Abstract: This article presents a novel knowledge-based genetic algorithm (GA) to generate a collision-free path in complex environments. The proposed algorithm infuses specific domain knowledge into ...
Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 610054, China Department of Computer Science, Abdul Wali Khan University Mardan, ...
Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...
Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...
In the modern digital age, managing and extracting information from extensive PDF documents can be a daunting task. However, with the advancement of AI technology, tools like Bing AI in Microsoft Edge ...
ABSTRACT: An intelligent crossover methodology within the genetic algorithm (GA) is explored within both mathematical and finite element arenas improving both design and solution convergence time.
Abstract: Evolutionary algorithms (EAs), such as the genetic algorithm (GA), offer an elegant way to handle combinatorial optimization problems (COPs). However, limited by expertise and resources, ...
This research was supported by the MIT-IBM Watson AI Lab, Army Research Office (ARO) Grant W911NF-17-1-0384, and NIH Grants P41EB027062 and U01 EB014976. E.K. acknowledges support from NSF Graduate ...
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