July 02, 2018 conference-paper Open access Improving the performance of MO-RV-GOMEA on problems with many objectives using tchebycheff scalarizations Genetic and Evolutionary Computation Conference (GECCO) DOI: 10.1145/3205455.3205498 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 4 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 Exploring the Search Space of Neural Network Combinations obtained with Efficient Model Stitching 2024 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Advanced Neural Network Applications Open access 1 citations Solving multi-structured problems by introducing linkage kernels into GOMEA 2022 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access 7 citations 2 results References 0