13 papers · ranked by Valyu relevance
N. Jayalakshmi, K. Sakthivel
To achieve robust and user friendly software, it is crucial to make sure that Graphical User Interfaces (GUI) is of quality and reliable. The paper suggests a new method of Quasi-Oppositional Genetic Sparrow Search Algorithm (OOGSSA) of generating test cases efficiently in GUI. The ultimate goal is to have…
Innocent Sibanda, Geoff Nitschke
The goal of bioengineering in synthetic biology is to redesign, reprogram, and rewire biological systems for specific applications using standardized parts such as promoters and ribosomes. For example, bioengineered micro-organisms capable of cleaning up environmental pollution or producing antibodies de novo to defend…
Csenge Petak, Lapo Frati, Renske M. A. Vroomans, Melissa H. Pespeni + 1 more
Title: Significance The speed and direction of evolution depend on the availability of phenotypic variation. Genotype-to-phenotype maps can, over time, bias phenotypic variability to more readily produce alternative adaptive phenotypes in fluctuating environments. However, because properties of the fitness landscapes…
Kushagra Tiwary, Aaron Young, Zaid Tasneem, Tzofi Klinghoffer + 5 more
Natural selection has produced diverse vision systems, from simple patches of photoreceptors to complex camera eyes, representing just one set of evolutionary outcomes. Computational evolution offers a way to systematically test hypotheses, isolate individual factors, and ask the “why” questions behind vision. We…
Maxim Sakharov, Heming Jia
Memetic algorithms achieve strong optimization performance by combining population-based global search with local refinement operators, yet their effectiveness critically depends on the design and management of memes. Local search strategies are typically handcrafted, problem-specific, and fixed prior to execution.…
Roberto Latorre, Miguel Brun-Usan, Gloria Fernández-Lázaro, Tzen-Yuh Chiang
Microevolution and macroevolution describe evolutionary change at different scales: short-term genetic and phenotypic variation within populations, and long-term patterns of diversification and extinction. Despite their interconnected nature, they have often been studied separately, and the reciprocal causal links…
Na Li, Zi Miao, Sha Zhou, Haoxiang Zhou + 3 more
The Educational Competition Optimizer (ECO) formulates search as a three-stage didactic process-primary, secondary and tertiary learning-but the original framework suffers from scarce information exchange, sluggish late-stage convergence and an unstable exploration-exploitation ratio. We present EECO, which introduces…
Kangbien Park, Jiapeng Liu
Directed evolution of asexual populations is expected to offer a wide range of benefits to humanity. Achieving efficient directed evolution (DE) requires a quantitative formulation of experimental methodologies-or logics-that can address potential challenges throughout the evolutionary process. In this article, ten…
Olivia Gallup, Harrison Steel
In the past decades, a wide suite of design tools for biological systems has been developed, but using these to create biotechnologies that achieve reliable and predictable behaviour remains challenging. Modelling approaches have enabled researchers to traverse the vast search space of genetic circuits more…
S.I. Bartsev
of the evolutionary process Функциональная симметрия и воспроизводимость эволюционного процесса Authors: S.I. Bartsev The question on the reproducibility of evolutionary processes is primarily of fundamental importance; however, with the development of methods for modeling evolutionary processes on computer multilevel…
Zulfukar Aytac Kisman, Gokhan Demir, Hande Yuksel, Bilal Alatas + 1 more
Association rule mining is a fundamental data mining technique for uncovering latent relationships among variables in large-scale datasets. However, conventional approaches rely on single-metric filtering strategies, which are insufficient for capturing the inherent multi-criteria nature of rule quality. To address…
Lewis Grozinger, Jesuś Miró-Bueno, Ángel Goñi-Moreno
The programming of computations in living cells is achieved by manipulating information flows within genetic networks. Typically, gene expression is discretized into high and low levels, representing 0 and 1 logic values to encode a single bit of information. However, molecular signalling and computation in living…
Panagiotis Mougkogiannis, Andrew Adamatzky
on Aragonite Substrates Authors: Panagiotis Mougkogiannis, Andrew Adamatzky Aragonite-proteinoid microstructures are an emerging type of biocomputing material. They mix inorganic calcium carbonate with self-assembled organic proteinoid networks. Scanning electron microscopy shows a range of structures. These include…