Rajarshi Das - RankMe

104 papers A* 12A 6B 2C 1Journal 33Unranked 50

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Constrained Decoding with Speculative Lookaheads. NAACL (Long Papers) Nishanth Sridhar Nakshatri, Shamik Roy, Rajarshi Das, Suthee Chaidaroon, Leonid Boytsov, Rashmi Gangadharaiah
2025	J	`jnl`	Exploring Next Token Prediction in Theory of Mind (ToM) Tasks: Comparative Experiments with GPT-2 and LLaMA-2 AI Models. CoRR Pavan Yadav, Nikhil Khandalkar, Krishna Shinde, Lokesh B. Ramegowda, Rajarshi Das
2025	J	`jnl`	Impact of Noise on LLM-Models Performance in Abstraction and Reasoning Corpus (ARC) Tasks with Model Temperature Considerations. CoRR Nikhil Khandalkar, Pavan Yadav, Krishna Shinde, Lokesh B. Ramegowda, Rajarshi Das
2025	A*	`conf`	Searching for Optimal Solutions with LLMs via Bayesian Optimization. ICLR Dhruv Agarwal, Manoj Ghuhan Arivazhagan, Rajarshi Das, Sandesh Swamy, Sopan Khosla, Rashmi Gangadharaiah
2024	—	`conf`	Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA. NAACL-HLT (Findings) Dhruv Agarwal, Rajarshi Das, Sopan Khosla, Rashmi Gangadharaiah
2024	J	`jnl`	Constrained Decoding with Speculative Lookaheads. CoRR Nishanth Sridhar Nakshatri, Shamik Roy, Rajarshi Das, Suthee Chaidaroon, Leonid Boytsov, Rashmi Gangadharaiah
2024	—	`conf`	Resource Aware power modelling for compute-bound tasks on GPUs. HPCCT Rajarshi Das, Sachit Rao
2023	J	`jnl`	Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA. CoRR Dhruv Agarwal, Rajarshi Das, Sopan Khosla, Rashmi Gangadharaiah
2023	—	`conf`	Machine Reading Comprehension using Case-based Reasoning. EMNLP (Findings) Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Wenlong Zhao, Rajarshi Das, Jay-Yoon Lee, Hannaneh Hajishirzi, Manzil Zaheer, Andrew McCallum
2023	J	`jnl`	Machine Reading Comprehension using Case-based Reasoning. CoRR Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Wenlong Zhao, Rajarshi Das, Manzil Zaheer, Jay-Yoon Lee, Hannaneh Hajishirzi, Andrew McCallum
2023	—	`conf`	When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories. ACL (1) Alex Mallen, Akari Asai, Victor Zhong, Rajarshi Das, Daniel Khashabi, Hannaneh Hajishirzi
2022	J	`jnl`	CBR-iKB: A Case-Based Reasoning Approach for Question Answering over Incomplete Knowledge Bases. CoRR Dung Thai, Srinivas Ravishankar, Ibrahim Abdelaziz, Mudit Chaudhary, Nandana Mihindukulasooriya, Tahira Naseem, Rajarshi Das, Pavan Kapanipathi, Achille Fokoue, Andrew McCallum
2022	—	`conf`	Calibration of Machine Reading Systems at Scale. ACL (Findings) Shehzaad Dhuliawala, Leonard Adolphs, Rajarshi Das, Mrinmaya Sachan
2022	J	`jnl`	Calibration of Machine Reading Systems at Scale. CoRR Shehzaad Dhuliawala, Leonard Adolphs, Rajarshi Das, Mrinmaya Sachan
2022	—	`conf`	DISAPERE: A Dataset for Discourse Structure in Peer Review Discussions. NAACL-HLT Neha Nayak Kennard, Tim O'Gorman, Rajarshi Das, Akshay Sharma, Chhandak Bagchi, Matthew Clinton, Pranay Kumar Yelugam, Hamed Zamani, Andrew McCallum
2022	A*	`conf`	Knowledge Base Question Answering by Case-based Reasoning over Subgraphs. ICML Rajarshi Das, Ameya Godbole, Ankita Naik, Elliot Tower, Manzil Zaheer, Hannaneh Hajishirzi, Robin Jia, Andrew McCallum
2022	J	`jnl`	Knowledge Base Question Answering by Case-based Reasoning over Subgraphs. CoRR Rajarshi Das, Ameya Godbole, Ankita Naik, Elliot Tower, Robin Jia, Manzil Zaheer, Hannaneh Hajishirzi, Andrew McCallum
2022	J	`jnl`	When Not to Trust Language Models: Investigating Effectiveness and Limitations of Parametric and Non-Parametric Memories. CoRR Alex Mallen, Akari Asai, Victor Zhong, Rajarshi Das, Hannaneh Hajishirzi, Daniel Khashabi
2021	J	`jnl`	A Dataset for Discourse Structure in Peer Review Discussions. CoRR Neha Nayak Kennard, Tim O'Gorman, Akshay Sharma, Chhandak Bagchi, Matthew Clinton, Pranay Kumar Yelugam, Rajarshi Das, Hamed Zamani, Andrew McCallum
2021	—	`conf`	Case-based Reasoning for Natural Language Queries over Knowledge Bases. EMNLP (1) Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay Yoon Lee, Lizhen Tan, Lazaros Polymenakos, Andrew McCallum
2021	J	`jnl`	Case-based Reasoning for Natural Language Queries over Knowledge Bases. CoRR Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay-Yoon Lee, Lizhen Tan, Lazaros Polymenakos, Andrew McCallum
2021	—	`conf`	Long Document Summarization in a Low Resource Setting using Pretrained Language Models. ACL (student) Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna, Pradhiksha Ashok Kumar, Rheeya Uppaal, Bradford Windsor, Eliot Brenner, Dominic Dotterrer, Rajarshi Das, Andrew McCallum
2021	J	`jnl`	Long Document Summarization in a Low Resource Setting using Pretrained Language Models. CoRR Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna, Pradhiksha Ashok Kumar, Rheeya Uppaal, Bradford Windsor, Eliot Brenner, Dominic Dotterrer, Rajarshi Das, Andrew McCallum
2020	—	`conf`	A Simple Approach to Case-Based Reasoning in Knowledge Bases. AKBC Rajarshi Das, Ameya Godbole, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum
2020	J	`jnl`	A Simple Approach to Case-Based Reasoning in Knowledge Bases. CoRR Rajarshi Das, Ameya Godbole, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum
2020	—	`conf`	An Instance Level Approach for Shallow Semantic Parsing in Scientific Procedural Text. EMNLP (Findings) Daivik Swarup, Ahsaas Bajaj, Sheshera Mysore, Tim O'Gorman, Rajarshi Das, Andrew McCallum
2020	J	`jnl`	Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion. CoRR Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum
2020	—	`conf`	Probabilistic Case-based Reasoning in Knowledge Bases. EMNLP (Findings) Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum
2020	—	`conf`	ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning. EMNLP (1) Michael Boratko, Xiang Li, Tim O'Gorman, Rajarshi Das, Dan Le, Andrew McCallum
2020	J	`jnl`	ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning. CoRR Michael Boratko, Xiang Lorraine Li, Rajarshi Das, Tim O'Gorman, Dan Le, Andrew McCallum
2019	—	`conf`	A Survey on Semantic Parsing. AKBC Aishwarya Kamath, Rajarshi Das
2019	—	`conf`	Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension. ICLR (Poster) Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum
2019	—	`conf`	Chains-of-Reasoning at TextGraphs 2019 Shared Task: Reasoning over Chains of Facts for Explainable Multi-hop Inference. TextGraphs@EMNLP Rajarshi Das, Ameya Godbole, Manzil Zaheer, Shehzaad Dhuliawala, Andrew McCallum
2019	—	`conf`	Do Multi-hop Readers Dream of Reasoning Chains? MRQA@EMNLP Haoyu Wang, Mo Yu, Xiaoxiao Guo, Rajarshi Das, Wenhan Xiong, Tian Gao
2019	J	`jnl`	Do Multi-hop Readers Dream of Reasoning Chains? CoRR Haoyu Wang, Mo Yu, Xiaoxiao Guo, Rajarshi Das, Wenhan Xiong, Tian Gao
2019	—	`conf`	Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering. MRQA@EMNLP Rajarshi Das, Ameya Godbole, Dilip Kavarthapu, Zhiyu Gong, Abhishek Singhal, Mo Yu, Xiaoxiao Guo, Tian Gao, Hamed Zamani, Manzil Zaheer, Andrew McCallum
2019	J	`jnl`	Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering. CoRR Ameya Godbole, Dilip Kavarthapu, Rajarshi Das, Zhiyu Gong, Abhishek Singhal, Hamed Zamani, Mo Yu, Tian Gao, Xiaoxiao Guo, Manzil Zaheer, Andrew McCallum
2019	—	`conf`	Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering. ICLR (Poster) Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum
2019	J	`jnl`	Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering. CoRR Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum
2019	—	`conf`	Optimal Transport-based Alignment of Learned Character Representations for String Similarity. ACL (1) Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum
2019	J	`jnl`	Optimal Transport-based Alignment of Learned Character Representations for String Similarity. CoRR Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum
2018	J	`jnl`	A Survey on Semantic Parsing. CoRR Aishwarya Kamath, Rajarshi Das
2018	—	`conf`	A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. QA@ACL Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue-Nkoutche, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock
2018	J	`jnl`	A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. CoRR Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue-Nkoutche, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock
2018	—	`conf`	An Interface for Annotating Science Questions. EMNLP (Demonstration) Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock
2018	J	`jnl`	Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension. CoRR Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum
2018	—	`conf`	Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning. ICLR (Poster) Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum
2018	J	`jnl`	Weaver: Deep Co-Encoding of Questions and Documents for Machine Reading. CoRR Martin Raison, Pierre-Emmanuel Mazaré, Rajarshi Das, Antoine Bordes
2017	—	`conf`	Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks. EACL (1) Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum
2017	—	`conf`	Go for a Walk and Arrive at the Answer: Reasoning Over Knowledge Bases with Reinforcement Learning. AKBC@NIPS Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum
2017	J	`jnl`	Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning. CoRR Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alexander J. Smola, Andrew McCallum
2017	—	`conf`	Learning String Alignments for Entity Aliases. AKBC@NIPS Aaron Traylor, Nicholas Monath, Rajarshi Das, Andrew McCallum
2017	—	`conf`	Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks. ACL (2) Rajarshi Das, Manzil Zaheer, Siva Reddy, Andrew McCallum
2017	J	`jnl`	Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks. CoRR Rajarshi Das, Manzil Zaheer, Siva Reddy, Andrew McCallum
2016	J	`jnl`	Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks. CoRR Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum
2016	—	`conf`	Incorporating Selectional Preferences in Multi-hop Relation Extraction. AKBC@NAACL-HLT Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum
2015	C	`conf`	A framework for analyzing publicly available healthcare data. HealthCom A. Ravishankar Rao, Atul Chhabra, Rajarshi Das, Vikash Ruhil
2015	—	`conf`	Dynamic reconfiguration of IO adapters for real-time outage prevention. Middleware Posters and Demos Rajarshi Das, Vishal Mansur, Nikhil Hegde, Omar Cardona
2015	—	`conf`	Gaussian LDA for Topic Models with Word Embeddings. ACL (1) Rajarshi Das, Manzil Zaheer, Chris Dyer
2013	A*	`conf`	Agile, efficient virtualization power management with low-latency server power states. ISCA Canturk Isci, Suzanne McIntosh, Jeffrey O. Kephart, Rajarshi Das, James E. Hanson, Scott Piper, Robert R. Wolford, Thomas Brey, Robert Kantner, Allen Ng, James Norris, Abdoulaye Traore, Michael Frissora
2013	A	`conf`	Decision Making in Enterprise Crowdsourcing Services. ICSOC Maja Vukovic, Rajarshi Das
2013	J	`jnl`	From sensing to controlling: the state of the art in ubiquitous crowdsourcing. Int. J. Commun. Networks Distributed Syst. Maja Vukovic, Rajarshi Das, Soundar R. T. Kumara
2012	—	`conf`	Assessing Product Quality through PMR Analysis: A Perspective. ISSRE Workshops Rajarshi Das
2012	J	`jnl`	Cooperative Negotiation in Autonomic Systems using Incremental Utility Elicitation CoRR Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh
2011	B	`conf`	A unified approach to coordinated energy-management in data centers. CNSM Rajarshi Das, Srinivas Yarlanki, Hendrik F. Hamann, Jeffrey O. Kephart, Vanessa López
2010	—	`conf`	Social Navigation through the Spoken Web: Improving Audio Access through Collaborative Filtering in Gujarat, India. AAAI Spring Symposium: Artificial Intelligence for Development Robert G. Farrell, Rajarshi Das, Nitendra Rajput
2010	A	`conf`	Social navigation for the spoken web. RecSys Robert G. Farrell, Nitendra Rajput, Rajarshi Das, Catalina M. Danis, Ketki A. Dhanesha
2010	—	`conf`	Utility-function-driven energy-efficient cooling in data centers. ICAC Rajarshi Das, Jeffrey O. Kephart, Jonathan Lenchner, Hendrik F. Hamann
2009	A*	`conf`	Expressive Power-Based Resource Allocation for Data Centers. IJCAI Benjamin Lubin, Jeffrey O. Kephart, Rajarshi Das, David C. Parkes
2009	—	`conf`	Optimal power allocation in server farms. SIGMETRICS/Performance Anshul Gandhi, Mor Harchol-Balter, Rajarshi Das, Charles Lefurgy
2008	—	`conf`	Autonomic multi-agent management of power and performance in data centers. AAMAS (Industry Track) Rajarshi Das, Jeffrey O. Kephart, Charles Lefurgy, Gerald Tesauro, David W. Levine, Hoi Y. Chan
2007	J	`jnl`	Achieving Self-Management via Utility Functions. IEEE Internet Comput. Jeffrey O. Kephart, Rajarshi Das
2007	—	`conf`	Coordinating Multiple Autonomic Managers to Achieve Specified Power-Performance Tradeoffs. ICAC Jeffrey O. Kephart, Hoi Y. Chan, Rajarshi Das, David W. Levine, Gerald Tesauro, Freeman L. Rawson III, Charles Lefurgy
2007	—	`conf`	Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning. NIPS Gerald Tesauro, Rajarshi Das, Hoi Y. Chan, Jeffrey O. Kephart, David W. Levine, Freeman L. Rawson III, Charles Lefurgy
2007	J	`jnl`	On the use of hybrid reinforcement learning for autonomic resource allocation. Clust. Comput. Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mohamed N. Bennani
2007	—	`conf`	X-Online: An Online Interface for Digital Decryption Tools. SADFE Sudhir Aggarwal, Daniel Beech, Rajarshi Das, Breno de Medeiros, Eric Thompson
2006	—	`conf`	A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation. ICAC Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mohamed N. Bennani
2006	J	`jnl`	Experience with collaborating managers: node group manager and provisioning manager. Clust. Comput. Ian Whalley, Asser N. Tantawi, Malgorzata Steinder, Mike Spreitzer, Giovanni Pacifici, Rajarshi Das, David M. Chess
2006	—	`conf`	Improvement of Systems Management Policies Using Hybrid Reinforcement Learning. ECML Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mohamed N. Bennani
2006	—	`conf`	Towards Commercialization of Utility-based Resource Allocation. ICAC Rajarshi Das, Jeffrey O. Kephart, Ian Whalley, Paul Vytas
2006	A	`conf`	Utility-based collaboration among autonomous agents for resource allocation in data centers. AAMAS Rajarshi Das, Ian Whalley, Jeffrey O. Kephart
2005	A*	`conf`	New Approaches to Optimization and Utility Elicitation in Autonomic Computing. AAAI Relu Patrascu, Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh
2005	—	`conf`	Utility-Function-Driven Resource Allocation in Autonomic Systems. ICAC Gerald Tesauro, Rajarshi Das, William E. Walsh, Jeffrey O. Kephart
2004	A	`conf`	A Multi-Agent Systems Approach to Autonomic Computing. AAMAS Gerald Tesauro, David M. Chess, William E. Walsh, Rajarshi Das, Alla Segal, Ian Whalley, Jeffrey O. Kephart, Steve R. White
2004	—	`conf`	Utility Functions in Autonomic Systems. ICAC William E. Walsh, Gerald Tesauro, Jeffrey O. Kephart, Rajarshi Das
2003	—	`conf`	Choosing Samples to Compute Heuristic-Strategy Nash Equilibrium. AMEC William E. Walsh, David C. Parkes, Rajarshi Das
2003	A	`conf`	Cooperative Negotiation in Autonomic Systems using Incremental Utility Elicitation. UAI Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh
2003	A*	`conf`	Towards Cooperative Negotiation for Decentralized Resource Allocation in Autonomic Computing Systems. IJCAI Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, William E. Walsh
2002	J	`jnl`	Model Selection in an Information Economy: Choosing What to Learn. Comput. Intell. Christopher H. Brooks, Robert S. Gazzale, Rajarshi Das, Jeffrey O. Kephart, Jeffrey K. MacKie-Mason, Edmund H. Durfee
2001	A*	`conf`	Agent-Human Interactions in the Continuous Double Auction. IJCAI Rajarshi Das, James E. Hanson, Jeffrey O. Kephart, Gerald Tesauro
2001	A*	`conf`	High-performance bidding agents for the continuous double auction. EC Gerald Tesauro, Rajarshi Das
2001	A*	`conf`	Pricing information bundles in a dynamic environment. EC Jeffrey O. Kephart, Christopher H. Brooks, Rajarshi Das
2000	B	`conf`	Dynamic Pricing with Limited Competitor Information in a Multi-Agent Economy. CoopIS Prithviraj Dasgupta, Rajarshi Das
2000	—	`conf`	Dynamic Service Pricing for Brokers in a Multi-Agent Economy. ICMAS Prithviraj Dasgupta, Rajarshi Das
2000	A*	`conf`	Price wars and niche discovery in an information economy. EC Christopher H. Brooks, Edmund H. Durfee, Rajarshi Das
1999	A*	`conf`	Automated strategy searches in an electronic goods market: learning and complex price schedules. EC Christopher H. Brooks, Scott A. Fay, Rajarshi Das, Jeffrey K. MacKie-Mason, Jeffrey O. Kephart, Edmund H. Durfee
1999	—	`conf`	Two-Sided Learning in an Agent Economy for Information Bundles. Agent Mediated Electronic Commerce (IJCAI Workshop) Jeffrey O. Kephart, Rajarshi Das, Jeffrey K. MacKie-Mason
1995	—	`conf`	Evolving Globally Synchronized Cellular Automata. ICGA Rajarshi Das, James P. Crutchfield, Melanie Mitchell, James E. Hanson
1994	A	`conf`	A Genetic Algorithm Discovers Particle-Based Computation in Cellular Automata. PPSN Rajarshi Das, Melanie Mitchell, James P. Crutchfield
1994	A*	`conf`	Catching a Baseball: A Reinforcement Learning Perspective Using a Neural Network. AAAI Rajarshi Das, Sreerupa Das
1992	J	`jnl`	Tracking Primary Hyperplane Competitors During Genetic Search. Ann. Math. Artif. Intell. L. Darrell Whitley, Rajarshi Das, Curtis Crabb
1991	—	`conf`	Genetic Reinforcement Learning with Multilayer Neural Networks. ICGA L. Darrell Whitley, Stephen Dominic, Rajarshi Das
1991	—	`conf`	The Only Challenging Problems Are Deceptive: Global Search by Solving Order-1 Hyperplanes. ICGA Rajarshi Das, L. Darrell Whitley
1989	—	`conf`	A Study of Control Parameters Affecting Online Performance of Genetic Algorithms for Function Optimization. ICGA J. David Schaffer, Rich Caruana, Larry J. Eshelman, Rajarshi Das