Ruhul Amin Sarker
Artificial Intelligence · 2000–2015
A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it; #13,492 of 35,345 by trust here, #20,836 by citations
- Computational Theory and Mathematics — 15 citations into it; #2,741 of 12,182 by trust here, #3,033 by citations
- Management Science and Operations Research — 5 citations into it; #6,311 of 11,946 by trust here, #6,024 by citations
Whom Ruhul Amin Sarker trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kalyanmoy Deb
- David E. Goldberg
- Joshua D. Knowles
- Himanshu Jain
- Qingfu Zhang
- Eckart Zitzler
- Hui Li
- Juan José Durillo
- David Wolfe Corne
Who trusts Ruhul Amin Sarker overall
Papers from Ruhul Amin Sarker's perspective
Ordered by how strongly the researchers Ruhul Amin Sarker trusts endorse each paper. Same corpus, a different order for every researcher.
- Simulated Binary Crossover for Continuous Search Space
- A fast and elitist multiobjective genetic algorithm: NSGA-II
- Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy (Evolutionary Computation)
- 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
- 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)
- Evolutionary many-objective optimisation: many once or one many? (IEEE Congress on Evolutionary Computation)
- Genetic Algorithms in Search Optimization and Machine Learning
Their papers
- A Decomposition-Based Evolutionary Algorithm for Many Objective Optimization (2015) — 387 citations
- PDE: a Pareto-frontier differential evolution approach for multi-objective optimization problems (2001) — 585 citations
- A genetic algorithm for solving economic lot size scheduling problem (2002) — 72 citations
- Optimization of maintenance and spare provisioning policy using simulation (2000) — 174 citations