, Y Gajpal, S Appadoo, Q Wei, B Peng, L Wu, Y Yi, X Chen, J Lin, W Zhou, O Wolfson, S Shao, W Guan, B Ran, Z He, J Bi, M Okulewicz, J Mandziuk, I Cuevas, S Omar, C Morales, J Flores, J Vazquez, X Ge, Z Zhu, Y Jin, U Yildirim, Y Kuvvetli, K Ouaddi, Y Benadada, F Mhada, Q Qiao, F Tao, H Wu, X Yu, M Zhang, A Alhujaylan, M Hosny, H Jahangir, M Mohammadi, S Pasandideh, N Nobari, D Gale, L Shapley, A Abdulkadiroglu, Y Che, Y Yasuda, R Manlove, S Scott, R Bai, J Li, J Atkin, G Kendall, M Kummel, F Busch, D Wang, P Kusuma, N Rachmaningrum, C Wu, B Yan, R Yu, B Yu, X Zhou, Y Yu, N Chen, R Irving, P Leather, D Gusfield   +89 more
openalex   +1 more source

Tackling the rich vehicle routing problem with nature-inspired algorithms [PDF]

, 2022
Veronika Lesch, Maximilian König, Samuel Kounev, Anthony Stein, Christian Krupitzer   +4 more
openalex   +1 more source

Particle Swarm Optimization in Solving Capacitated Vehicle Routing Problem [PDF]

, 2013
The Capacitated Vehicle Routing Problem (CVRP) is an NP-Hard problem, which means it is impossible to find a polynomial time solution for it. So researchers try to reach a near optimum solution by using meta-heuristic algorithms.
Sami, A. (Ashkan), Tavakoli, M. M. (M)
core  

Aqueous Zinc‐Based Batteries: Active Materials, Device Design, and Future Perspectives

Advanced Energy Materials, EarlyView.
This review conducts a comprehensive analysis of aqueous zinc‐based batteries (AZBs) based on their intrinsic mechanisms, including redox reactions, ion intercalation reactions, alloying reactions, electrochemical double‐layer reactions, and mixed mechanisms, systematically discussing recent advancements in each type of AZBs.
Yan Ran, Fang Dong, Shuhui Sun, Yong Lei
wiley   +1 more source

Generalized vehicle routing problem: Contemporary trends and research directions. [PDF]

Heliyon, 2023
Jolfaei AA, Alinaghian M, Bahrami R, Tirkolaee EB.   +3 more
europepmc   +1 more source

PENENTUAN RUTE PENGANGKUTAN SAMPAH DENGAN MENGGUNAKAN METODE VEHICLE ROUTING PROBLEM (VRP) TIME WINDOWS UNTUK WILAYAH BANDUNG UTARA [PDF]

, 2018
Peningkatan jumlah sampah di kota Bandung ditunjang oleh sarana dan prasarana pengolahan sampah yang mendukung supaya tidak terjadi penumpukan sampah. Proses pengumpulan sampah merupakan kontribusi terbesar dalam biaya pengolahan sampah.
FAJRINA AULIA, 143010181
core  

From Materials to Systems: Challenges and Solutions for Fast‐Charge/Discharge Na‐Ion Batteries

Advanced Energy Materials, EarlyView.
This review systematically analyzes the key characteristics limiting the fast‐charge/discharge capability of Na‐ion batteries (SIBs) from a multi‐scale perspective encompassing electrode materials, the electrode‐electrolyte interface, and the system. Furthermore, it presents practical solution strategies for the fundamental issues arising at each scale,
Bonyoung Ku, Sangbin Park, Sunha Hwang, Sunghyun Lim, Won‐Sub Yoon, Jongsoon Kim   +5 more
wiley   +1 more source

A savings based method for real-life vehicle routing problems [PDF]

This paper describes a Savings Based algorithm for the Extended Vehicle Routing Problem. This algorithm is compared with a Sequential Insertion algorithm on real-life data.
Kant, G., Poot, A., Wagelmans, A.P.M.
core   +1 more source

A Computational Study of Genetic Crossover Operators for Multi-Objective Vehicle Routing Problem with Soft Time Windows [PDF]

, 2008
The article describes an investigation of the effectiveness of genetic algorithms for multi-objective combinatorial optimization (MOCO) by presenting an application for the vehicle routing problem with soft time windows.
Geiger, Martin Josef
core   +1 more source