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Evolving Multimodal Behavior

Evolving Multimodal Behavior

Evolving Multimodal Behavior. PhD Proposal Jacob Schrum 11/4/09. Introduction. Challenge: Discover behavior automatically Simulations, video games, robotics Why challenging? Noisy sensors Complex domains Continuous states/actions Multiple agents, teamwork Multiple objectives

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698 views • 69 slides
DCMOGA : D istributed C ooperation model of M ulti- O bjective G enetic A lgorithm

DCMOGA : D istributed C ooperation model of M ulti- O bjective G enetic A lgorithm

DCMOGA : D istributed C ooperation model of M ulti- O bjective G enetic A lgorithm. Tamaki Okuda ? Tomoyuki Hiroyasu Mitsunori Miki Shinya Watanabe Doshisha University, Kyoto Japan. Multi-objective Optimization Problems.

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452 views • 32 slides
Evolving Agent Behavior in Multiobjective Domains Using Fitness-Based Shaping

Evolving Agent Behavior in Multiobjective Domains Using Fitness-Based Shaping

Evolving Agent Behavior in Multiobjective Domains Using Fitness-Based Shaping. Jacob Schrum and Risto Miikkulainen University of Texas at Austin Department of Computer Science. Typical Uses of MOEAs. Where have MOEAs proven themselves? Wireless Sensor Networks (Woehrle et al, 2010)

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374 views • 26 slides
Simultaneous Search-Based Genetic Transfer Across Refactoring and Regression Testing Tasks

Simultaneous Search-Based Genetic Transfer Across Refactoring and Regression Testing Tasks

Simultaneous Search-Based Genetic Transfer Across Refactoring and Regression Testing Tasks. IPIT Research Presentation Jeffrey J. Yackley 3 June 2019. Co-authors. Jeffrey Yackley, MS Marouane Kessentini, PhD Gabriele Bavota, PhD Vahid Alizadeh, MS Bruce Maxim, PhD. Background.

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179 views • 17 slides
NACST/Seq Engine: NSGA-II vs. e-MOEA

NACST/Seq Engine: NSGA-II vs. e-MOEA

NACST/Seq Engine: NSGA-II vs. e-MOEA. 2004. 08. 24. In-Hee Lee. NSGA-II with controlled eilitism. Combined population t. Parent t. Offspring t. Non dominated sorting. Repeat until termination. Offspring t+1. Parent t+1. Size of fronts follows geometric distribution. Genetic operation:

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291 views • 8 slides

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