Himanshu Jain

Computational Theory and Mathematics · with Deb · 2014

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 76 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 30 citations into it; #206 of 12,182 by trust here, #1,027 by citations
• Artificial Intelligence — 26 citations into it; #2,191 of 35,345 by trust here, #8,210 by citations
• Management Science and Operations Research — 7 citations into it; #291 of 11,946 by trust here, #1,061 by citations

Whom Himanshu Jain trusts overall

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

1. Kalyanmoy Deb
2. Qingfu Zhang
3. Hui Li
4. Eckart Zitzler
5. Evan James Hughes
6. David Hadka
7. Hisao Ishibuchi
8. Kaisa Miettinen
9. Marco Laumanns
10. Lothar Thiele

Who trusts Himanshu Jain overall

1. Ye Tian
2. Ran Cheng
3. Yaochu Jin
4. Xing-yi Zhang
5. Ke Li
6. Hisao Ishibuchi
7. Yanan Sun
8. Kalyanmoy Deb
9. Md. Asafuddoula
10. Anupam Trivedi

Papers from Himanshu Jain's perspective

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

1. Simulated Binary Crossover for Continuous Search Space
2. Multi-objective optimization using evolutionary algorithms
3. Performance assessment of multiobjective optimizers: an analysis and review (IEEE Transactions on Evolutionary Computation)
4. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition (IEEE Transactions on Evolutionary Computation)
5. SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization
6. Nonlinear multiobjective optimization
7. A faster algorithm for calculating hypervolume (IEEE Transactions on Evolutionary Computation)
8. A review of multiobjective test problems and a scalable test problem toolkit (IEEE Transactions on Evolutionary Computation)
9. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
10. Guidance in evolutionary multi-objective optimization

Their papers

• An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints (2014) — 6,084 citations
• An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach (2014) — 1,967 citations