Results 271 to 280 of about 6,048,895 (335)
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IEEE transactions on consumer electronics
Edge computing is an effective complementary technology to cloud computing, allowing end devices to offload tasks onto edge base stations (BSs) to satisfy the quality of experience of consumers. Due to the limitation of storage and computing resources, a
Ling-Jie Li +5 more
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Edge computing is an effective complementary technology to cloud computing, allowing end devices to offload tasks onto edge base stations (BSs) to satisfy the quality of experience of consumers. Due to the limitation of storage and computing resources, a
Ling-Jie Li +5 more
semanticscholar +1 more source
On Clustering in Evolutionary Computation
2006 IEEE International Conference on Evolutionary Computation, 2006When the fitness landscape exhibits a multi-modal property, clustering plays a key role in the evolutionary computation, because clusters explicitly or implicitly denote optima present. Correct clusters result in effective and efficient evolution. In this paper, a novel clustering strategy, called Recursive Middling (RM), is proposed.
Jie Yao, Nawwaf Kharma, Yu-Qing Zhu
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Evolutionary Multitasking for Costly Task Offloading in Mobile-Edge Computing Networks
IEEE Transactions on Evolutionary ComputationThe offloading of computation-intensive tasks to an edge server near resource-constrained mobile devices can provide improved application performance and user experience.
Chenjie Yang +5 more
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Introduction to Evolutionary Computing
Evolutionary Computation, 2004This book was written by its two authors with the explicit intention that it would become one of the standard text books on evolutionary computation, to rival ”the greats”, namely those of Goldberg (1989), Davis (1991), Michalewicz (1992-1996), Koza (1992), Back (1995), and Mitchell (1996) .
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Computational Evolutionary Musicology
2007The beginning of Chapter 2 offered a sensible definition of music as temporally organized sound. In the broader sense of this definition, one could arguably state that music is not uniquely human. A number of other animals also seem to have music of some sort. Complex vocalizations can be found in many birds (Marler and Slabbekoorn 2004), as well as in
Miranda, E., Todd, P.
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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 along
Donald D, Hoffman, Manish, Singh
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Evolutionary computation and games
IEEE Computational Intelligence Magazine, 2006Games provide competitive, dynamic environments that make ideal test beds for computational intelligence theories, architectures, and algorithms. Natural evolution can be considered to be a game in which the rewards for an organism that plays a good game of life are the propagation of its genetic material to its successors and its continued survival ...
Simon M. Lucas, Graham Kendall
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Journal of Maritime & Transportation Science, 2019
The Traveling salesman problem (TSP) defines the problem of finding the optimal path between multiple points, connected by paths of a certain cost. This paper applies that problem formulation in the maritime environment, specifically a path planning ...
Sandi Baressi Segota +3 more
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The Traveling salesman problem (TSP) defines the problem of finding the optimal path between multiple points, connected by paths of a certain cost. This paper applies that problem formulation in the maritime environment, specifically a path planning ...
Sandi Baressi Segota +3 more
semanticscholar +1 more source
Power quality enhancement of grid-connected fuel cell using evolutionary computing techniques
International journal of hydrogen energy, 2018Fuel Cell (FC), as a type of new renewable energy sources grid-connected at Point of Common Coupling (PCC), is introduced in this study. This article presents the power quality improvement of the FC integrated to the power network through a chopper and ...
M. Mosaad, H. Ramadan
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Evolutionary Aspects of Reservoir Computing [PDF]
Reservoir computing (RC) is a powerful computational paradigm that allows high versatility with cheap learning. While other artificial intelligence approaches need exhaustive resources to specify their inner workings, RC is based on a reservoir with highly nonlinear dynamics that does not require a fine tuning of its parts. These dynamics project input
Luís F Seoane
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