Dipti Srinivasan

Artificial Intelligence · 2004–2019

A researcher in the Science corpus: 12 papers; trusts 37 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 48 citations into it; #14,390 of 35,345 by trust here, #15,866 by citations
• Computational Theory and Mathematics — 38 citations into it; #6,949 of 12,182 by trust here, #7,851 by citations
• Management Science and Operations Research — 25 citations into it
• Electrical and Electronic Engineering — 22 citations into it; #2,921 of 16,539 by trust here, #6,291 by citations
• Control and Systems Engineering — 7 citations into it; #4,172 of 8,257 by trust here, #3,865 by citations
• Reinforcement Learning — 7 citations into it

Whom Dipti Srinivasan trusts overall

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

1. Kalyanmoy Deb
2. Qingfu Zhang
3. Robert A. Jacobs
4. Simon S. Haykin
5. James C. Spall
6. Eckart Zitzler
7. Hui Li
8. Abbas Khosravi
9. Himanshu Jain
10. Ke Li

Who trusts Dipti Srinivasan overall

1. Shalabh Bhatnagar
2. Michael Zeifman
3. P. Balaji
4. Grzegorz Dudek
5. Ahmed Zoha
6. Yu Bai
7. H. Kumar Nunna
8. Kurt Roth
9. Ryoji Tanabe
10. Zhi-Zhong Liu

Papers from Dipti Srinivasan's perspective

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

1. A fast and elitist multiobjective genetic algorithm: NSGA-II
2. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
3. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition (IEEE Transactions on Evolutionary Computation)
4. A review of multiobjective test problems and a scalable test problem toolkit (IEEE Transactions on Evolutionary Computation)
5. SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization
6. Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II (IEEE Transactions on Evolutionary Computation)
7. ImageNet classification with deep convolutional neural networks
8. 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)
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Scalable multi-objective optimization test problems (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))

Their papers

• A Survey of Multiobjective Evolutionary Algorithms Based on Decomposition (2017) — 550 citations
• Demand Side Management in Smart Grid Using Heuristic Optimization (2012) — 1,155 citations
• Neural-network-based signature recognition for harmonic source identification (2006) — 447 citations
• Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals (2014) — 571 citations
• Multiagent System for Real-Time Operation of a Microgrid in Real-Time Digital Simulator (2012) — 343 citations
• Multi-agent system for energy resource scheduling of integrated microgrids in a distributed system (2011) — 351 citations
• Wind Power Curve Modeling and Wind Power Forecasting With Inconsistent Data (2019) — 142 citations
• Economic and Environmental Generation and Voyage Scheduling of All-Electric Ships (2016) — 129 citations
• An Introduction to Multi-Agent Systems (2010) — 513 citations
• Innovations in Multi-Agent Systems and Applications - 1 (2010) — 214 citations
• Neural Networks for Real-Time Traffic Signal Control (2006) — 377 citations
• IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS Editor (2004)