26 papers · ranked by Valyu relevance
M. Rajalakshmi, S. Ponni Alias Sathya
Healthcare, business, and the military employ wireless sensor networks (WSNs). Unfortunately, these networks have power supply, storage, and computing restrictions for sensor nodes. To overcome these difficulties, enhance energy efficiency, and extend network lifetime, we present a novel Pareto-based Genetic Algorithm…
Alireza Rezaee
This paper presents a genetic algorithm (GA) approach to cost-optimal task scheduling in a production line. The system consists of a set of serial processing tasks, each with a given duration, unit execution cost, and precedence constraints, which must be assigned to an unlimited number of stations subject to a…
Leszek Śliwko
This paper presents a reinforced genetic approach to a defined d-resource system optimization problem. The classical evolution schema was ineffective due to a very strict feasibility function in the studied problem. Hence, the presented strategy has introduced several modifications and adaptations to standard genetic…
Yukai Hao, Jiao Wu, Zhiheng Zhang, Yuanhao Wang + 3 more
To address the aging and failure issues that arise during the long-term operation of insulated gate bipolar transistors (IGBTs), this paper proposes a method for predicting their remaining useful life (RUL). The proposed method utilizes a genetic algorithm to optimize a hybrid model that combines a convolutional neural…
Isaac Robledo, Yiqing Li, Guy Y. Cornejo Maceda, Rodrigo Castellanos
The Hybrid Genetic Optimisation framework (HyGO) is introduced to meet the pressing need for efficient and unified optimisation frameworks that support both parametric and functional learning in complex engineering problems. Evolutionary algorithms are widely employed as derivative-free global optimisation methods but…
Zhiyong Chen, Chi Tu, Haifeng Sun, Xia Kang + 3 more
Mask optimization is a critical technique for enhancing imaging performance in digital micromirror device (DMD)-based maskless lithography. Conventional algorithms, however, often suffer from slow convergence and limited adaptability, particularly when handling complex multi-feature mask patterns. To address these…
Zhuo Dai, Yefu Zhou, Bibhas Chandra Giri
In supply chain management, the location of facilities, inventory control, and vehicle routing are three key components. This paper incorporates a two-warehouse inventory system into the location- inventory-routing problems (LIRPs) and develops LIRP models with two warehouses in one-level, two-level, and three-level…
Authors not listed
Finding the most stable adsorption geometry of a flexible molecule on a catalytic surface remains a key challenge due to the high dimensionality and ruggedness of the potential energy surface. We present a Gradient-Enhanced Genetic Algorithm (GE-GA) for the global optimization of adsorbate–surface configurations…
Bilal Naji Alhasnawi, Sabah Mohammed Mlkat Almutoki, Hayder Khenyab Hashim, Abdellatif M. Sadeq + 8 more
Although renewable energy sources offer enormous potential to improve environmental sustainability, maximizing economic benefits inside microgrids requires resolving their intermittency and irregularity. A viable alternative is to combine energy storage with renewable energy technologies. This article introduced a…
Ana F. Hernández, Andrej Franulic, Fernando Jiménez
The optimal allocation of academic resources to individual students is essential for addressing learner diversity and fostering equitable educational outcomes. Within the framework of the Erasmus+ KA220-SCH project, this paper models the selection of educational materials for high school mathematics students as a 0--1…
Bliss Cui, Peter Bex
Affect recognition and communication are critical for everyday social interaction. Traditional emotion research has often assumed that facial expressions reliably reflect internal emotional states and conform to a set of universal expressions. However, emerging evidence suggests that facial expressions are highly…
Marcelo Becerra-Rozas, Bady Gana, José Lara, Andres Leiva-Araos + 8 more
Optimal surgical scheduling necessitates a strategic balance between elective efficiency and responsiveness to stochastic emergency arrivals. This study evaluates a Genetic Algorithm alongside discretized variants of Particle Swarm Optimization, the Secretary Bird Optimization Algorithm, and the Mantis Shrimp…
Authors not listed
Mesoporous adsorbent materials offer a large volumetric capacity; however, cyclic adsorption/desorption processes in these systems often suffer from hysteresis and may require a significant pressure swing to access this capacity. To mitigate hysteresis, a proposed strategy is to include nucleation sites on the walls of…
Marcus W. Dreisler, Richard Michael, Nikos Hatzakis, Wouter Boomsma
Small-molecule lead refinement is constrained by the cost of synthesizing and assaying candidates, making the surrogate models that prioritize compounds for experimental testing central to the design process. The reliability of such surrogates is limited by the noise and sparsity of screening measurements. We show that…
Amaras Nazarians, Sachin Kumar
—Hyperparameter tuning is a critical yet computationally expensive step in training neural networks, particularly when the search space is high dimensional and nonconvex. Metaheuristic optimization algorithms are often used for this purpose due to their derivative free nature and robustness against local optima. In…
Juping Shao, Fan Gao, Yanan Sun, Erfan Babaee Tirkolaee
With the growing demand for fresh agricultural products, improving the efficiency and sustainability of cold-chain distribution has become increasingly important. Multi-temperature joint distribution provides an effective solution for serving products with different temperature requirements, yet its implementation…
Nam Hai Le
The gene-centric paradigm, formalized in the Modern Synthesis and operationalized through genetic algorithms, attributes evolutionary causality exclusively to genes; organisms are passive vehicles for genetic replication. Denis Noble's phenotype-first framework challenges this view, arguing that organisms are active…
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…
Alex Bogdan
Many real-world optimization problems are not naturally homogeneous vectors but composite design objects with heterogeneous parameters: integers, real values, Booleans, categoricals, complex-valued descriptors, and embedding vectors. Standard evolutionary algorithms flatten these into a single chromosome and apply…
Authors not listed
Molecular generation for pharmaceutical and agrochemical development remains computationally expensive and statistically under-validated. We conducted a comprehensive benchmark of five molecular generation methods—Genetic Algorithm, Proximal Policy Optimization (PPO), REINFORCE, Transformer-based generation, and random…
Kangbien Park
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 the experimental methodologies—or logics—that can address potential challenges throughout the evolutionary process. In this article, I…
Vaibhav Mohanty, Anna Sappington, Eugene I. Shakhnovich, Bonnie Berger
Classical population genetics has largely relied on the same stochastic differential equations (SDEs) for over 60 years to describe evolutionary dynamics. However, these SDEs ignore the fact that phenotype heterogeneity and noise are ubiquitous in biological systems from bacteria to cancers. Here, we develop…
Kangbien Park
Humans have long employed directed evolution (DE) to engineer desired biological traits. In this paper, I introduce an algebraic framework that provides a quantitative representation of the general phenotypic traits of asexual populations, enabling the systematic modeling of DE processes. Within this framework, key…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…
Mauricio González-Forero
Mathematically integrating genetics, development, and evolution is a longstanding challenge. Here I develop general mathematical theory that integrates sexual, discrete, multilocus genetics, development, and evolution. This yields an exact method to describe the evolutionary dynamics of allele frequencies and linkage…
Authors not listed
RNA droplets assembled from co-transcriptionally folded nanostructures have recently emerged as a promising platform for constructing protocells and minimal synthetic cell models. In these systems, a custom-designed DNA template encodes an RNA nanostar, which is produced by transcription and self-assembles into…