Results 61 to 70 of about 1,619 (175)

Building Blocks as Experiences in Dynamic Capacitated Arc Routing Problems

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The dynamic capacitated arc routing problem (DCARP) aims to update the service paths of vehicles in the capacitated arc routing problem when uncertain factors deteriorate the current schedule of vehicles' services. A DCARP scenario comprises a series of DCARP instances that share similarities with each other. Therefore, optimisation experience
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao   +4 more
wiley   +1 more source

Gantry Crane Scheduling with Interference Constraints in Railway Container Terminals [PDF]

International Journal of Computational Intelligence Systems, 2013
Railway container terminals, where gantry cranes are responsible for loading and unloading containers between freight trains and yards, are important hubs of hinterland logistics transportation.
Peng Guo, Wenming Cheng, Zeqiang Zhang, Min Zhang, Jian Liang   +4 more
doaj   +1 more source

Transmission Expansion Planning Considering Power Losses, Expansion of Substations and Uncertainty in Fuel Price Using Discrete Artificial Bee Colony Algorithm

IEEE Access, 2021
Transmission expansion planning (TEP) is an important part of power system expansion planning. In TEP, optimal number of new transmission lines and their installation time and place are determined in an economic way.
Meisam Mahdavi, Ali Kimiyaghalam, Hassan Haes Alhelou, Mohammad Sadegh Javadi, Ahmad Ashouri, Joao P. S. Catalao   +5 more
doaj   +1 more source

Iflaviruses in arthropods: when small is mighty

Insect Science, EarlyView.
Many arthropod species harbor iflaviruses, which often cause covert (asymptomatic) infections, but may still affect host fitness. We review the impact of iflaviruses on arthropod fitness, immunity, behaviour as well as the iflavirus’ host range, transmission, tissue tropism and the interactions with other microorganisms within arthropods.
Annamaria Mattia, Hannah‐Isadora Huditz, Monique M. van Oers, Vera I.D. Ros   +3 more
wiley   +1 more source

Bridging the implementation gap in MCABC inventory management: from a taxonomy to practical archetypes

International Transactions in Operational Research, EarlyView.
Abstract Despite increasing demands for resilient and sustainable supply chains, inventory management often relies on outdated single‐criterion analyses. While multi‐criteria ABC (MCABC) analyses provide a theoretically mature assessment of resilience‐sustainability‐benefit trade‐offs in inventory, their adoption remains limited due to fragmented ...
Lukas Grützner, Michael H. Breitner
wiley   +1 more source

Inferring causal protein signalling networks from single‐cell data based on parallel discrete artificial bee colony algorithm

CAAI Transactions on Intelligence Technology
Inferring causal protein signalling networks from human immune system cell data is a promising approach to unravel the underlying tissue signalling biology and dysfunction in diseased cells, which has attracted considerable attention within the ...
Jinduo Liu, Jihao Zhai, Junzhong Ji
doaj   +1 more source

An Adaptive Embedding Strength Watermarking Algorithm Based on Shearlets’ Capture Directional Features

Mathematics, 2020
The discrete wavelet transform (DWT) is unable to represent the directional features of an image. Similarly, a fixed embedding strength is not able to establish an ideal balance between imperceptibility and robustness of a watermarked image. In this work,
Qiumei Zheng, Nan Liu, Fenghua Wang
doaj   +1 more source

Multi-Objective Discrete Brainstorming Optimizer to Solve the Stochastic Multiple-Product Robotic Disassembly Line Balancing Problem Subject to Disassembly Failures

Mathematics, 2023
Robots are now widely used in product disassembly lines, which significantly improves end-of-life (EOL) product disassembly efficiency. Most of the current research on disassembly line balancing problems focuses on decomposing one product.
Gongdan Xu, Zhiwei Zhang, Zhiwu Li, Xiwang Guo, Liang Qi, Xianzhao Liu   +5 more
doaj   +1 more source

Deep reinforcement learning for multi‐restart metaheuristics: an environment design for a hybrid of unbiased exploratory search and covariance matrix adaptation evolution strategy

International Transactions in Operational Research, EarlyView.
Abstract Multi‐restart metaheuristics can be highly effective for complex optimization problems, yet their performance depends critically on how restarts and algorithmic parameters are selected. This paper introduces a reinforcement learning approach for managing restart‐level decisions and parameter configurations in the UES–CMA‐ES hybrid ...
Antonio Bolufé‐Röhler, Bowen Xu
wiley   +1 more source

Machine Learning‐Based Loan Approval Automation: Enhancing Efficiency, Accuracy and Fairness in Credit Decision‐Making

Expert Systems, Volume 43, Issue 7, July 2026.
ABSTRACT Traditional loan approval processes are manual, time‐consuming and susceptible to human bias. This research develops a machine learning‐based system to automate loan eligibility assessment while enhancing efficiency, accuracy and fairness in credit decision‐making. We developed and compared multiple supervised ML models—including Random Forest,
Mani Ghahremani, Hellen Amimo Otieno, Mishanil Kazreen, Stavros Shiaeles   +3 more
wiley   +1 more source