Results 91 to 100 of about 50,778 (275)
End‐to‐End Portfolio Optimization with Hybrid Quantum Annealing
This works presents a hybrid quantum‐classical framework for portfolio optimization that combines quantum assisted asset selection and rebalancing with classical weight allocation. The approach processes real market data, embeds it into Quadratic Unconstrained Binary Optimization formulations, and evaluates performance within a unified workflow ...
Sai Nandan Morapakula +5 more
wiley +1 more source
Textual emotion analysis using improved metaheuristics with deep learning model for intelligent systems [PDF]
Manal Abdullah Alohali +6 more
openalex +1 more source
ABSTRACT The transition to affordable and clean energy sources is essential for creating a sustainable future. Green hydrogen, as an emerging energy carrier, has the potential to meet increasing energy demands while mitigating environmental impact and achieving SDG 7.
A. Telukdarie, K. Murulane, X. Maphisa
wiley +1 more source
ABSTRACT This study investigates how construction waste intensity affects greenhouse gas emissions (GHGe), analyzing data from 345 buildings constructed between 2007 and 2025. Using material waste rates (MWR) from previous cases, it predicts climate impacts based on typical material compositions.
Lea Hasselsteen +3 more
wiley +1 more source
Shear wall plan layout optimization considering seismic loads
Abstract Seismic force resistant structural design requires experience and time. Shear wall elements are generally used in concrete structures due to their high stiffness against horizontal forces. The aim of this study is to obtain optimum structural wall disposition by using building information modeling (BIM) technologies.
Ahmet Çağatay Tahaoğlu, Yasin Fahjan
wiley +1 more source
Water-Based Metaheuristics: How Water Dynamics Can Help Us to Solve NP-Hard Problems
Many water-based optimization metaheuristics have been introduced during the last decade, both for combinatorial and for continuous optimization. Despite the strong similarities of these methods in terms of their underlying natural metaphors (most of ...
Fernando Rubio, Ismael Rodríguez
doaj +1 more source
Heuristics for the traveling repairman problem with profits [PDF]
In the traveling repairman problem with profits, a repairman (also known as the server) visits a subset of nodes in order to collect time-dependent profits. The objective consists of maximizing the total collected revenue.
Dewilde, Thijs +4 more
core +1 more source
Pulse shape optimization for electron-positron production in rotating fields
We optimize the pulse shape and polarization of time-dependent electric fields to maximize the production of electron-positron pairs via strong field quantum electrodynamics processes.
Fillion-Gourdeau, François +3 more
core +1 more source
Modeling Local Search Metaheuristics Using Markov Decision Processes
Local search metaheuristics like tabu search or simulated annealing are popular heuristic optimization algorithms for finding near-optimal solutions for combinatorial optimization problems.
Rubén Ruiz-Torrubiano +3 more
doaj +1 more source
Combinatorial optimization problems are prevalent in various domains, such as logistics, planning, and resource allocation. This study is essential to fields such as applied mathematics and computer science.
Mauricio Maca-Chagüendo +1 more
doaj +1 more source

