Results 91 to 100 of about 50,815 (253)
A study on exponential-size neighborhoods for the bin packing problem with conflicts
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 +3 more
core +1 more source
HyLPD Digital Twin Control for UAV Stability in High‐Wind Conditions
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 +2 more
wiley +1 more source
ACO for continuous function optimization: a performance analysis [PDF]
The performance of the meta-heuristic algorithms often depends on their parameter settings. Appropriate tuning of the underlying parameters can drastically improve the performance of a meta-heuristic. The Ant Colony Optimization (ACO), a population based
Abraham, Ajith +2 more
core
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
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
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
A Two-Level Metaheuristic Algorithm for the Job-Shop Scheduling Problem
This paper proposes a novel two-level metaheuristic algorithm, consisting of an upper-level algorithm and a lower-level algorithm, for the job-shop scheduling problem (JSP).
Pisut Pongchairerks
doaj +1 more source
Metaheuristic Algorithms and Tree Decomposition [PDF]
This chapter deals with the application of evolutionary approaches and other metaheuristic techniques for generating tree decompositions. Tree decomposition is a concept introduced by Robertson and Seymour [1] and it is used to characterize the difficulty of constraint satisfaction and NP-hard problems that can be represented as a graph.
Thomas Hammerl +2 more
openaire +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

