15 papers · ranked by Valyu relevance
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…
Léo Pio‐Lopez, Benedikt Hartl, Michael Levin
Although substantial advancements are made in manipulating lifespan in model organisms, the fundamental mechanisms driving aging remain elusive. No comprehensive computational platform is capable of making predictions on aging in multicellular systems. Focus is placed on the processes that build and maintain complex…
Mohamed Issa
The effective tuning of Proportional-Integral-Derivative (PID) controllers is crucial for industrial process control, but achieving optimal parameters for complex systems remains challenging. The recent Artificial Satellite Search Algorithm (ASSA) is strong in exploration but suffers from an imbalance between global…
D. Tarunika, Ashish Sharma
Multi-objective optimization problems (MOPs) demand algorithms that effectively balance convergence, diversity, and computational efficiency. To address this challenge, a novel Multi-Objective Human Evolutionary Optimization Algorithm (MOHEOA) is proposed, inspired by the dynamics of human societal evolution. MOHEOA…
Oguz Emrah Turgut, Hadi Genceli, Mustafa Asker, Ehsan Baniasadi + 1 more
This research proposes a novel hybrid metaheuristic optimization framework that combines the Aquila Optimization algorithm with the Sine-Cosine Optimizer to find equilibrium points of reacting components under specified operational reaction conditions. The method aims to address the exploitative limitations of the…
Stefan Dendorfer, Andreas M. Kist
Neural Architecture Search (NAS)-combined with biology-inspired evolutionary methods-can help discover suitable architectures tailored to a given objective. A guided evolutionary approach can enhance efficiency, aiming to accelerate the discovery of top-performing architectures within a given search space. We propose a…
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…
Ali Asghari, Mohammadhossein Mohammadi, Heming Jia
Metaheuristic algorithms are widely used to find optimal or near-optimal solutions for complex problems by taking inspiration from natural behaviors and processes. Although many different methods have been developed, a common problem in many of them is maintaining a good balance between exploration and exploitation and…
Rolando Armas, Ariel Pincay, Cristofer Motoche-Monar, Francisco Hidrobo + 1 more
Title: Simple Summary Proteins in living organisms often act by binding to other proteins, and scientists seek to improve these interactions to better understand biological processes and develop new biotechnological applications. In this study, we redesigned the interaction between two proteins: one from a…
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…
Yue Yuan, Peiyang Wei, Zhixiang Qi, Xun Deng + 7 more
Accurate and automated identification of water bodies from satellite imagery is critical for environmental monitoring, water resource management, and disaster response. Current deep learning approaches, however, suffer from a strong dependence on manual hyperparameter tuning, which limits their automation capability…
Mohamed Elhosseny, Mahmoud Abdel-Salam, Anand Nayyar, Emre Çelik + 3 more
The Dung Beetle Optimization (DBO) algorithm is a relatively recent metaheuristic known for its simplicity, versatility, and low parameter dependence, making it a valuable tool for solving complex optimization problems. Despite its potential, DBO suffers from limitations such as slow convergence and premature…
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.…
Dhananjai VS, Sathi Sailesh Reddy, K Abhimanyu Kumar Patro, Soumya Ranjan Das
The planning of future sixth-generation (6G) wireless networks needs efficient node placement algorithms that can handle heterogeneous network deployment, high connectivity density, and competing performance requirements. Current node placement algorithms mostly use single-layer graph models and traditional…
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…