Results 71 to 80 of about 1,066,632 (248)
Advanced Intelligent Systems, EarlyView.Neuro‐evolution can boost machine‐learning optimization of chiral metasurfaces. By integrating the NEAT algorithm into a deep‐learning framework, we enable the efficient design of visible‐spectrum chiroptical responses. NEAT autonomously evolves neural‐network architectures and weights, reducing manual tuning.
Davide Filippozzi, Arash Rahimi‐Iman
wiley +1 more source
Nurse Scheduling with Opposition-Based Parallel Harmony Search Algorithm
Journal of Intelligent Systems, 2019 One of the advances made in the management of human resources for the effective implementation of service delivery is the creation of personnel schedules.
Cetin Yagmur Ece, Sarucan Ahmet
doaj +1 more source
Bio-Inspired Meta-Heuristics for Emergency Transportation Problems
Algorithms, 2014 Emergency transportation plays a vital role in the success of disaster rescue and relief operations, but its planning and scheduling often involve complex objectives and search spaces. In this paper, we conduct a survey of recent advances in bio-inspired
Min-Xia Zhang, Bei Zhang, Yu-Jun Zheng
doaj +1 more source
Advanced Intelligent Systems, EarlyView.Secure Fusion‐X harmonizes unstructured NVD descriptions with structured CVSS/CWE/CPE metadata via decision‐level fusion, overcoming the fragility of traditional unimodal models. Automated assessment of software vulnerability exploitability is essential for intelligent cyber defense, yet its effectiveness is often hindered by unstable, delayed, or ...
Mona Dolati +3 more
wiley +1 more source
Complex & Intelligent SystemsMulti-objective optimization (MOO) endeavors to identify optimal solutions from a finite array of possibilities. In recent years, deep reinforcement learning (RL) has exhibited promise through its well-crafted heuristics in tackling NP-hard combinatorial
Qi Wang, Chengwei Zhang, Bin Hu
doaj +1 more source
American Journal of Agricultural Economics, EarlyView.Abstract Discrete choice experiments are increasingly being used to estimate land managers' willingness to accept participation in incentive‐based environmental programs. This is a specific application of discrete choice experiments: the estimation of willingness to accept for a private good (program participation) where respondents have to make trade ...
Anastasio J. Villanueva +2 more
wiley +1 more source
Exploiting heterogeneity for cost efficient 5G base station deployment using meta‐heuristics
IET Networks, 2020 A key concern in the design of 5G is the radio access network, which is expected to be significantly denser and more advanced, with considerably higher infrastructure and power consumption cost than that of conventional mobile network standards.
David Aondoakaa +2 more
doaj +1 more source
Informe de práctica empresarial, Comisaría de Familia de Guamal
, 2023 Las Comisarías de Familia son la puerta de entrada para el acceso a la justicia que tienen las víctimas de violencia intrafamiliar, la cual conlleva de manera implícita la violación de los derechos humanos, repercute en el ámbito de la integridad física ...
Cárdenas Chaparro, Ingrid Julieth
core
Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million +3 more
wiley +1 more source
Energy loss optimization of run-off-road wheels applying imperialist competitive algorithm
Information Processing in Agriculture, 2014 The novel imperialist competitive algorithm (ICA) has presented outstanding fitness on various optimization problems. Application of meta-heuristics has been a dynamic studying interest of the reliability optimization to determine idleness and ...
Hamid Taghavifar, Aref Mardani
doaj +1 more source