Tapabrata Ray

Artificial Intelligence · 2001–2015

A researcher in the Science corpus: 6 papers; trusts 14 researchers and is trusted by 54 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #4,334 of 35,345 by trust here, #10,667 by citations
• Computational Theory and Mathematics — 15 citations into it; #694 of 12,182 by trust here, #1,157 by citations
• Management Science and Operations Research — 5 citations into it; #6,309 of 11,946 by trust here, #6,024 by citations

Whom Tapabrata Ray trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kalyanmoy Deb
2. James Kennedy
3. R. Eberhart
4. Himanshu Jain
5. Qingfu Zhang
6. Eckart Zitzler
7. Hui Li
8. Juan José Durillo
9. Rui Wang
10. Evan James Hughes

Who trusts Tapabrata Ray overall

1. Xin-She Yang
2. Carlos Artemio Coello Coello
3. Shang He
4. Leandro dos S. Coelho
5. Ye Tian
6. Amir H. Gandomi
7. Ryoji Tanabe
8. Min Zhang
9. Efrén Mezura-Montes
10. Jung-Fa Tsai

Papers from Tapabrata Ray's perspective

Ordered by how strongly the researchers Tapabrata Ray trusts endorse each paper. Same corpus, a different order for every researcher.

1. A review of multiobjective test problems and a scalable test problem toolkit (IEEE Transactions on Evolutionary Computation)
2. SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization
3. A fast and elitist multiobjective genetic algorithm: NSGA-II
4. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition (IEEE Transactions on Evolutionary Computation)
5. Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II (IEEE Transactions on Evolutionary Computation)
6. An Efficient Constraint Handling Method for Genetic Algorithms
7. 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)
8. A Grid-Based Evolutionary Algorithm for Many-Objective Optimization (IEEE Transactions on Evolutionary Computation)
9. jMetal: A Java framework for multi-objective optimization (Advances in Engineering Software)
10. An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach (IEEE Transactions on Evolutionary Computation)

Their papers

• A Swarm Metaphor for Multiobjective Design Optimization (2002) — 401 citations
• A Decomposition-Based Evolutionary Algorithm for Many Objective Optimization (2015) — 387 citations
• ENGINEERING DESIGN OPTIMIZATION USING A SWARM WITH AN INTELLIGENT INFORMATION SHARING AMONG INDIVIDUALS (2001) — 348 citations
• MULTIOBJECTIVE DESIGN OPTIMIZATION BY AN EVOLUTIONARY ALGORITHM (2001) — 296 citations
• Society and civilization: An optimization algorithm based on the simulation of social behavior (2003) — 556 citations
• Design Synthesis of Path Generating Compliant Mechanisms by Evolutionary Optimization of Topology and Shape (2002) — 100 citations