| Injecting Domain Knowledge In Multi-Objective Optimization Problems: A Semantic Approach | 0 | 0.34 | 2021 |
| Reconstruction Of Gene Regulatory Networks With Multi-Objective Particle Swarm Optimisers | 0 | 0.34 | 2021 |
| A Tutorial On The Design, Experimentation And Application Of Metaheuristic Algorithms To Real-World Optimization Problems | 1 | 0.40 | 2021 |
| TITAN: A knowledge-based platform for Big Data workflow management | 0 | 0.34 | 2021 |
| Sequoya: Multi-objective multiple sequence alignment in Python. | 0 | 0.34 | 2020 |
| Optimizing ligand conformations in flexible protein targets: a multi-objective strategy | 0 | 0.34 | 2020 |
| A multi-objective interactive dynamic particle swarm optimizer | 0 | 0.34 | 2020 |
| On the design of a framework integrating an optimization engine with streaming technologies | 0 | 0.34 | 2020 |
| Multi-objective ligand-protein docking with particle swarm optimizers. | 1 | 0.35 | 2019 |
| jMetalPy: A Python framework for multi-objective optimization with metaheuristics. | 8 | 0.59 | 2019 |
| Automatic configuration of NSGA-II with jMetal and irace. | 1 | 0.36 | 2019 |
| Inference of gene regulatory networks with multi-objective cellular genetic algorithm. | 1 | 0.35 | 2019 |
| BIGOWL: Knowledge centered Big Data analytics. | 2 | 0.45 | 2019 |
| Analyze, Sense, Preprocess, Predict, Implement, and Deploy (ASPPID): An incremental methodology based on data analytics for cost-efficiently monitoring the industry 4.0 | 1 | 0.36 | 2019 |
| A novel multi-objective evolutionary algorithm with fuzzy logic based adaptive selection of operators: FAME. | 10 | 0.49 | 2019 |
| Bio-inspired optimization for the molecular docking problem: State of the art, recent results and perspectives | 0 | 0.34 | 2019 |
| Multi-objective Metaheuristics for a Flexible Ligand-Macromolecule Docking Problem in Computational Biology. | 0 | 0.34 | 2018 |
| Merge Nondominated Sorting Algorithm for Many-Objective Optimization | 0 | 0.34 | 2018 |
| Scalable Inference of Gene Regulatory Networks with the Spark Distributed Computing Platform. | 1 | 0.35 | 2018 |
| About Designing an Observer Pattern-Based Architecture for a Multi-objective Metaheuristic Optimization Framework. | 0 | 0.34 | 2018 |
| InDM2: Interactive Dynamic Multi-Objective Decision Making Using Evolutionary Algorithms. | 1 | 0.35 | 2018 |
| Decision Making in Industry 4.0 Scenarios Supported by Imbalanced Data Classification. | 0 | 0.34 | 2018 |
| MORPHY: A Multiobjective Software Tool for Phylogenetic Inference of Protein Coded Sequences | 0 | 0.34 | 2018 |
| jMetalSP: A framework for dynamic multi-objective big data optimization. | 6 | 0.41 | 2018 |
| Multi-objective Design of Time-Constrained Bike Routes Using Bio-inspired Meta-heuristics. | 0 | 0.34 | 2018 |
| Multiple Sequence Alignment With Multiobjective Metaheuristics. A Comparative Study | 1 | 0.35 | 2017 |
| Comparing multi-objective metaheuristics for solving a three-objective formulation of multiple sequence alignment. | 2 | 0.37 | 2017 |
| Multi-objective Big Data Optimization with jMetal and Spark. | 6 | 0.48 | 2017 |
| M2Align: parallel multiple sequence alignment with a multi-objective metaheuristic. | 2 | 0.41 | 2017 |
| A Multi-objective Optimization Framework for Multiple Sequence Alignment with Metaheuristics. | 0 | 0.34 | 2017 |
| Design and architecture of the jMetaISP framework. | 1 | 0.35 | 2017 |
| A New Multi-objective Approach for Molecular Docking Based on RMSD and Binding Energy. | 3 | 0.40 | 2016 |
| Dynamic Multi-Objective Optimization with jMetal and Spark: A Case Study. | 0 | 0.34 | 2016 |
| Distributed Multi-Objective Metaheuristics for Real-World Structural Optimization Problems | 1 | 0.35 | 2016 |
| A Study of Archiving Strategies in Multi-objective PSO for Molecular Docking. | 1 | 0.35 | 2016 |
| Redesigning the jMetal Multi-Objective Optimization Framework | 34 | 1.05 | 2015 |
| Solving molecular flexible docking problems with metaheuristics: A comparative study. | 3 | 0.40 | 2015 |
| Integrating a multi-objective optimization framework into a structural design software. | 2 | 0.38 | 2014 |
| jMetalCpp: optimizing molecular docking problems with a C++ metaheuristic framework. | 10 | 0.55 | 2014 |
| Solving a Real-World Structural Optimization Problem with a Distributed SMS-EMOA Algorithm | 0 | 0.34 | 2013 |
| A Study of the Combination of Variation Operators in the NSGA-II Algorithm. | 5 | 0.40 | 2013 |
| Achieving super-linear performance in parallel multi-objective evolutionary algorithms by means of cooperative coevolution | 17 | 0.62 | 2013 |
| Multi-Objective Optimization Using Metaheuristics: Non-Standard Algorithms | 21 | 0.71 | 2012 |
| Using multi-objective metaheuristics to solve the software project scheduling problem | 25 | 0.87 | 2011 |
| A study of the bi-objective next release problem | 33 | 1.30 | 2011 |
| Optimization algorithms for large-scale real-world instances of the frequency assignment problem | 12 | 0.62 | 2011 |
| jMetal: A Java framework for multi-objective optimization | 404 | 9.39 | 2011 |
| Distribution of computational effort in parallel MOEA/D | 12 | 0.60 | 2011 |
| A study of multiobjective metaheuristics when solving parameter scalable problems | 39 | 1.67 | 2010 |
| A study of the parallelization of the multi-objective metaheuristic MOEA/D | 23 | 0.87 | 2010 |
