An evaluation of three DoE-guided meta-heuristic-based solution methods for a three-echelon sustainable distribution network [PDF]
Sahar Validi +2 more
openalex +1 more source
Hybrid meta-heuristics for combinatorial optimization.
Combinatorial optimization problems arise, in many forms, in vari- ous aspects of everyday life. Nowadays, a lot of services are driven by optimization algorithms, enabling us to make the best use of the available resources while guaranteeing a level of service.
openaire +2 more sources
Abstract Globally, there is a growing trend toward taller, larger, and more structurally diverse buildings that require expansive interior spaces. Rapid technological advancements have surged the demand for data centers, while the expansion of e‐commerce has increased logistics volumes, driving the need for large‐scale warehouses.
Han Yong Lee +2 more
wiley +1 more source
Engineering oriented shape optimization of GHT-Bézier developable surfaces using a meta heuristic approach with CAD/CAM applications. [PDF]
BiBi S +6 more
europepmc +1 more source
Feature selection in wind speed forecasting systems based on meta-heuristic optimization. [PDF]
El-Kenawy EM +6 more
europepmc +1 more source
Abstract Lightweight strain‐hardening ultra‐high‐performance concrete composite (SH‐UHPC) is an outstanding alternative for engineering applications and infrastructure thanks to its outstanding strength, toughness, ductility, and low density. The integration of artificial intelligence (AI)‐based modeling strategies into engineering problems can ...
Metin Katlav, Kazim Turk
wiley +1 more source
Optimal dimensioning of grid-connected PV/wind hybrid renewable energy systems with battery and supercapacitor storage a statistical validation of meta-heuristic algorithm performance. [PDF]
Samy MM, Güven AF.
europepmc +1 more source
A Systems‐Level Approach to Address Risks and Ethics in Artificial Intelligence Systems
ABSTRACT Artificial intelligence (AI) is rapidly changing the world, from completely controlling routine or mundane tasks like text and image generation, to powering advanced algorithms that control critical systems. The recent advances in generative AI quickly overwhelmed multiple industries from education to finance as first adopters rushed (and ...
Vincent P. Paglioni, Torrey Mortenson
wiley +1 more source
Forecasting the daily evaporation by coupling the ensemble deep learning models with meta-heuristic algorithms and data pre-processing in dryland. [PDF]
Fu T, Wang D, Jin J.
europepmc +1 more source
A comparative analysis of meta-heuristic optimization algorithms for feature selection on ML-based classification of heart-related diseases. [PDF]
Ay Ş, Ekinci E, Garip Z.
europepmc +1 more source

