Results 151 to 160 of about 57,703 (300)

An Adaptive Genetic Algorithm for Solving N-Queens Problem

, 2017
In this paper a Metaheuristic approach for solving the N-Queens Problem is introduced to find the best possible solution in a reasonable amount of time. Genetic Algorithm is used with a novel fitness function as the Metaheuristic.
Nag, Sayan, Sarkar, Uddalok
core  

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source

Metaheuristic approaches to virtual machine placement in cloud computing: a review [PDF]

, 2016
Alboaneen, Dabiah Ahmed, Tianfield, Huaglory, Zhang, Yan   +2 more
core   +1 more source

Clinically Deployable Handwriting Biomarkers of Parkinson's Disease via Multiscale Attention and Bayesian–Genetic Optimization

Brain and Behavior, Volume 16, Issue 5, May 2026.
Tablet‐based handwriting tasks (spiral, meander, and wave) are transformed into unified images and analyzed using PD‐MGMA‐DSCNN, a lightweight multiscale gated attention network. Bayesian–genetic optimization improves performance, while SHAP attribution maps provide interpretable handwriting biomarkers for Parkinson's disease screening.
Khosro Rezaee, Ali Khalili Fakhrabadi
wiley   +1 more source

Study of Convergence in Metaheuristics Algorithms

Baltic Journal of Modern Computing, 2019
Donatas Kavaliauskas, Leonidas Sakalauskas   +1 more
openaire   +1 more source

Application of test functions for the evaluation of metaheuristic algorithms [PDF]

, 2015
Kâroly Jármai, Gábor Zoltán Marcsák, Csaba Barcsák   +2 more
openalex  

Where Tech Meets the SDGs: A Supply‐Chain Process Map for Sustainability Management

Corporate Social Responsibility and Environmental Management, Volume 33, Issue 3, Page 4451-4481, May 2026.
ABSTRACT This study investigates how advanced technologies support Sustainable Development Goals (SDGs) within supply chain management (SCM) through a structured analysis of 4448 sustainable practices. By integrating perspectives from sustainability‐oriented innovation (SOI) and contingent dynamic capabilities, the research conceptualizes technology ...
Vincenzo Varriale, Antonello Cammarano, Moacir Godinho‐Filho   +2 more
wiley   +1 more source

Prescriptive tool for zero-emissions building fenestration design using hybrid metaheuristic algorithms [PDF]

Rosana Caro, Lorena Cruz, Arturo Martínez, Pablo S. Naharro, Santiago Muelas, Kevin King Sancho, Elena Cuerda, María del Mar Barbero–Barrera, Antonio LaTorre   +8 more
openalex   +1 more source

Decision letter for "Reliability evaluation of smart grid using various classic and metaheuristic clustering algorithms considering system uncertainties"

, 2021

openalex   +1 more source

Adaptive Hybrid Multi‐Objective Evolutionary Algorithm for Wireless Sensor Network Optimization: A Comprehensive Framework Integrating Opposition‐Based Learning and Levy Flight Strategies

Engineering Reports, Volume 8, Issue 5, May 2026.
The configuration of WSN design parameters presents a formidable multi‐objective optimization challenge characterized by five competing objectives that exhibit complex interdependencies. Figure 1 illustrates a typical WSN deployment topology showing sensor nodes, cluster heads, coverage areas, and various network conditions including out‐of‐range ...
Sandeep Deshmukh, Deepak Chandra Uprety, Mohd Haroon, Dyuti Banerjee, Preety Shoran, Yash Varshney, Anurag Sinha, Samarth Sinha, Shantanu Kumar Mishra   +8 more
wiley   +1 more source