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Computational Evolutionary Perception
Perception, 2012Marr proposed that human vision constructs “a true description of what is there”. He argued that to understand human vision one must discover the features of the world it recovers and the constraints it uses in the process. Bayesian decision theory (BDT) is used in modern vision research as a probabilistic framework for understanding human vision ...
Donald D. Hoffman, Manish Singh
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Evolutionary computation and games
Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2016In recent years, the field of Computational Intelligence and Games (CIG) has enjoyed rapid progress and a sharp rise in popularity. In this field, algorithms from across the computational intelligence spectrum are tested on benchmarks based on e.g. board games and video games, and new CI-based solutions are developed for problems in game development ...
Georgios N. Yannakakis +2 more
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Evolutionary Computation for Community Detection in Networks: A Review
IEEE Transactions on Evolutionary Computation, 2018In today’s world, the interconnections among objects in many domains are often modeled as networks, with nodes representing the objects and edges the existing relationships among them.
C. Pizzuti
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On the Foundations and the Applications of Evolutionary Computing
2013Genetic type particle methods are increasingly used to sample from complex high-dimensional distributions. They have found a wide range of applications in applied probability, Bayesian statistics, information theory, and engineering sciences. Understanding rigorously these new Monte Carlo simulation tools leads to fascinating mathematics related to ...
Pierre del Moral +3 more
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Scalable Computing for Evolutionary Genomics [PDF]
, 2012 Genomic data analysis in evolutionary biology is becoming so computationally intensive that analysis of multiple hypotheses and scenarios takes too long on a single desktop computer. In this chapter, we discuss techniques for scaling computations through parallelization of calculations, after giving a quick overview of advanced programming techniques ...
Steffen Möller +4 more
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Benchmarking evolutionary computation approaches to insider threat detection
Annual Conference on Genetic and Evolutionary Computation, 2018Insider threat detection represents a challenging problem to companies and organizations where malicious actions are performed by authorized users. This is a highly skewed data problem, where the huge class imbalance makes the adaptation of learning ...
Duc C. Le +3 more
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A critical problem in benchmarking and analysis of evolutionary computation methods
Nat. Mac. Intell., 2022J. Kůdela
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Topics in Evolutionary Computation [PDF]
, 2000 Abstract : This project contributed new principles for the development of intelligent, mobile robots performing complex tasks in unpredictable environments. In the behavior-based approach to robot design, the overall performance of the robot arises through the interaction of multiple, relatively simple, behaviors.
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A biological perspective on evolutionary computation
Nature Machine Intelligence, 2021R. Miikkulainen, S. Forrest
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A survey on network community detection based on evolutionary computation
International Journal of Bio-Inspired Computation (IJBIC), 2016Uncovering community structures of a complex network can help us to understand how the network functions. Over the past few decades, network community detection has attracted growing research interest from many fields.
Qing Cai +3 more
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