Md. Asafuddoula
Computational Theory and Mathematics · 2015
A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 14 citations into it; #5,877 of 12,182 by trust here, #5,954 by citations
- Artificial Intelligence — 13 citations into it
- Management Science and Operations Research — 5 citations into it; #6,310 of 11,946 by trust here, #6,024 by citations
Whom Md. Asafuddoula trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kalyanmoy Deb
- Himanshu Jain
- Qingfu Zhang
- Eckart Zitzler
- Hui Li
- Juan José Durillo
- Rui Wang
- Evan James Hughes
- Simon Huband
- Shengxiang Yang
Who trusts Md. Asafuddoula overall
- Ye Tian
- Hisao Ishibuchi
- Ke Li
- Yuan Yuan
- Xing-yi Zhang
- Xiaoliang Ma
- Yaochu Jin
- Ran Cheng
- Yanan Sun
- Yu Setoguchi
Papers from Md. Asafuddoula's perspective
Ordered by how strongly the researchers Md. Asafuddoula 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)
- SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization
- Simulated Binary Crossover for Continuous Search Space
- A fast and elitist multiobjective genetic algorithm: NSGA-II
- 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)
- An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints (IEEE Transactions on Evolutionary Computation)
- Multi-objective optimization using evolutionary algorithms
- Evolutionary many-objective optimisation: many once or one many? (IEEE Congress on Evolutionary Computation)
- Scalable Test Problems for Evolutionary Multiobjective Optimization (Evolutionary Multiobjective Optimization)
Their papers
- A Decomposition-Based Evolutionary Algorithm for Many Objective Optimization (2015) — 387 citations