Results 91 to 100 of about 40,942 (254)
Metaheuristics in automated machine learning: Strategies for optimization
Intelligent Systems with ApplicationsThe present work explores the application of Automated Machine Learning techniques, particularly on the optimization of Artificial Neural Networks through hyperparameter tuning.
Francesco Zito +4 more
doaj +1 more source
Finding Maximum Weight 2‐Packing Sets on Arbitrary Graphs
Networks, EarlyView.ABSTRACT A 2‐packing set for an undirected, weighted graph G=(V,E,w)$$ G=\left(V,\kern0.3em E,\kern0.3em w\right) $$ is a subset 𝒮⊆V such that any two vertices v1,v2∈𝒮 are not adjacent and have no common neighbors. The Maximum Weight 2‐Packing Set problem that asks for a 2‐packing set of maximum weight is NP$$ \mathbf{NP} $$‐hard. Next to 13 novel data
Jannick Borowitz +2 more
wiley +1 more source
A Comparative Evaluation of Nature Inspired Algorithms for Telecommunication Network Design
Applied Sciences, 2020 The subject of the study was an application of nature-inspired metaheuristic algorithms to node configuration optimization in optical networks. The main objective of the optimization was to minimize capital expenditure, which includes the costs of ...
Stanisław Kozdrowski +4 more
doaj +1 more source
The Vehicle Routing Problem with Service Level Constraints
, 2017 We consider a vehicle routing problem which seeks to minimize cost subject to service level constraints on several groups of deliveries. This problem captures some essential challenges faced by a logistics provider which operates transportation services ...
Bulhões, Teobaldo +3 more
core +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 +2 more
wiley +1 more source
Optimization of Soft Actuator Geometry and Material Modeling Using Metaheuristic Algorithms
ActuatorsThe geometry of soft actuators significantly impacts their performance, including force generation, range of motion, and adaptability. Optimizing actuator geometry and material properties under specific constraints is crucial for achieving desired ...
Mohamed Slim +4 more
doaj +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 +3 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 +5 more
wiley +1 more source
Current Trends in Simheuristics: from smart transportation to agent-based simheuristics [PDF]
, 2018 Simheuristics extend metaheuristics by adding a simulation layer that allows the optimization component to deal efficiently with scenarios under uncertainty.
Estrada-Moreno, Alejandro +4 more
core
Microstrip Coupler Design Using Bat Algorithm
, 2014 Evolutionary and swarm algorithms have found many applications in design problems since todays computing power enables these algorithms to find solutions to complicated design problems very fast.
Ulker, Ezgi Deniz, Ulker, Sadik
core +1 more source