Suchergebnisse - (automatisation OR automation) programming general terms algorithms keywords genetic programming~

A surrogate-assisted dual-tree genetic programming framework for dynamic resource constrained multi-project scheduling problem.

Autoren: Chen, HaoJie Li, XinYu Gao, Liang

Quelle: International Journal of Production Research; Aug2024, Vol. 62 Issue 16, p5631-5653, 23p

Schlagwörter: GENETIC programming, DYNAMIC programming, SCHEDULING

EvoDevo: Bioinspired Generative Design via Evolutionary Graph-Based Development.

Autoren: Tahernezhad-Javazm, Farajollah Colligan, Andrew Friel, Imelda et al.

Quelle: Algorithms; Aug2025, Vol. 18 Issue 8, p467, 34p

Schlagwörter: EVOLUTIONARY developmental biology, GRAPH neural networks, TECHNOLOGICAL innovations, GENETIC programming, BIOMIMETICS, SELF-organizing systems

Learn to optimise for job shop scheduling: a survey with comparison between genetic programming and reinforcement learning: Learn to optimise for job shop scheduling: a survey...: M. Xu et al.

Autoren: Xu, Meng Mei, Yi Zhang, Fangfang et al.

Quelle: Artificial Intelligence Review; Jun2025, Vol. 58 Issue 6, p1-53, 53p

Schlagwörter: PRODUCTION scheduling, GENETIC programming, MANUFACTURING processes, SCHEDULING

Genetic Programming to Optimize 3D Trajectories.

Autoren: Kotze, André Hildemann, Moritz Jan Santos, Vítor et al.

Quelle: ISPRS International Journal of Geo-Information; Aug2024, Vol. 13 Issue 8, p295, 27p

Schlagwörter: TRAJECTORY optimization, GENETIC programming, EVOLUTIONARY algorithms, ROUTING algorithms, ARTIFICIAL intelligence

Estimation of Distribution Algorithm for Grammar-Guided Genetic Programming.

Autoren: Criado, Pablo Ramos Rolanía, D. Barrios de la Hoz, David et al.

Quelle: Evolutionary Computation; Winter2024, Vol. 32 Issue 4, p339-370, 32p

Schlagwörter: DISTRIBUTION (Probability theory), GENETIC algorithms, EVOLUTIONARY algorithms, CURIOSITY, GENETIC variation, GENETIC programming

Automatic Generation of Moodle Cloze Questions for the Assessment of Knowledge About Lexical Analysis Algorithms.

Autoren: Izquierdo-Amo, Roberto Barbero-Aparicio, José Antonio Garrido-Labrador, José Luis et al.

Quelle: Education Sciences; Jan2025, Vol. 15 Issue 1, p75, 30p

Schlagwörter: GENETIC programming, FINITE state machines, GENE expression, FORMAL languages, PROBLEM solving

Traffic Classification in Software-Defined Networking Using Genetic Programming Tools.

Autoren: Margariti, Spiridoula V. Tsoulos, Ioannis G. Kiousi, Evangelia et al.

Quelle: Future Internet; Sep2024, Vol. 16 Issue 9, p338, 17p

Schlagwörter: SOFTWARE-defined networking, GENETIC programming, GENETIC algorithms, TRAFFIC engineering, GENETIC techniques

Semantic-based recombination and mutation in cellular-inspired genetic programming.

Autoren: Rovito, Luigi Bonin, Lorenzo Farinati, Davide et al.

Quelle: Genetic Programming & Evolvable Machines; 11/19/2025, Vol. 26 Issue 2, p1-39, 39p

Refining Integration-by-Parts Reduction of Feynman Integrals with Machine Learning.

Autoren: von Hippel, Matt Wilhelm, Matthias

Quelle: Journal of High Energy Physics; May2025, Vol. 2025 Issue 5, p1-26, 26p

Schlagwörter: LANGUAGE models, ARTIFICIAL intelligence, GENETIC programming, FEYNMAN integrals, PARTICLE physics

Dynamical Sphere Regrouping Particle Swarm Optimization Programming: An Automatic Programming Algorithm Avoiding Premature Convergence.

Autoren: Montes Rivera, Martín Guerrero-Mendez, Carlos Lopez-Betancur, Daniela et al.

Quelle: Mathematics (2227-7390); Oct2024, Vol. 12 Issue 19, p3021, 53p

Schlagwörter: MACHINE learning, GENETIC programming, MATHEMATICAL mappings, MATHEMATICAL models, ALGORITHMS

A HYBRID GP-GWO FRAMEWORK FOR ENHANCED PERFORMANCE OF ROTARY DRYING SYSTEMS.

Autoren: MUDAFALE, KRUNAL KALITA, KANAK CEP, ROBERT et al.

Quelle: MM Science Journal; Mar2025, p8147-8153, 7p

Schlagwörter: GREY Wolf Optimizer algorithm, GENETIC programming, SEPARATION (Technology), PROCESS optimization, ENERGY consumption

Developing an Alternative Calculation Method for the Smart Readiness Indicator Based on Genetic Programming and Linear Regression.

Autoren: Beras, Mitja Brezočnik, Miran Župerl, Uroš et al.

Quelle: Buildings (2075-5309); May2025, Vol. 15 Issue 10, p1675, 36p

Schlagwörter: GENETIC programming, LINEAR programming, BUILDING envelopes, VENTILATION, GENETIC models

Introducing look-ahead into relocation rules generated with genetic programming for the container relocation problem.

Autoren: Ɖurasević, Marko Ɖumić, Mateja Gil Gala, Francisco Javier et al.

Quelle: Genetic Programming & Evolvable Machines; 9/2/2025, Vol. 26 Issue 2, p1-39, 39p

Providing Models of the Compressive Strength of Square and Rectangular (S/R) Concrete Confined Using Genetic Programming.

Autoren: Moodi, Yaser

Quelle: Numerical Methods in Civil Engineering (NMCE); Mar2025, Vol. 9 Issue 3, p16-27, 12p

Schlagwörter: CONCRETE columns, COMPRESSIVE strength, GENETIC programming, FIBER-reinforced plastics, STRUCTURAL engineers

Hybrid quantum search with genetic algorithm optimization.

Autoren: Ardelean, Sebastian Mihai Udrescu, Mihai

Quelle: PeerJ Computer Science; Aug2024, p1-27, 27p

Schlagwörter: GENETIC algorithms, GENETIC programming, QUANTUM computing, SEARCH algorithms, GERMPLASM, QUANTUM computers

A co-evolutionary algorithm with adaptive penalty function for constrained optimization.

Autoren: de Melo, Vinícius Veloso Nascimento, Alexandre Moreira Iacca, Giovanni

Quelle: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Oct2024, Vol. 28 Issue 19, p11343-11376, 34p

Schlagwörter: CONSTRAINED optimization, SWARM intelligence, METAHEURISTIC algorithms, GENETIC programming, CONSTRAINT algorithms

Modeling Delays at Signalized Intersections under Mixed Traffic Conditions.

Autoren: Beura, Sambit Kumar Rao, K. Ramachandra

Quelle: Journal of Transportation Engineering. Part A. Systems; Jul2025, Vol. 151 Issue 7, p1-13, 13p

Schlagwörter: SIGNALIZED intersections, GENETIC programming, TIME delay estimation, ARTIFICIAL intelligence, FIELD research

Evolutionary and Sparse Regression Approach for Data-Driven Modelling of an Overhead Crane Dynamics.

Autoren: Kusznir, Tom Smoczek, Jarosław Karwat, Bolesław

Quelle: Advances in Science & Technology Research Journal; 2024, Vol. 18 Issue 4, p282-295, 14p

Schlagwörter: CRANES (Machinery), SYMBOLIC dynamics, POLYNOMIAL chaos, GENETIC programming, STATISTICAL accuracy, REAL-time control

Tree‐Based Pipeline Optimization‐Based Automated‐Machine Learning Model for Performance Prediction of Materials and Structures: Case Studies and UI Design.

Autoren: Liang, Shixue Fei, Zhengyu Wu, Junning et al.

Quelle: Structural Control & Health Monitoring; 11/4/2024, Vol. 2024, p1-17, 17p

Schlagwörter: MACHINE learning, CIVIL engineering, GENETIC programming, MACHINE performance, PREDICTION models, MORTAR

Novel explicit models for assessing the frictional resistance of pipe piles subjected to seismic effects.

Autoren: Al-Jeznawi, Duaa Sadik, Laith Alzabeebee, Saif et al.

Quelle: Journal of Safety Science & Resilience; Mar2025, Vol. 6 Issue 1, p29-37, 9p

Schlagwörter: GENETIC programming, FRICTIONAL resistance (Hydrodynamics), GEOTECHNICAL engineering, KEY performance indicators (Management), ACCURACY, PILES & pile driving