Results 91 to 100 of about 6,033,661 (373)

An Adaptive Quantum-inspired Differential Evolution Algorithm for 0-1 Knapsack Problem

, 2010
Differential evolution (DE) is a population based evolutionary algorithm widely used for solving multidimensional global optimization problems over continuous spaces. However, the design of its operators makes it unsuitable for many real-life constrained
Hota, Ashish Ranjan, Pat, Ankit
core   +1 more source

A New Dominance Relation-Based Evolutionary Algorithm for Many-Objective Optimization

IEEE Transactions on Evolutionary Computation, 2016
Many-objective optimization has posed a great challenge to the classical Pareto dominance-based multiobjective evolutionary algorithms (MOEAs). In this paper, an evolutionary algorithm based on a new dominance relation is proposed for many-objective ...
Yuan Yuan, Hua Xu, Bo D. Wang, X. Yao
semanticscholar   +1 more source

Copy Number Variants and Their Association With Intracerebral Hemorrhage Risk: A Case–Control Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Intracerebral Hemorrhage (ICH) is a leading cause of morbidity and mortality worldwide and lacks effective therapeutic interventions. Despite previous studies, the genetic underpinnings of ICH remain poorly understood. We sought to investigate the role of copy number variants (CNVs) in ICH pathophysiology to identify novel ...
Savvina Prapiadou, Carl D. Langefeld, Padmini Sekar, Mary Comeau, Timothy Howard, Tamara N. Kimball, Chen Bowang, Hyacinth I. Hyacinth, Jonathan Rosand, Christopher D. Anderson, Caspar Grond‐Ginsbach, Daniel Woo, Stacie L. Demel   +12 more
wiley   +1 more source

A Solution to the N-Queens Problem Using Biogeography-Based Optimization

International Journal of Interactive Multimedia and Artificial Intelligence, 2017
Biogeography-based Optimization (BBO) is a global optimization algorithm based on population, governed by mathematics of biogeography, and dealing with geographical distribution of biological organisms.
Ali Habiboghli, Tayebeh Jalali
doaj   +1 more source

Multi‐Omics Integration for Advancing Glioma Precision Medicine

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Gliomas are among the most malignant and aggressive tumors of the central nervous system, characterized by the absence of early diagnostic markers, poor prognosis, and a lack of effective treatments. Advances in high‐throughput technologies have facilitated a refined molecular classification of gliomas, incorporating genetic features. However,
Maria Guarnaccia, Valentina La Cognata, Giulia Gentile, Giovanna Morello, Sebastiano Cavallaro   +4 more
wiley   +1 more source

Functional Connectivity Linked to Cognitive Recovery After Minor Stroke

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri, Isabella Dallasta, Ciaran Stone, Sophia Girgenti, Neda Gould, Rafael H. Llinas, Jonathan Z. Simon, Elisabeth Breese Marsh   +7 more
wiley   +1 more source

An Adaptation Multi-Group Quasi-Affine Transformation Evolutionary Algorithm for Global Optimization and Its Application in Node Localization in Wireless Sensor Networks

Sensors, 2019
Developing metaheuristic algorithms has been paid more recent attention from researchers and scholars to address the optimization problems in many fields of studies.
Nengxian Liu, Jeng-Shyang Pan, Jin Wang, Trong-The Nguyen   +3 more
doaj   +1 more source

An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility

IEEE Transactions on Evolutionary Computation, 2018
During the past two decades, a variety of multiobjective evolutionary algorithms (MOEAs) have been proposed in the literature. As pointed out in some recent studies, however, the performance of an MOEA can strongly depend on the Pareto front shape of the
Ye Tian, Ran Cheng, Xing-yi Zhang, Fan Cheng, Yaochu Jin   +4 more
semanticscholar   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

A novel pigeon-inspired optimization with QUasi-Affine TRansformation evolutionary algorithm for DV-Hop in wireless sensor networks

International Journal of Distributed Sensor Networks, 2020
In modern times, swarm intelligence has played an increasingly important role in finding an optimal solution within a search range. This study comes up with a novel solution algorithm named QUasi-Affine TRansformation-Pigeon-Inspired Optimization ...
Xiao-Xue Sun, Jeng-Shyang Pan, Shu-Chuan Chu, Pei Hu, Ai-Qing Tian   +4 more
doaj   +1 more source