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Ian Showalter
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2020 – today
- 2021
- [j1]Ian Showalter, Howard Schwartz:
Neuromodulated multiobjective evolutionary neurocontrollers without speciation. Evol. Intell. 14(4): 1415-1430 (2021) - [c8]Ian Showalter, Howard Schwartz, Sidney N. Givigi:
Evolutionary Inherited Neuromodulated Neurocontrollers with Objective Weighted Ranking. CEC 2021: 2443-2450 - [c7]Ian Showalter, Howard Schwartz, Sidney N. Givigi:
The Behavioural and Topological Effects of Measurement Noise on Evolutionary Neurocontrollers. SMC 2021: 2296-2303 - 2020
- [c6]Ian Showalter, Howard Schwartz:
Multiobjective Neuromodulated Controllers for Efficient Autonomous Vehicles with Mass and Drag in the Pursuit-Evasion Game. CEC 2020: 1-8 - [c5]Ian Showalter, Howard Schwartz:
Objective Comparison and Selection in Mono- and Multi-Objective Evolutionary Neurocontrollers. SSCI 2020: 2280-2287 - [c4]Ian Showalter, Howard Schwartz:
Exploring the Relationship Between Topology and Function in Evolved Neural Networks. SSCI 2020: 2304-2311 - [c3]Ian Showalter, Howard Schwartz:
Self-Adaptation of Meta-Parameters for Lamarckian-Inherited Neuromodulated Neurocontrollers in the Pursuit-Evasion Game. SSCI 2020: 2592-2599
2010 – 2019
- 2019
- [c2]Ian Showalter, Howard Schwartz:
Lamarckian Inheritance in Neuromodulated Multiobjective Evolutionary Neurocontrollers. MED 2019: 63-68
2000 – 2009
- 2004
- [c1]Ian Showalter, Howard M. Schwartz:
A growing and pruning method for a history stack neural network based adaptive controller. CDC 2004: 4946-4951
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