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检索条件"主题词=quality-diversity algorithms"
10 条 记 录,以下是1-10 订阅
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Ensemble Feature Extraction for Multi-Container quality-diversity algorithms
Ensemble Feature Extraction for Multi-Container Quality-Dive...
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2nd Genetic and Evolutionary Computation Conference (GECCO)
作者: Cazenille, Leo Ochanomizu Univ Tokyo Japan
quality-diversity algorithms search for large collections of diverse and high-performing solutions, rather than just for a single solution like typical optimisation methods. They are specially adapted for multi-modal ... 详细信息
来源: 评论
QED: Using quality-Environment-diversity to Evolve Resilient Robot Swarms
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IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION 2021年 第2期25卷 346-357页
作者: Bossens, David M. Tarapore, Danesh Univ Southampton Sch Elect & Comp Sci Southampton SO17 1BJ Hants England
In quality-diversity algorithms, the behavioral diversity metric is a key design choice that determines the quality of the evolved archives. Although behavioral diversity is traditionally obtained by describing the ob... 详细信息
来源: 评论
Self-Referential quality diversity Through Differential Map-Elites
Self-Referential Quality Diversity Through Differential Map-...
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2nd Genetic and Evolutionary Computation Conference (GECCO)
作者: Choi, Tae Jong Togelius, Julian Kyungil Univ Gyongsan South Korea NYU Brooklyn NY 11201 USA
Differential MAP-Elites is a novel algorithm that combines the illumination capacity of CVT-MAP-Elites with the continuous-space optimization capacity of Differential Evolution. The algorithm is motivated by observati... 详细信息
来源: 评论
Illuminating super mario bros: quality-diversity within platformer level generation  20
Illuminating super mario bros: Quality-diversity within plat...
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2020 Genetic and Evolutionary Computation Conference, GECCO 2020
作者: Withington, Oliver Queen Mary University of London United Kingdom
We aim to build on the current understanding of how quality-diversity (QD) algorithms can be applied to Procedural Content Generation (PCG) for video games with our platform, Illuminated-Mario. The work presented here... 详细信息
来源: 评论
Increasing Trust in Meta-Heuristics by Using MAP-Elites  19
Increasing Trust in Meta-Heuristics by Using MAP-Elites
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Genetic and Evolutionary Computation Conference (GECCO)
作者: Urquhart, Neil Guckert, Michael Powers, Simon Edinburgh Napier Univ Sch Comp Edinburgh Midlothian Scotland TH Mittelhessen Giessen Germany
Intelligent AI systems using approaches containing emergent elements often encounter acceptance problems. Results do not get sufficiently explained and the procedure itself can not be fully retraced because the flow o... 详细信息
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Exploring Self-Assembling Behaviors in a Swarm of Bio-micro-robots using Surrogate-Assisted MAP-Elites
Exploring Self-Assembling Behaviors in a Swarm of Bio-micro-...
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IEEE Symposium Series on Computational Intelligence (SSCI)
作者: Cazenille, Leo Bredeche, Nicolas Aubert-Kato, Nathanael Ochanomizu Univ Dept Informat Sci Tokyo Japan Sorbonne Univ Inst Syst Intelligents & Robot ISIR CNRS F-75005 Paris France
Swarms of molecular robots are a promising approach to create specific shapes at the microscopic scale through self-assembly. However, controlling their behavior is a challenging problem as it involves complex non-lin... 详细信息
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Evolving Gaits for Damage Control in a Hexapod Robot
Evolving Gaits for Damage Control in a Hexapod Robot
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2nd Genetic and Evolutionary Computation Conference (GECCO)
作者: Mailer, Christopher Nitschke, Geoff Raw, Leanne Univ Cape Town Cape Town South Africa
Autonomous robots are increasingly used in remote and hazardous environments, where damage to sensory-actuator systems cannot be easily repaired. Such robots must therefore have controllers that continue to function e... 详细信息
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Learning behaviour-performance maps with meta-evolution
Learning behaviour-performance maps with meta-evolution
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Genetic and Evolutionary Computation Conference (GECCO)
作者: Bossens, David M. Mouret, Jean-Baptiste Tarapore, Danesh Univ Southampton Southampton Hants England Univ Lorraine INRIA CNRS Nancy France
The MAP-Elites quality-diversity algorithm has been successful in robotics because it can create a behaviorally diverse set of solutions that later can be used for adaptation, for instance to unanticipated damages. In... 详细信息
来源: 评论
An Illumination Algorithm Approach to Solving the Micro-Depot Routing Problem
An Illumination Algorithm Approach to Solving the Micro-Depo...
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Genetic and Evolutionary Computation Conference (GECCO)
作者: Urquhart, Neil Hoehl, Silke Hart, Emma Napier Univ Sch Comp Edinburgh Midlothian Scotland Frankfurt Univ Appl Sci Frankfurt Germany
An increasing emphasis on reducing pollution and congestion in city centres combined with an increase in online shopping is changing the ways in which logistics companies address vehicle routing problems (VRP). We int... 详细信息
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Minimize Surprise MAP-Elites: A Task-Independent MAP-Elites Variant for Swarms  22
Minimize Surprise MAP-Elites: A Task-Independent MAP-Elites ...
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Genetic and Evolutionary Computation Conference (GECCO)
作者: Kaiser, Tanja Katharina Hamann, Heiko Univ Lubeck Lubeck Germany
Swarm robotics controllers are often automatically generated using methods of evolutionary computation with a task-specific fitness function to guide the optimization process. By contrast, our minimize surprise approa... 详细信息
来源: 评论