Results 91 to 100 of about 55,623 (279)

Metaheuristic Optimization of Agricultural Machinery for the Colombian Carnation Industry

Agronomy
The flower-growing sector in Latin America presents significant health risks for workers, which highlights the need for technological updates in their production processes. Likewise, outdated machinery leads to losses that need to be avoided.
Nixon Cuenca Orozco, Federico Gutiérrez Madrid, Héctor Fabio Quintero   +2 more
doaj   +1 more source

HyLPD Digital Twin Control for UAV Stability in High‐Wind Conditions

Optimal Control Applications and Methods, EarlyView.
This work introduces a novel HyLPD, a hybrid control framework combining Linear Quadratic Regulator (LQR) for baseline stability and Deep Deterministic Policy Gradient (DDPG) for adaptive compensation, tailored for UAVs under high‐wind conditions.
Cara Rose, Robert McMurray, Muhammad Usman Hadi   +2 more
wiley   +1 more source

Multi-Parameter Optimization Using Metaheuristic Algorithms to Improve Uncrewed Aerial Vehicles’ Wireless Communications: A Performance Analysis

IEEE Access
Uncrewed aerial vehicles (UAVs) require robust communication for operational reliability. Recent research has explored artificial intelligence techniques, particularly metaheuristic algorithms, to address this challenge.
Lalan J. Mishra, Naima Kaabouch
doaj   +1 more source

State Transition Algorithm

, 2012
In terms of the concepts of state and state transition, a new heuristic random search algorithm named state transition algorithm is proposed. For continuous function optimization problems, four special transformation operators called rotation ...
A. H. Wright, A. K. Qin, C. Hamzacebi, C. Hamzacebi, D. D. Burgess, D. E. Goldberg, D. H. Wolpert, D. W. Stroock, F. J. Solis, F. V. Berth, G. Albeanu, G. Rudolph, H. A. Abbass, J. A. Nelder, J. C. Lagarias, J. J. Liang, J. Kennedy, J. Matyas, J. Y. Li, K. Deb, K. F. C. Yiu, P. Collet, R. C. Eberhart, R. Hooke, R. Storn, T. D. Tran, T. W. Leung, T. Zhang, X. J. Zhou, X. J. Zhou, X. S. Yang, Y. H. Shi, Y. X. Yuan, Z. Michalewicz   +33 more
core   +1 more source

End‐to‐End Portfolio Optimization with Hybrid Quantum Annealing

Advanced Quantum Technologies, EarlyView.
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, Sangram Deshpande, Rakesh Yata, Rushikesh Ubale, Uday Wad, Kazuki Ikeda   +5 more
wiley   +1 more source

Unravelling the Green Hydrogen Value Chain: A Digital Sustainability Toolset Advancing Clean Energy and Decent Jobs

Sustainable Development, EarlyView.
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

Feature-based tuning of simulated annealing applied to the curriculum-based course timetabling problem

, 2015
We consider the university course timetabling problem, which is one of the most studied problems in educational timetabling. In particular, we focus our attention on the formulation known as the curriculum-based course timetabling problem, which has been
Bellio, Ruggero, Ceschia, Sara, Di Gaspero, Luca, Schaerf, Andrea, Urli, Tommaso   +4 more
core   +1 more source

Benchmarking Potential Construction Waste Streams and Their Climate Impact: Life Cycle Assessment‐Based Targets for Strategic Planning of Construction Processes

Sustainable Development, EarlyView.
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, Aleksander P. Otovic, Harpa Birgisdóttir, Kai Kanafani   +3 more
wiley   +1 more source

A study on exponential-size neighborhoods for the bin packing problem with conflicts

, 2017
We propose an iterated local search based on several classes of local and large neighborhoods for the bin packing problem with conflicts. This problem, which combines the characteristics of both bin packing and vertex coloring, arises in various ...
Capua, Renatha, Frota, Yuri, Ochi, Luiz Satoru, Vidal, Thibaut   +3 more
core   +1 more source

Shear wall plan layout optimization considering seismic loads

Structural Concrete, EarlyView.
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