Scaling Genetic Programming for Source Code Modification [PDF]
In Search Based Software Engineering, Genetic Programming has been used for bug fixing, performance improvement and parallelisation of programs through the modification of source code. Where an evolutionary computation algorithm, such as Genetic Programming, is to be applied to similar code manipulation tasks, the complexity and size of source code for
arxiv
(Genetically) Improving Novelty in Procedural Story Generation [PDF]
Procedural story generation (PCG) tailors a unique narrative experience for a player and can be accomplished via multiple techniques, from matching storylets to grammar-based generation. There exists a rich opportunity for evolutionary algorithms to be applied to this domain for intelligently constructing game narratives.
arxiv
Chloroplast genomes: diversity, evolution, and applications in genetic engineering
Chloroplasts play a crucial role in sustaining life on earth. The availability of over 800 sequenced chloroplast genomes from a variety of land plants has enhanced our understanding of chloroplast biology, intracellular gene transfer, conservation ...
H. Daniell+3 more
semanticscholar +1 more source
Should Parents Genetically Engineer their Children? [PDF]
Imagine a world where everyone is healthy, intelligent, long living and happy. Intuitively this seems wonderful, albeit unrealistic. However, recent scientific developments in genetic engineering, namely CRISPR/Cas bring the question into public ...
Veit, Walter
core
Autophagy in cancer and protein conformational disorders
Autophagy plays a crucial role in numerous biological processes, including protein and organelle quality control, development, immunity, and metabolism. Hence, dysregulation or mutations in autophagy‐related genes have been implicated in a wide range of human diseases.
Sergio Attanasio
wiley +1 more source
Plant Genetic Resources: Selected Issues from Genetic Erosion to Genetic Engineering
Plant Genetic Resources (PGR) continue to play an important role in the development of agriculture. The following aspects receive a special consideration:1. Definition. The term was coined in 1970.
Karl Hammer, Yifru Teklu
doaj
It's the Journey Not the Destination: Building Genetic Algorithms Practitioners Can Trust [PDF]
Genetic algorithms have been developed for decades by researchers in academia and perform well in engineering applications, yet their uptake in industry remains limited. In order to understand why this is the case, the opinions of users of engineering design tools were gathered.
arxiv
Genetic Engineering Algorithm (GEA): An Efficient Metaheuristic Algorithm for Solving Combinatorial Optimization Problems [PDF]
Genetic Algorithms (GAs) are known for their efficiency in solving combinatorial optimization problems, thanks to their ability to explore diverse solution spaces, handle various representations, exploit parallelism, preserve good solutions, adapt to changing dynamics, handle combinatorial diversity, and provide heuristic search.
arxiv
A stepwise emergence of evolution in the RNA world
How did biological evolution emerge from chemical reactions? This perspective proposes a gradual scenario of self‐organization among RNA molecules, where catalytic feedback on random mixtures plays the central role. Short oligomers cross‐ligate, and self‐assembly enables heritable variations. An event of template‐externalization marks the transition to
Philippe Nghe
wiley +1 more source
An In silico Approach towards Finding the Cancer-Causing Mutations in Human MET Gene
Mesenchymal–epithelial transition (MET) factor is a proto-oncogene encoding tyrosine kinase receptor with hepatocyte growth factor (HGF) or scatter factor (SF). It is found on the human chromosome number 7 and regulates the diverse cellular mechanisms of
Fayeza Sadia Laskar+6 more
doaj +1 more source