Results 81 to 90 of about 41,487 (244)

Multi‐objective optimization using metaheuristics: non‐standard algorithms [PDF]

International Transactions in Operational Research, 2012
AbstractIn recent years, the application of metaheuristic techniques to solve multi‐objective optimization problems has become an active research area. Solving this kind of problems involves obtaining a set ofPareto‐optimal solutions in such a way that the correspondingPareto front fulfils the requirements of convergence to the truePareto front and ...
Talbi, El-Ghazali, Basseur, Matthieu, Nebro, Antonio Jesús, Alba, Enrique   +3 more
openaire   +4 more sources

Precision Restoration to Minimize Soil Loss in a Watershed in the Atlantic Forest Domain

Land Degradation &Development, EarlyView.
ABSTRACT The Turvo River Watershed, located in the Zona da Mata region of Minas Gerais and part of the Doce River Basin, faces serious problems of erosion and soil degradation, which compromise and reduce the quality of local water resources. Given this scenario, it is essential to implement environmental recovery strategies that prioritize the ...
Rodrigo Nobre Santana, Luíza Maria Affonso Lopes da Silva, Sady Júnior Martins da Costa Menezes, Getúlio Fonseca Domingues, Carlos Antônio Alvares Soares Ribeiro, Plinio Antonio Guerra Filho, Alexandre Rosa dos Santos   +6 more
wiley   +1 more source

AI-driven hybrid metaheuristic neural network approaches for medical diagnostics

Systems and Soft Computing
In recent years, metaheuristic algorithms have gained prominence as powerful computational techniques for solving complex optimization problems across various domains, including healthcare.
Abdullah Khan, Maria Ali, Dzati Athiar Ramli   +2 more
doaj   +1 more source

Ellipsoid‐Based Interval‐Type Uncertainty Model Updating Based on Riemannian Manifold and Gaussian Process Model

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Modern engineering systems require advanced uncertainty‐aware model updating methods that address parameter correlations beyond conventional interval analysis. This paper proposes a novel framework integrating Riemannian manifold theory with Gaussian Process Regression (GPR) for systems governed by Symmetric Positive‐Definite (SPD) matrix ...
Yanhe Tao, Qintao Guo, Jin Zhou, Cheng Yi   +3 more
wiley   +1 more source

Leveraging Public Transit for Robotic Deliveries: A Column Generation Approach

Naval Research Logistics (NRL), EarlyView.
ABSTRACT Autonomous mobile robots (AMRs) are small, electric, wheeled vehicles that operate at pedestrian speeds. In the last‐mile delivery service considered in this study, a fleet of AMRs is deployed across multiple recharging depots within a service area, from which they depart to perform point‐to‐point deliveries. We consider an operational setting
Yishay Shapira, Mor Kaspi
wiley   +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, Ernestine Großmann, Christian Schulz   +2 more
wiley   +1 more source

Metaheuristics in automated machine learning: Strategies for optimization

Intelligent Systems with Applications
The present work explores the application of Automated Machine Learning techniques, particularly on the optimization of Artificial Neural Networks through hyperparameter tuning.
Francesco Zito, El-Ghazali Talbi, Claudia Cavallaro, Vincenzo Cutello, Mario Pavone   +4 more
doaj   +1 more source

Metaheuristic Algorithms Based PID Controller Tuning Approach for Inverted Pendulum System

Van Yüzüncü Yıl Üniversitesi Mühendislik Fakültesi Dergisi, 2023
Proportional, integral, derivative (PID) controllers, also known as proportional integral derivative controllers, are frequently used to regulate system outputs. PID parameter settings have a significant impact on system performance.
Ahmet Sadık Duru
doaj  

The Integration of AI, Blockchain and IoT for the Sustainable Development of the Logistics Service Industry: Insights From a PRISMA‐Based Analysis

Sustainable Development, EarlyView.
ABSTRACT This study presents an analysis of the literature on artificial intelligence (AI), blockchain and internet of things (IoT) for the sustainable development of the service industry of freight transport and logistics service providers (LSPs).
Roberto Cerchione, Renato Passaro, Matteo Tavano   +2 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