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Sushil J. Louis
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- affiliation: University of Nevada, Reno, Department of Computer Science and Engineering
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2020 – today
- 2024
- [c120]Korben Diarchangel, Sushil J. Louis:
A Serious Game for Target Angle Recognition. CoG 2024: 1-4 - [c119]Rita Olla, Emily Hand, Sushil J. Louis, Ramona Houmanfar, Shamik Sengupta:
A Cybersecurity Game to Probe Human-AI Teaming. CoG 2024: 1-5 - [c118]Md. Abu Sayed, Korben Diarchangel, Mayamin Hamid Raha, Parvaneh Aliniya, Monica N. Nicolescu, Mircea Nicolescu, Sushil J. Louis:
NavySim: A Multi-Vessel Simulation and Analysis Engine for Naval Domains. CoG 2024: 1-8 - [c117]Korben Diarchangel, Liam Francisco, Jude Koenig, Sushil J. Louis:
Evolving Potential Fields for Rules of the Road Compliant Ship Driving. GECCO Companion 2024: 91-92 - 2023
- [c116]Mayamin Hamid Raha, Md. Abu Sayed, Monica N. Nicolescu, Mircea Nicolescu, Sushil J. Louis:
Maritime Dynamic Resource Allocation and Risk Minimization Using Visual Analytics and Elitist Multi-Objective Optimization. ICINCO (1) 2023: 54-63 - 2022
- [j18]Sonu Jose, Sushil J. Louis, Sergiu Dascalu, Siming Liu:
Transfer Learning-based Hybrid Approach for Bayesian Network Structure Learning. Int. J. Artif. Intell. Tools 31(7): 2260003:1-2260003:24 (2022) - [c115]William Toledo, Sushil J. Louis, Shamik Sengupta:
NetDefense: A Tower Defense Cybersecurity Game for Middle and High School Students. FIE 2022: 1-6 - [c114]Bryan Dedeurwaerder, Sushil J. Louis, Siming Liu, Nicholas Harris:
Routing for bridge inspecting robots using a metaheuristic genetic algorithm. GECCO Companion 2022: 703-706 - [c113]Adarsh Sehgal, Nicholas Ward, Hung Manh La, Christos Papachristos, Sushil J. Louis:
GA+DDPG+HER: Genetic Algorithm-Based Function Optimizer in Deep Reinforcement Learning for Robotic Manipulation Tasks. IRC 2022: 85-86 - [c112]Bryan Dedeurwaerder, Sushil J. Louis:
A Meta Heuristic Genetic Algorithm for Multi-Depot Routing in Autonomous Bridge Inspection. SSCI 2022: 1194-1201 - [i14]Adarsh Sehgal, Nicholas Ward, Hung Manh La, Christos Papachristos, Sushil J. Louis:
GA-DRL: Genetic Algorithm-Based Function Optimizer in Deep Reinforcement Learning for Robotic Manipulation Tasks. CoRR abs/2203.00141 (2022) - [i13]Adarsh Sehgal, Nicholas Ward, Hung M. La, Sushil J. Louis:
Automatic Parameter Optimization Using Genetic Algorithm in Deep Reinforcement Learning for Robotic Manipulation Tasks. CoRR abs/2204.03656 (2022) - 2021
- [c111]Kripash Shrestha, Rahul Dubey, Ashutosh Singandhupe, Sushil J. Louis, Hung M. La:
Multi Objective UAV Network Deployment for Dynamic Fire Coverage. CEC 2021: 1280-1287 - [c110]Rahul Dubey, Sushil J. Louis:
Evolving potential field parameters for deploying UAV-based two-hop wireless mesh networks. GECCO Companion 2021: 311-312 - [c109]Rahul Dubey, Sushil J. Louis:
Multi-objective evolutionary algorithms for distributed tactical control of heterogeneous agents. GECCO Companion 2021: 1881-1888 - [i12]Rahul Dubey, Sushil J. Louis:
VORRT-COLREGs: A Hybrid Velocity Obstacles and RRT Based COLREGs-Compliant Path Planner for Autonomous Surface Vessels. CoRR abs/2109.00862 (2021) - 2020
- [c108]Rahul Dubey, Sushil J. Louis, Shamik Sengupta:
Evolving Dynamically Reconfiguring UAV-hosted Mesh Networks. CEC 2020: 1-8 - [c107]Dustin K. Barnes, Sara R. Davis, Emily M. Hand, Sushil J. Louis:
A first step toward incremental evolution of convolutional neural networks. GECCO Companion 2020: 115-116 - [c106]Hemanta Sapkota, Engin Arslan, Sushil J. Louis:
Real-time genetic optimization of large file transfers. GECCO Companion 2020: 283-284 - [c105]Mukesh Gautam, Narayan Bhusal, Mohammed Benidris, Sushil J. Louis:
A Spanning Tree-based Genetic Algorithm for Distribution Network Reconfiguration. IAS 2020: 1-6 - [c104]Sonu Jose, Sushil J. Louis, Sergiu M. Dascalu, Siming Liu:
Bayesian Network Structure Learning Using Case-Injected Genetic Algorithms. ICTAI 2020: 572-579 - [i11]Aavaas Gajurel, Sushil J. Louis, Frederick C. Harris Jr.:
GPU Acceleration of Sparse Neural Networks. CoRR abs/2005.04347 (2020) - [i10]Narayan Bhusal, Mukesh Gautam, Mohammed Benidris, Sushil J. Louis:
Optimal Sizing and Siting of Multi-purpose Utility-scale Shared Energy Storage Systems. CoRR abs/2008.07900 (2020) - [i9]Mukesh Gautam, Narayan Bhusal, Mohammed Benidris, Sushil J. Louis:
A Spanning Tree-based Genetic Algorithm for Distribution Network Reconfiguration. CoRR abs/2008.07908 (2020)
2010 – 2019
- 2019
- [c103]Hung Nguyen, Sushil J. Louis, Tin Nguyen:
MGKA: A genetic algorithm-based clustering technique for genomic data. CEC 2019: 103-110 - [c102]Navin K. Adhikari, Sushil J. Louis, Siming Liu:
Multi-objective cooperative co-evolution of micro for RTS games. CEC 2019: 482-489 - [c101]Rahul Dubey, Sushil J. Louis, Aavaas Gajurel, Siming Liu:
Comparing Three Approaches to Micro in RTS Games. CEC 2019: 777-784 - [c100]Aavaas Gajurel, Sushil J. Louis:
Multiobjective multi unit-type neuroevolution for micro in RTS games. GECCO (Companion) 2019: 169-170 - [c99]Nicholas Harris, Siming Liu, Sushil J. Louis, Jim Hung La:
A genetic algorithm for multi-robot routing in automated bridge inspection. GECCO (Companion) 2019: 369-370 - [c98]Sonu Jose, Siming Liu, Sushil J. Louis, Sergiu Dascalu:
Towards a Hybrid Approach for Evolving Bayesian Networks Using Genetic Algorithms. ICTAI 2019: 705-712 - [c97]Adarsh Sehgal, Hung M. La, Sushil J. Louis, Hai Nguyen:
Deep Reinforcement Learning Using Genetic Algorithm for Parameter Optimization. IRC 2019: 596-601 - [c96]Adarsh Sehgal, Ashutosh Singandhupe, Hung Manh La, Alireza Tavakkoli, Sushil J. Louis:
Lidar-Monocular Visual Odometry with Genetic Algorithm for Parameter Optimization. ISVC (2) 2019: 358-370 - [i8]Adarsh Sehgal, Ashutosh Singandhupe, Hung Manh La, Alireza Tavakkoli, Sushil J. Louis:
Lidar-Monocular Visual Odometry with Genetic Algorithm for Parameter Optimization. CoRR abs/1903.02046 (2019) - [i7]Adarsh Sehgal, Hung Manh La, Sushil J. Louis, Hai Nguyen:
Deep Reinforcement Learning using Genetic Algorithm for Parameter Optimization. CoRR abs/1905.04100 (2019) - 2018
- [c95]Spencer Gibb, Hung Manh La, Sushil J. Louis:
A Genetic Algorithm for Convolutional Network Structure Optimization for Concrete Crack Detection. CEC 2018: 1-8 - [c94]Sushil J. Louis, Siming Liu:
Multi-Objective Evolution for 3D RTS Micro. CEC 2018: 1-8 - [c93]Rahul Dubey, Joseph Ghantous, Sushil J. Louis, Siming Liu:
Evolutionary Multi-objective Optimization of Real-Time Strategy Micro. CIG 2018: 1-8 - [c92]Aavaas Gajurel, Sushil J. Louis, Daniel J. Mendez, Siming Liu:
Neuroevolution for RTS Micro. CIG 2018: 1-8 - [c91]Sushil J. Louis, Tianyi Jiang, Siming Liu:
Real-time strategy game micro for tactical training simulations. GECCO (Companion) 2018: 1656-1663 - [c90]Navin K. Adhikari, Sushil J. Louis, Siming Liu, Walker Spurgeon:
Co-evolving Real-Time Strategy Game Micro. SSCI 2018: 1990-1997 - [i6]Sushil J. Louis, Siming Liu:
Multi-objective evolution for 3D RTS Micro. CoRR abs/1803.02943 (2018) - [i5]Aavaas Gajurel, Sushil J. Louis, Daniel J. Mendez, Siming Liu:
Neuroevolution for RTS Micro. CoRR abs/1803.10288 (2018) - [i4]Navin K. Adhikari, Sushil J. Louis, Siming Liu, Walker Spurgeon:
Co-evolving Real-Time Strategy Game Micro. CoRR abs/1803.10314 (2018) - [i3]Rahul Dubey, Joseph Ghantous, Sushil J. Louis, Siming Liu:
Evolutionary Multi-objective Optimization of Real-Time Strategy Micro. CoRR abs/1803.10316 (2018) - 2017
- [j17]Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu, Sushil J. Louis:
Using patterns of firing neurons in spiking neural networks for learning and early recognition of spatio-temporal patterns. Neural Comput. Appl. 28(5): 881-897 (2017) - [c89]Rui Wu, Jose T. Painumkal, John M. Volk, Siming Liu, Sushil J. Louis, Scott Tyler, Sergiu M. Dascalu, Frederick C. Harris Jr.:
Parameter estimation of nonlinear nitrate prediction model using genetic algorithm. CEC 2017: 1893-1899 - [c88]Bikash Poudel, Sushil J. Louis, Arslan Munir:
Evolving side-channel resistant reconfigurable hardware for elliptic curve cryptography. CEC 2017: 2428-2436 - [c87]Siming Liu, Sushil J. Louis, Tianyi Jiang, Rui Wu:
Increasing physics realism when evolving micro behaviors for 3D RTS games. CEC 2017: 2465-2472 - [c86]Ahmet Aksoy, Sushil J. Louis, Mehmet Hadi Gunes:
Operating system fingerprinting via automated network traffic analysis. CEC 2017: 2502-2509 - [c85]Seyed Pourya Hoseini Alinodehi, Sushil J. Louis, Sajjad Moshfe, Mircea Nicolescu:
A modified steady state genetic algorithm suitable for fast pipelined hardware. CEC 2017: 2526-2533 - [c84]Chad Adams, Hirav Parekh, Sushil J. Louis:
Procedural level design using an interactive cellular automata genetic algorithm. GECCO (Companion) 2017: 85-86 - [c83]Iman Vakilinia, Sushil J. Louis, Shamik Sengupta:
Evolving sharing strategies in cybersecurity information exchange framework. GECCO (Companion) 2017: 309-310 - [c82]Chad Adams, Sushil J. Louis:
Procedural maze level generation with evolutionary cellular automata. SSCI 2017: 1-8 - [i2]Kazi Tanvir Ahmed Siddiqui, David Feil-Seifer, Tianyi Jiang, Sonu Jose, Siming Liu, Sushil J. Louis:
Development of a Swarm UAV Simulator Integrating Realistic Motion Control Models For Disaster Operations. CoRR abs/1704.07335 (2017) - [i1]Juan C. Quiroz, Amit Banerjee, Sushil J. Louis, Sergiu M. Dascalu:
Collaborative Evolution of 3D Models. CoRR abs/1711.09958 (2017) - 2016
- [j16]Siming Liu, Sushil J. Louis, Christopher A. Ballinger:
Evolving Effective Microbehaviors in Real-Time Strategy Games. IEEE Trans. Comput. Intell. AI Games 8(4): 351-362 (2016) - [j15]Christopher A. Ballinger, Sushil J. Louis, Siming Liu:
Coevolving Robust Build-Order Iterative Lists for Real-Time Strategy Games. IEEE Trans. Comput. Intell. AI Games 8(4): 363-376 (2016) - [c81]Tyler DeWitt, Sushil J. Louis, Siming Liu:
Evolving micro for 3D Real-Time Strategy games. CIG 2016: 1-8 - [c80]Siming Liu, Sushil J. Louis:
Comparing Two Representations for Evolving Micro in 3D RTS Games. ICTAI 2016: 722-729 - 2015
- [j14]Faezeh Tafazzoli, George Bebis, Sushil J. Louis, Muhammad Hussain:
Genetic feature selection for gait recognition. J. Electronic Imaging 24(1): 013036 (2015) - [c79]Siming Liu, Shamik Sengupta, Sushil J. Louis:
Evolving defensive strategies against iterated induction attacks in cognitive radio networks. CEC 2015: 3109-3115 - [c78]Moinul Hossain, Banafsheh Rekabdar, Sushil J. Louis, Sergiu M. Dascalu:
Forecasting the weather of Nevada: A deep learning approach. IJCNN 2015: 1-6 - [c77]Mohammad Taghi Saffar, Banafsheh Rekabdar, Sushil J. Louis, Mircea Nicolescu:
Face recognition in unconstrained environments. IJCNN 2015: 1-7 - [c76]Mohammad Taghi Saffar, Mircea Nicolescu, Monica N. Nicolescu, Daniel Bigelow, Christopher A. Ballinger, Sushil J. Louis:
Intent Recognition in a Simulated Maritime Multi-agent Domain. MOD 2015: 158-170 - 2014
- [c75]Christopher A. Ballinger, Sushil J. Louis:
Learning robust build-orders from previous opponents with coevolution. CIG 2014: 1-8 - [c74]Siming Liu, Sushil J. Louis, Christopher A. Ballinger:
Evolving effective micro behaviors in RTS game. CIG 2014: 1-8 - [c73]Faezeh Tafazzoli, George Bebis, Sushil J. Louis, Muhammad Hussain:
Improving Human Gait Recognition Using Feature Selection. ISVC (2) 2014: 830-840 - 2013
- [c72]Siming Liu, Sushil J. Louis, Monica N. Nicolescu:
Comparing heuristic search methods for finding effective group behaviors in RTS game. IEEE Congress on Evolutionary Computation 2013: 1371-1378 - [c71]Christopher A. Ballinger, Sushil J. Louis:
Robustness of coevolved strategies in a real-time strategy game. IEEE Congress on Evolutionary Computation 2013: 1379-1386 - [c70]Christopher A. Ballinger, Sushil J. Louis:
Finding robust strategies to defeat specific opponents using case-injected coevolution. CIG 2013: 1-8 - [c69]Siming Liu, Sushil J. Louis, Monica N. Nicolescu:
Using CIGAR for finding effective group behaviors in RTS game. CIG 2013: 1-8 - [c68]Michael Oberberger, Sushil J. Louis, Monica N. Nicolescu:
Evolving team tactics using potential fields. CISDA 2013: 1-8 - [c67]Christopher A. Ballinger, Sushil J. Louis:
Comparing heuristic search methods for finding effective real-time strategy game plans. CISDA 2013: 16-22 - [c66]Christopher A. Ballinger, Sushil J. Louis:
Comparing coevolution, genetic algorithms, and hill-climbers for finding real-time strategy game plans. GECCO (Companion) 2013: 47-48 - 2012
- [c65]Juan C. Quiroz, Amit Banerjee, Sushil J. Louis:
3-D modeling using collaborative evolution. GECCO (Companion) 2012: 653-654 - [c64]Athanasios Krontiris, Sushil J. Louis, Kostas E. Bekris:
Multi-level formation roadmaps for collision-free dynamic shape changes with non-holonomic teams. ICRA 2012: 1570-1575 - [c63]Abbas Roayaie Ardakany, Sushil J. Louis:
Improving Gender Recognition Using Genetic Algorithms. SEAL 2012: 501-510 - 2011
- [j13]Amit Banerjee, Juan C. Quiroz, Sushil J. Louis:
A Computational Model of Collaborative Creativity: A Meta-Design Approach. Int. J. Knowl. Syst. Sci. 2(2): 68-87 (2011) - [c62]Jeffrey Naruchitparames, Mehmet Hadi Gunes, Sushil J. Louis:
Friend recommendations in social networks using genetic algorithms and network topology. IEEE Congress on Evolutionary Computation 2011: 2207-2214 - [c61]Athanasios Krontiris, Sushil J. Louis, Kostas E. Bekris:
General dynamic formations for non-holonomic systems along planar curvilinear coordinates. ICRA 2011: 4903-4908 - 2010
- [j12]Anil Shankar, Sushil J. Louis:
XCS for Personalizing Desktop Interfaces. IEEE Trans. Evol. Comput. 14(4): 547-560 (2010) - [c60]Phillipa Avery, Sushil J. Louis:
Coevolving team tactics for a real-time strategy game. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c59]Greg Smith, Phillipa Avery, Ramona Houmanfar, Sushil J. Louis:
Using co-evolved RTS opponents to teach spatial tactics. CIG 2010: 146-153 - [c58]Phillipa Avery, Sushil J. Louis:
Coevolving influence maps for spatial team tactics in a RTS game. GECCO 2010: 783-790 - [c57]Athanasios Krontiris, Sushil J. Louis, Kostas E. Bekris:
Simulating Formations of Non-holonomic Systems with Control Limits along Curvilinear Coordinates. MIG 2010: 121-133 - [e2]Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis, Kay Chen Tan:
Simulated Evolution and Learning - 8th International Conference, SEAL 2010, Kanpur, India, December 1-4, 2010. Proceedings. Lecture Notes in Computer Science 6457, Springer 2010, ISBN 978-3-642-17297-7 [contents]
2000 – 2009
- 2009
- [c56]Juan C. Quiroz, Sushil J. Louis, Amit Banerjee, Sergiu M. Dascalu:
Towards creative design using collaborative interactive genetic algorithms. IEEE Congress on Evolutionary Computation 2009: 1849-1856 - [c55]Phillipa Avery, Sushil J. Louis, Benjamin Avery:
Evolving coordinated spatial tactics for autonomous entities using influence maps. CIG 2009: 341-348 - [c54]Juan C. Quiroz, Amit Banerjee, Sushil J. Louis, Sergiu M. Dascalu:
Document Design with Interactive Evolution. KES IIMSS 2009: 309-319 - 2008
- [c53]Nathan A. Penrod, David Carr, Sushil J. Louis, Bobby D. Bryant:
Neuro-evolving maintain-station behavior for realistically simulated boats. IEEE Congress on Evolutionary Computation 2008: 3327-3333 - [c52]Ryan E. Leigh, Justin Schonfeld, Sushil J. Louis:
Using coevolution to understand and validate game balance in continuous games. GECCO 2008: 1563-1570 - [c51]Juan C. Quiroz, Amit Banerjee, Sushil J. Louis:
IGAP: interactive genetic algorithm peer to peer. GECCO 2008: 1719-1720 - 2007
- [j11]Monica N. Nicolescu, Ryan E. Leigh, Adam Olenderski, Sushil J. Louis, Sergiu Dascalu, Chris Miles, Juan C. Quiroz, Ryan Aleson:
A Training Simulation System with Realistic Autonomous Ship Control. Comput. Intell. 23(4): 497-516 (2007) - [c50]Juan C. Quiroz, Sushil J. Louis, Anil Shankar, Sergiu M. Dascalu:
Interactive Genetic Algorithms for User Interface Design. IEEE Congress on Evolutionary Computation 2007: 1366-1373 - [c49]Amit Banerjee, Sushil J. Louis:
A recursive clustering methodology using a genetic algorithm. IEEE Congress on Evolutionary Computation 2007: 2165-2172 - [c48]Justin Schonfeld, Sushil J. Louis:
The effect of selection on the development of mutational robustness. IEEE Congress on Evolutionary Computation 2007: 4714-4721 - [c47]Juan C. Quiroz, Sergiu M. Dascalu, Sushil J. Louis:
Human guided evolution of XUL user interfaces. CHI Extended Abstracts 2007: 2621-2626 - [c46]Ryan E. Leigh, Sushil J. Louis, Chris Miles:
Using a Genetic Algorithm to Explore A*-like Pathfinding Algorithms. CIG 2007: 72-79 - [c45]Chris Miles, Juan C. Quiroz, Ryan E. Leigh, Sushil J. Louis:
Co-Evolving Influence Map Tree Based Strategy Game Players. CIG 2007: 88-95 - [c44]Amit Banerjee, Sushil J. Louis:
A Genetic Algorithm Implementation of the Fuzzy Least Trimmed Squares Clustering. FUZZ-IEEE 2007: 1-6 - [c43]Anil Shankar, Sushil J. Louis, Sergiu Dascalu, Ramona Houmanfar, Linda J. Hayes:
XCS for adaptive user-interfaces. GECCO 2007: 1876 - [c42]Juan C. Quiroz, Sushil J. Louis, Sergiu M. Dascalu:
Interactive evolution of XUL user interfaces. GECCO 2007: 2151-2158 - [c41]Anil Shankar, Juan C. Quiroz, Sergiu M. Dascalu, Sushil J. Louis, Monica N. Nicolescu:
Sycophant: An API for Research in Context-Aware User Interfaces. ICSEA 2007: 83 - [c40]Juan C. Quiroz, Anil Shankar, Sergiu M. Dascalu, Sushil J. Louis:
Software Environment for Research on Evolving User Interface Designs. ICSEA 2007: 84 - [c39]Alireza Tavakkoli, Amol Ambardekar, Mircea Nicolescu, Sushil J. Louis:
A Genetic Approach to Training Support Vector Data Descriptors for Background Modeling in Video Data. ISVC (2) 2007: 318-327 - [c38]Anil Shankar, Sushil J. Louis, Sergiu Dascalu, Linda J. Hayes, Ramona Houmanfar:
User-context for adaptive user interfaces. IUI 2007: 321-324 - 2006
- [c37]Chris Miles, Sushil J. Louis:
Towards the Co-Evolution of Influence Map Tree Based Strategy Game Players. CIG 2006: 75-82 - [c36]Adam Olenderski, Monica N. Nicolescu, Sushil J. Louis:
A Behavior-Based Architecture for Realistic Autonomous Ship Control. CIG 2006: 148-155 - [e1]Sushil J. Louis, Graham Kendall:
Proceedings of the 2006 IEEE Symposium on Computational Intelligence and Games (CIG06), University of Nevada, Reno, USA, campus in Reno/Lake Tahoe, 22-24 May, 2006. IEEE 2006, ISBN 1-4244-0464-9 [contents] - 2005
- [j10]Yaochu Jin, Sushil J. Louis, Khaled Rasheed:
Guest Editorial. Soft Comput. 9(1): 1-2 (2005) - [j9]Sushil J. Louis:
Genetic learning for combinational logic design. Soft Comput. 9(1): 38-43 (2005) - [j8]Sushil J. Louis, Chris Miles:
Playing to learn: case-injected genetic algorithms for learning to play computer games. IEEE Trans. Evol. Comput. 9(6): 669-681 (2005) - [c35]Anil Shankar, Sushil J. Louis:
Learning classifier systems for user context learning. Congress on Evolutionary Computation 2005: 2069-2075 - [c34]Ryan E. Leigh, Tony Morelli, Sushil J. Louis, Monica N. Nicolescu, Chris Miles:
Finding attack strategies for predator swarms using genetic algorithms. Congress on Evolutionary Computation 2005: 2422-2428 - [c33]Chris Miles, Sushil J. Louis:
Case-Injection Improves Response Time for a Real-Time Strategy Game. CIG 2005 - [c32]Kai Xu, Sushil J. Louis, Roberto C. Mancini:
A scalable parallel genetic algorithm for x-ray spectroscopic analysis. GECCO 2005: 811-816 - [c31]Sam Talaie, Ryan E. Leigh, Sushil J. Louis, Gary L. Raines:
Predicting mining activity with parallel genetic algorithms. GECCO 2005: 2149-2155 - [c30]Sushil J. Louis, Chris Miles:
Combining Case-Based Memory with Genetic Algorithm Search for Competent Game AI. ICCBR Workshops 2005: 193-205 - [c29]Adam Olenderski, Monica N. Nicolescu, Sushil J. Louis:
Robot learning by demonstration using forward models of schema-based behaviors. ICINCO 2005: 263-269 - [c28]Anil Shankar, Sushil J. Louis:
Better Personalization Using Learning Classifier Systems. IICAI 2005: 2573-2588 - 2004
- [j7]Sushil J. Louis, John R. McDonnell:
Learning with case-injected genetic algorithms. IEEE Trans. Evol. Comput. 8(4): 316-328 (2004) - [c27]Nicholas Cole, Sushil J. Louis, Chris Miles:
Using a genetic algorithm to tune first-person shooter bots. IEEE Congress on Evolutionary Computation 2004: 139-145 - [c26]Chris Miles, Sushil J. Louis, Nicholas Cole, John R. McDonnell:
Learning to play like a human: case injected genetic algorithms for strategic computer gaming. IEEE Congress on Evolutionary Computation 2004: 1441-1448 - [c25]Rich Drewes, James B. Maciokas, Sushil J. Louis, Philip H. Goodman:
An Evolutionary Autonomous Agent with Visual Cortex and Recurrent Spiking Columnar Neural Network. GECCO (1) 2004: 257-258 - [c24]Chris Miles, Sushil J. Louis, Rich Drewes:
Trap Avoidance in Strategic Computer Game Playing with Case Injected Genetic Algorithms. GECCO (1) 2004: 1365-1376 - [c23]Sushil J. Louis, Anil Shankar:
Context Learning Can Improve User Interaction. IRI 2004: 115-120 - 2003
- [c22]Rich Drewes, Sushil J. Louis, Chris Miles, John R. McDonnell, Nick Gizzi:
Use of case injection to bias genetic algorithm solutions of similar problems. IEEE Congress on Evolutionary Computation 2003: 1170-1177 - [c21]Sushil J. Louis:
Genetic learning from experience. IEEE Congress on Evolutionary Computation 2003: 2118-2125 - [c20]Sushil J. Louis:
Learning for Evolutionary Design. Evolvable Hardware 2003: 17-20 - [c19]Jeff Wallace, Sushil J. Louis:
Taming a Flood with a T-CUP - Designing Flood-Control Structures with a Genetic Algorithm. GECCO 2003: 2424-2425 - [c18]Sushil J. Louis, Gary L. Raines:
Genetic Algorithm Calibration of Probabilistic Cellular Automata for Modeling Mining Permit Activity. ICTAI 2003: 515- - [c17]Sushil J. Louis, John R. McDonnell, Doan Hohmeyer, Lisa Heinselman, Andrew Walker:
A Case Study in Object Oriented Modeling, Arhchitecting, and Designing an Enterprise Monitoring Application. Software Engineering Research and Practice 2003: 470-475 - 2002
- [j6]George Bebis, Evangelos A. Yfantis, Sushil J. Louis, Yaakov L. Varol:
Genetic object recognition using combinations of views. IEEE Trans. Evol. Comput. 6(2): 132-146 (2002) - [c16]Igor E. Golovkin, Sushil J. Louis, Roberto C. Mancini:
Parallel implementation of niched Pareto genetic algorithm code for X-ray plasma spectroscopy. IEEE Congress on Evolutionary Computation 2002: 1820-1824 - [c15]John R. McDonnell, Nick Gizzi, Sushil J. Louis:
Strike Force Asset Allocation using Genetic Search. IC-AI 2002: 897-901 - [c14]Kerry A. Gruber, Jason Baurick, Sushil J. Louis:
Evolution of Complex Behavior Controllers using Genetic Algorithms. IC-AI 2002: 902-908 - [c13]Zehang Sun, George Bebis, Xiaojing Yuan, Sushil J. Louis:
Genetic Feature Subset Selection for Gender Classification: A Comparison Study. WACV 2002: 165-170 - 2000
- [j5]Sushil J. Louis, Gong Li:
Case Injected Genetic Algorithms for Traveling Salesman Problems. Inf. Sci. 122(2-4): 201-225 (2000) - [c12]Igor E. Golovkin, Roberto C. Mancini, Sushil J. Louis, R. W. Lee, L. Klein:
Multi-criteria search and optimization: an application to X-ray plasma spectroscopy. CEC 2000: 1521-1527
1990 – 1999
- 1999
- [j4]M. Sami Fadali, Yongmian Zhang, Sushil J. Louis:
Robust stability analysis of discrete-time systems using genetic algorithms. IEEE Trans. Syst. Man Cybern. Part A 29(5): 503-508 (1999) - [c11]Sushil J. Louis, Qinxue Chen, Satish Pullammanappallil:
Seismic velocity inversion with genetic algorithms. CEC 1999: 855-861 - [c10]Sushil J. Louis, Xiangying Yin, Zhen Ya Yuan:
Multiple vehicle routing with time windows using genetic algorithms. CEC 1999: 1804-1808 - [c9]Sushil J. Louis, Judy Johnson:
Robustness of Case-Initialized Genetic Algorithms. FLAIRS 1999: 129-133 - [c8]Igor E. Golovkin, Roberto C. Mancini, Sushil J. Louis:
Plasma X-ray Spectra Analysis Using Genetic Algorithms. GECCO 1999: 1529-1534 - 1998
- [c7]Sushil J. Louis, George Bebis, Satish Uthiram, Yaakov L. Varol:
Genetic Search for Object Identification. Evolutionary Programming 1998: 199-208 - [c6]Sushil J. Louis, Yongmian Zhang:
An Empirical Comparison of Randomized Algorithms for Large Join Query Optimization. FLAIRS 1998: 95-100 - 1997
- [j3]Sushil J. Louis:
Working from blueprints: evolutionary learning for design. Artif. Intell. Eng. 11(3): 335-341 (1997) - [c5]Sushil J. Louis, Gan Li:
Combining Control Strategies Using Genetic Algorithms with Memory. Evolutionary Programming 1997: 431-442 - [c4]Sushil J. Louis, Judy Johnson:
Solving Similar Problems Using Genetic Algorithms and Case-Based Memory. ICGA 1997: 283-290 - 1994
- [j2]John S. Gero, Sushil J. Louis, Sourav Kundu:
Evolutionary learning of novel grammars for design improvement. Artif. Intell. Eng. Des. Anal. Manuf. 8(2): 83-94 (1994) - 1993
- [j1]Sushil J. Louis, Gary McGraw, Richard O. Wyckoff:
Case-based reasoning assisted explanation of genetic algorithm results. J. Exp. Theor. Artif. Intell. 5(1): 21-37 (1993) - [c3]Sushil J. Louis, Gregory J. E. Rawlins:
Pareto OptimalityGA-Easiness and Deception (Extended Abstract). ICGA 1993: 118-123 - 1992
- [c2]Sushil J. Louis, Gregory J. E. Rawlins:
Syntactic Analysis of Convergence in Genetic Algorithms. FOGA 1992: 141-151 - 1991
- [c1]Sushil J. Louis, Gregory J. E. Rawlins:
Designer Genetic Algorithms: Genetic Algorithms in Structure Design. ICGA 1991: 53-60
Coauthor Index
aka: Sergiu Dascalu
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