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A critical problem in benchmarking and analysis of evolutionary computation methods
Nat. Mac. Intell., 2022J. Kůdela
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Evolutionary biology, 2019
Evolutionary computation (EC) is the area of computer science and engineering that concerns itself with algorithms derived from formalizing natural evolution.
W. Banzhaf, Ting Hu
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Evolutionary computation (EC) is the area of computer science and engineering that concerns itself with algorithms derived from formalizing natural evolution.
W. Banzhaf, Ting Hu
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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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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 biological perspective on evolutionary computation
Nature Machine Intelligence, 2021R. Miikkulainen, S. Forrest
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Evolutionary Computation for Evolutionary Theory
2003Evolutionary computation has developed primarily as an engineering tool for finding solutions to difficult problems. In the shadow of this success, a revolution has been building in evolutionary theory. Evolutionary models, often quite similar to genetic algorithms, are being used to extend our theoretical understanding of biology.
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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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Metaheuristic and Evolutionary Computation: Algorithms and Applications
Studies in Computational Intelligence, 2021semanticscholar +1 more source
2018
Evolutionary computation is regarded as significant research area in computer science and has gained popularity in recent years because of its significant advantages as compared to deterministic methods. Evolutionary computation methods are highly preferred to solve multi-objective optimization problems where objective functions with conflicts are ...
Anand Nayyar +3 more
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Evolutionary computation is regarded as significant research area in computer science and has gained popularity in recent years because of its significant advantages as compared to deterministic methods. Evolutionary computation methods are highly preferred to solve multi-objective optimization problems where objective functions with conflicts are ...
Anand Nayyar +3 more
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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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