Gene-pool Optimal Mixing in Cartesian Genetic Programming | 0 | 0.34 | 2022 |
Hybridizing Hypervolume-Based Evolutionary Algorithms and Gradient Descent by Dynamic Resource Allocation | 0 | 0.34 | 2022 |
Obtaining Smoothly Navigable Approximation Sets in Bi-objective Multi-modal Optimization | 0 | 0.34 | 2022 |
Observer Variation-Aware Medical Image Segmentation By Combining Deep Learning And Surrogate-Assisted Genetic Algorithms | 0 | 0.34 | 2020 |
On explaining machine learning models by evolving crucial and compact features. | 1 | 0.35 | 2020 |
An End-To-End Deep Learning Approach For Landmark Detection And Matching In Medical Images | 0 | 0.34 | 2020 |
Fast and insightful bi-objective optimization for prostate cancer treatment planning with high-dose-rate brachytherapy. | 0 | 0.34 | 2019 |
Evolutionary Machine Learning for Multi-Objective Class Solutions in Medical Deformable Image Registration | 0 | 0.34 | 2019 |
Evolutionary multi-objective meta-optimization of deformation and tissue removal parameters improves the performance of deformable image registration of pre- and post-surgery images. | 0 | 0.34 | 2019 |
A Model-based Genetic Programming Approach for Symbolic Regression of Small Expressions. | 0 | 0.34 | 2019 |
Real-valued evolutionary multi-modal multi-objective optimization by hill-valley clustering | 1 | 0.35 | 2019 |
Multi-objective Gene-pool Optimal Mixing Evolutionary Algorithm with the Interleaved Multi-start Scheme. | 2 | 0.36 | 2018 |
Real-valued evolutionary multi-modal optimization driven by hill-valley clustering. | 4 | 0.40 | 2018 |
GAMBIT: A Parameterless Model-Based Evolutionary Algorithm for Mixed-Integer Problems. | 0 | 0.34 | 2018 |
Learning bayesian network structures with GOMEA. | 0 | 0.34 | 2018 |
Application and benchmarking of multi-objective evolutionary algorithms on high-dose-rate brachytherapy planning for prostate cancer treatment. | 4 | 0.49 | 2018 |
Benchmarking the Hill-Valley Evolutionary Algorithm for the GECCO 2018 Competition on Niching Methods Multimodal Optimization. | 0 | 0.34 | 2018 |
Unveiling evolutionary algorithm representation with DU maps. | 1 | 0.36 | 2018 |
The importance of implementation details and parameter settings in black-box optimization: a case study on Gaussian estimation-of-distribution algorithms and circles-in-a-square packing problems. | 1 | 0.36 | 2018 |
Improving the performance of MO-RV-GOMEA on problems with many objectives using tchebycheff scalarizations. | 0 | 0.34 | 2018 |
Model-based evolutionary algorithms: GECCO 2017 tutorial. | 0 | 0.34 | 2018 |
Niching an estimation-of-distribution algorithm by hierarchical Gaussian mixture learning. | 3 | 0.42 | 2017 |
A novel model-based evolutionary algorithm for multi-objective deformable image registration with content mismatch and large deformations: benchmarking efficiency and quality. | 2 | 0.41 | 2017 |
Expanding from Discrete Cartesian to Permutation Gene-pool Optimal Mixing Evolutionary Algorithms. | 4 | 0.43 | 2016 |
Smart grid initialization reduces the computational complexity of multi-objective image registration based on a dual-dynamic transformation model to account for large anatomical differences. | 0 | 0.34 | 2016 |
A first step toward uncovering the truth about weight tuning in deformable image registration. | 1 | 0.36 | 2016 |
GECCO'16 Model-Based Evolutionary Algorithms (MBEA) Workshop Chairs' Welcome. | 0 | 0.34 | 2016 |
On the usefulness of gradient information in multi-objective deformable image registration using a B-spline-based dual-dynamic transformation model: comparison of three optimization algorithms | 0 | 0.34 | 2015 |
Getting the most out of additional guidance information in deformable image registration by leveraging multi-objective optimization | 1 | 0.36 | 2015 |
In Search of Optimal Linkage Trees | 0 | 0.34 | 2015 |
Diversifying Multi-Objective Gradient Techniques and their Role in Hybrid Multi-Objective Evolutionary Algorithms for Deformable Medical Image Registration | 0 | 0.34 | 2015 |
Exploiting Linkage Information and Problem-Specific Knowledge in Evolutionary Distribution Network Expansion Planning | 3 | 0.43 | 2015 |
A Clustering-Based Model-Building EA for Optimization Problems with Binary and Real-Valued Variables | 1 | 0.35 | 2015 |
A multi-resolution strategy for a multi-objective deformable image registration framework that accommodates large anatomical differences | 0 | 0.34 | 2014 |
Combining Model-Based Eas For Mixed-Integer Problems | 1 | 0.38 | 2014 |
A novel population-based multi-objective CMA-ES and the impact of different constraint handling techniques. | 1 | 0.36 | 2014 |
Multi-objective gene-pool optimal mixing evolutionary algorithms. | 5 | 0.46 | 2014 |
Market Garden: A Simulation Environment for Research and User Experience in Smart Grids. | 0 | 0.34 | 2014 |
Efficiency enhancements for evolutionary capacity planning in distribution grids. | 0 | 0.34 | 2014 |
Practice-oriented optimization of distribution network planning using metaheuristic algorithms | 4 | 0.60 | 2014 |
Medium-Voltage Distribution Network Expansion Planning With Gene-Pool Optimal Mixing Evolutionary Algorithms | 4 | 0.68 | 2013 |
Deformable image registration by multi-objective optimization using a dual-dynamic transformation model to account for large anatomical differences | 3 | 0.44 | 2013 |
Market Garden: A Scalable Research Environment for Heterogeneous Electricity Markets. | 1 | 0.43 | 2013 |
Benchmarking parameter-free amalgam on functions with and without noise | 2 | 0.38 | 2013 |
Learning the neighborhood with the linkage tree genetic algorithm | 0 | 0.34 | 2012 |
Evolvability analysis of the linkage tree genetic algorithm | 3 | 0.40 | 2012 |
Predetermined versus learned linkage models | 3 | 0.52 | 2012 |
On Gradients and Hybrid Evolutionary Algorithms for Real-Valued Multiobjective Optimization | 27 | 0.97 | 2012 |
On measures to build linkage trees in LTGA | 3 | 0.38 | 2012 |
Multi-objective optimization for deformable image registration: proof of concept | 4 | 0.48 | 2012 |