December 10, 2019 article Open access Parameter identification for symbolic regression using nonlinear least squares Genetic Programming and Evolvable Machines DOI: 10.1007/s10710-019-09371-3 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 124 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access A Better Multi-Objective GP-GOMEA - But do we Need it? 2025 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Evolutionary Algorithms and Applications Open access 0 citations Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals 2024 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access 2 citations Simultaneous Model-Based Evolution of Constants and Expression Structure in GP-GOMEA for Symbolic Regression 2024 Lecture notes in computer science conference-paper Computer Science Evolutionary Algorithms and Applications Open access 3 citations Mini-Batching, Gradient-Clipping, First- versus Second-Order: What Works in Gradient-Based Coefficient Optimisation for Symbolic Regression? 2023 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access 8 citations 4 results References 0