Results 51 to 60 of about 3,003,352 (244)

Evaluating evolutionary algorithms

Artificial Intelligence, 1996
AbstractTest functions are commonly used to evaluate the effectiveness of different search algorithms. However, the results of evaluation are as dependent on the test problems as they are on the algorithms that are the subject of comparison. Unfortunately, developing a test suite for evaluating competing search algorithms is difficult without clearly ...
L. Darrell Whitley, Soraya B. Rana, John Dzubera, Keith E. Mathias   +3 more
openaire   +2 more sources

Evolving temporal fuzzy itemsets from quantitative data with a multi-objective evolutionary algorithm [PDF]

, 2011
We present a novel method for mining itemsets that are both quantitative and temporal, for association rule mining, using multi-objective evolutionary search and optimisation.
Gongora, Mario A., Matthews, Stephen G., Gongora, M. A., Gongora, Mario Augusto, Stephen G. Matthews, Hopgood, Adrian, Matthews, S. G., Hopgood, Adrian A., Adrian A. Hopgood, Mario A. Gongora   +9 more
core   +1 more source

A Novel Multi-Objective Hybrid Evolutionary-Based Approach for Tuning Machine Learning Models in Short-Term Power Consumption Forecasting

AI
Accurately forecasting power consumption is crucial important for efficient energy management. Machine learning (ML) models are often employed for this purpose. However, tuning their hyperparameters is a complex and time-consuming task.
Aleksei Vakhnin, Ivan Ryzhikov, Harri Niska, Mikko Kolehmainen   +3 more
doaj   +1 more source

Extracellular matrix remodeling and immune reprogramming drive residual tumor progression of liver cancer after incomplete microwave ablation

Molecular Oncology, EarlyView.
Incomplete microwave ablation (iMWA) of liver cancer triggers a biphasic progression in residual tumors. At Day 3, the microenvironment is characterized by acute inflammatory responses and extracellular matrix (ECM) remodeling. By Day 14, a profound shift occurs toward oncogenic signal transduction and immunosuppression, marked by macrophage ...
Yu Liu, Yubei He, Nikolaus Berndt, Michael Mülleder, Kathrin Textoris‐Taube, Jing Guo, Matthias Stechele, Justus Ramtke, Shraga Nahum Goldberg, Lynn Jeanette Savic   +9 more
wiley   +1 more source

Unique circulating miRNAome signatures captured with distinct molecular states in Lynch syndrome and sporadic colorectal cancer

Molecular Oncology, EarlyView.
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso, Md Shohel Ul Islam, Rosa M Xicola, Raj Ramesar, Xavier Llor, Sinclair Steele   +5 more
wiley   +1 more source

Analysis of Ausubel auctions by means of evolutionary computation [PDF]

, 2005
IEEE Congress on Evolutionary Computation. Edimburgo, 2-5 September 2005The increasing use of auctions has led to a growing interest in the subject.
Sáez, Yago, Mochón, Asunción, Quintana, David, Sáez Achaerandio, Yago, Quintana Montero, David, Isasi, Pedro, Isasi Viñuela, Pedro, A. Mochon, D. Quintana, P. Isasi, Y. Saez   +10 more
core   +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

Particle Swarm Optimization with Independent Adaptive Parameter Adjustment

Jisuanji kexue yu tansuo, 2020
Aiming at the problems that traditional particle swarm optimization (PSO) algorithm is prone to fall into local optimum and depends on the value of parameters when solving complex optimization problems, an independent adaptive parameter adjustment ...
ZHANG Qiwen, WEI Yachen
doaj   +1 more source

Transcripts enriched in codons that trigger P‐site tRNA‐mediated mRNA decay possess stable mRNA

FEBS Open Bio, EarlyView.
PTMD codons were first described by Mendel et al. as mediators of an mRNA decay pathway dependent on the human protein CNOT3, homologous to yeast Not5. Our findings confirm that PTMD codons destabilize transcripts; however, unlike in yeast, the human pathway specifically targets and slightly destabilizes primarily stable mRNAs.
Rodolfo Lopes Carneiro, Fernando Lucas Palhano   +1 more
wiley   +1 more source

Self-adaptation of mutation distribution in evolutionary algorithms [PDF]

, 2007
This paper is posted here with permission from IEEE - Copyright @ 2007 IEEEThis paper proposes a self-adaptation method to control not only the mutation strength parameter, but also the mutation distribution for evolutionary algorithms. For this purpose,
Yang, S, Tinos, Renato, Shengxiang Yang, Tinos, R, Renato Tinos, Yang, Shengxiang   +5 more
core   +1 more source