Results 131 to 140 of about 438,378 (164)

Royal Lineage Genetic Algorithm for a Better Solution to Traveling Salesman Problem

2024 23rd International Symposium INFOTEH-JAHORINA (INFOTEH)
Genetic Algorithms (GAs) are famous for solving real-world problems despite a tendency to converge prematurely. This paper introduces the Royal Lineage Genetic Algorithm (RoLiGA), a GA enhancement inspired by chromosomal inheritance in royal lineages ...
Himma Firdaus, Tri Widianti
semanticscholar   +1 more source

Genetic algorithm and application

Scientific research
Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems.
Tianyu Wei, Khuong Le, Justin Tagalogon
semanticscholar   +1 more source

Genetic Management Algorithm in High-Risk Fabry Disease Cases; especially in Female Indexes with Mutations.

Endocrine, Metabolic & Immune Disorders - Drug Targets, 2020
BACKGROUND Fabry Disease (FD, OMIM#301500) is a progressive, life-threatening, multisystemic, rare lysosomal storage disease. Today, approximately 1000 mutations are recorded in the Human Gene Mutation Database (www.hgmd.org) for GLA.
O. Sezer, S. Ceylaner
semanticscholar   +1 more source

EXA-GP: Unifying Graph-Based Genetic Programming and Neuroevolution for Explainable Time Series Forecasting

GECCO Companion
This work introduces Evolutionary eXploration of Augmenting Genetic Programs (EXA-GP), which converts the EXAMM neuroevolution algorithm into a graph-based genetic programming (GGP) algorithm by swapping out its library of neurons and recurrent memory ...
Jared Murphy, Devroop Kar, Joshua Karns, Travis J. Desell   +3 more
semanticscholar   +1 more source

Fitness inheritance in multi-objective genetic algorithms: a case study on fuzzy classification rule mining

International Journal of Advanced Intelligence Paradigms, 2022
Harihar Kalia, Satchidananda Dehuri, Ashish Ghosh   +2 more
openaire   +1 more source

Quantum Evolution in Genetic Inheritance: A Computational Framework Integrating Quantum Entanglement, Fluctuations, and Algorithmic Adaptation

We propose a quantum-theoretical model of genetic inheritance, integrating quantum fluctuations, entanglement, and an adaptive Transmission Control Protocol (TCP)-based evolutionary function. Our framework defines a genetic state density matrix that evolves via quantum operators, introducing entanglement-driven genotype correlations across generations.
openaire   +1 more source

Fitness inheritance in genetic algorithms

Proceedings of the 1995 ACM symposium on Applied computing - SAC '95, 1995
Robert E. Smith, B. A. Dike, S. A. Stegmann   +2 more
openaire   +1 more source

Algorithm-based care versus usual care for the early recognition and management of complications after pancreatic resection in the Netherlands: an open-label, nationwide, stepped-wedge cluster-randomised trial

Lancet, The, 2022
Marc Besselink, Mark J Arntz, Otto M Van Delden   +2 more
exaly  

Applying the Genetic Algorithm Concept for Determining the Inheritance Relationship between Objects in Object Oriented Languages

2023 IEEE 3rd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA), 2023
openaire   +1 more source

The Arithmetic Optimization Algorithm

Computer Methods in Applied Mechanics and Engineering, 2021
Laith Mohammad Abualigah, Ali H Diabat, Seyedali Mirjalili   +2 more
exaly