Results 261 to 270 of about 6,048,895 (335)
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Computational complexity and evolutionary computation
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation, 2007Evolutionary algorithms and other nature-inspired search heuristics like ant colony optimization have been shown to be very successful when dealing with real-world applications or problems from combinatorial optimization. In recent years, analyses has shown that these general randomized search heuristics can be analyzed like "ordinary" randomized ...
Thomas Jansen 0001, Frank Neumann 0001
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Mobile wireless sensor network lifetime maximization by using evolutionary computing methods
Ad hoc networks, 2020Due to the continuous development and progress of wireless communication technology and sensor network technology, wireless sensor networks (WSNs) have gradually become an attractive technology that facilitates people's lives. Due to the extensive use of
Xiu Zhang, Xiaohui Lu, Xin Zhang
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Evolutionary computation: an overview
Proceedings of IEEE International Conference on Evolutionary Computation, 2002We present an overview of the most important representatives of algorithms gleaned from natural evolution, so-called evolutionary algorithms. Evolution strategies, evolutionary programming, and genetic algorithms are summarized, with special emphasis on the principle of strategy parameter self-adaptation utilized by the first two algorithms to learn ...
Thomas Bäck, Hans-Paul Schwefel
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Nature Reviews Genetics, 2001
Evolution does not require DNA, or even living organisms. In computer science, the field known as 'evolutionary computation' uses evolution as an algorithmic tool, implementing random variation, reproduction and selection by altering and moving data within a computer.
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Evolution does not require DNA, or even living organisms. In computer science, the field known as 'evolutionary computation' uses evolution as an algorithmic tool, implementing random variation, reproduction and selection by altering and moving data within a computer.
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IEEE Transactions on Instrumentation and Measurement
Industrial robots are regarded as essential instruments for advanced industry upgrading. The kinematic parameters of an industrial robot should be calibrated precisely to guarantee its absolute positioning accuracy, which can be implemented via an ...
Ting Chen, Shuai Li, Yan Qiao, Xin Luo
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Industrial robots are regarded as essential instruments for advanced industry upgrading. The kinematic parameters of an industrial robot should be calibrated precisely to guarantee its absolute positioning accuracy, which can be implemented via an ...
Ting Chen, Shuai Li, Yan Qiao, Xin Luo
semanticscholar +1 more source
An evolutionary fuzzy scheduler for multi-objective resource allocation in fog computing
Future generations computer systems, 2021With rapid development of the Internet of Things (IoT), a vast amount of raw data produced by IoT devices needs to be processed promptly. Compared to cloud computing, fog computing nodes are closer to data resource for decreasing the end-to-end ...
Chu-ge Wu +3 more
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IEEE Internet of Things Journal
The wireless sensor network (WSN) profoundly impacts the routing technology of the Internet of Things, which has received tremendous attention in terms of energy cost, Quality of Service (QoS) and security.
Mengying Xu +4 more
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The wireless sensor network (WSN) profoundly impacts the routing technology of the Internet of Things, which has received tremendous attention in terms of energy cost, Quality of Service (QoS) and security.
Mengying Xu +4 more
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Evolutionary computation and cryptology
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2016Evolutionary Computation (EC) has been used with great success on various real-world problems. One domain abundant with numerous difficult problems is cryptology. Cryptology can be divided into cryptography, that informally speaking considers methods how to ensure secrecy (but also authenticity, privacy, etc.), and cryptanalysis, that deals with ...
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Proceedings of the 12th annual conference companion on Genetic and evolutionary computation, 2007
The field of Evolutionary Computation has experienced tremendous growth over the past 20 years, resulting in a wide variety of evolutionary algorithms and applications. The result poses an interesting dilemma for many practitioners in the sense that, with such a wide variety of algorithms and approaches, it is often hard to se the relationships between
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The field of Evolutionary Computation has experienced tremendous growth over the past 20 years, resulting in a wide variety of evolutionary algorithms and applications. The result poses an interesting dilemma for many practitioners in the sense that, with such a wide variety of algorithms and approaches, it is often hard to se the relationships between
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Hyperinteractive Evolutionary Computation
IEEE Transactions on Evolutionary Computation, 2011We propose hyperinteractive evolutionary computation (HIEC), a class of IEC in which the user actively chooses when and how each evolutionary operator is applied. To evaluate the benefits of HIEC, we conducted three human-subject experiments. The first two experiments showed that HIEC is associated with a more positive user experience and produced ...
Benjamin James Bush, Hiroki Sayama
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