Results 51 to 60 of about 2,283,559 (289)

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

A Combination of Feature Selection and Random Forest Techniques to Solve a Problem Related to Blast-Induced Ground Vibration

Applied Sciences, 2020
In mining and civil engineering applications, a reliable and proper analysis of ground vibration due to quarry blasting is an extremely important task. While advances in machine learning led to numerous powerful regression models, the usefulness of these
Hong Zhang, Jian Zhou, Danial Jahed Armaghani, M. M. Tahir, Binh Thai Pham, Van Van Huynh   +5 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

Investigating the Applications of Machine Learning Techniques to Predict the Rock Brittleness Index

Applied Sciences, 2020
Despite the vast usage of machine learning techniques to solve engineering problems, a very limited number of studies on the rock brittleness index (BI) have used these techniques to analyze issues in this field.
Deliang Sun, Mahshid Lonbani, Behnam Askarian, Danial Jahed Armaghani, Reza Tarinejad, Binh Thai Pham, Van Van Huynh   +6 more
doaj   +1 more source

A Cellular Automata Models of Evolution of Transportation Networks [PDF]

Computer Science, 2002
We present a new approach to modelling of transportation networks. Supply of resources and their influence on the evolution of the consuming environment is a princqral problem considered.
Mariusz Paszkowski, Pawel Topa
doaj  

Leveraging Evolutionary Algorithms for Feasible Hexapod Locomotion Across Uneven Terrain

Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022
Optimizing gait stability for legged robots is a difficult problem. Even on level surfaces, effectively traversing across different textures (e.g., carpet) rests on dynamically tuning parameters in multidimensional space.
Jack Vice, Gita Sukthankar, Pamela K. Douglas   +2 more
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

Robust Adaptive Sliding Mode-Based Frequency Control for Nonlinear Thermal Power Systems With Boiler Dynamics

IEEE Access
This paper proposes a robust load frequency control (LFC) strategy for nonlinear thermal power systems (TPS). Unlike conventional LFC models, the developed system explicitly incorporates governor dead band, generation rate constraint, and boiler dynamics,
Anh-Tuan Tran, Van Van Huynh, Cong-Trang Nguyen, Ark Dev   +3 more
doaj   +1 more source