José Carlos Soto Monterrubio
Computational Theory and Mathematics · 2014
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 10 citations into it
- Artificial Intelligence — 9 citations into it
Whom José Carlos Soto Monterrubio trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Hui Li (in Computational Theory and Mathematics)
- Qingfu Zhang (in Computational Theory and Mathematics)
- Pavel Berkhin (in Artificial Intelligence)
Papers from José Carlos Soto Monterrubio's perspective
Ordered by how strongly the researchers José Carlos Soto Monterrubio trusts endorse each paper. Same corpus, a different order for every researcher.
- A review of multiobjective test problems and a scalable test problem toolkit (IEEE Transactions on Evolutionary Computation)
- MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition (IEEE Transactions on Evolutionary Computation)
- Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II (IEEE Transactions on Evolutionary Computation)
- The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances (IEEE Congress on Evolutionary Computation)
- Evolutionary many-objective optimisation: many once or one many? (IEEE Congress on Evolutionary Computation)
- A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II
- Multiple Populations for Multiple Objectives: A Coevolutionary Technique for Solving Multiobjective Optimization Problems (IEEE Transactions on Cybernetics)
- A Survey of Clustering Data Mining Techniques
- An Efficient Constraint Handling Method for Genetic Algorithms
- Balance between genetic search and local search in memetic algorithms for multiobjective permutation flowshop scheduling (IEEE Transactions on Evolutionary Computation)
Their papers
- A Survey of Decomposition Methods for Multi-objective Optimization (2014) — 51 citations