Results 281 to 290 of about 259,960 (340)

A Survey on Proof of Sequential Work: Development, Security Analysis, and Application Prospects. [PDF]

Entropy (Basel)
Zhang J, Ran Y, Huang X, Zuo C, Duan J, Pan Y, Wang L, Wang J.   +7 more
europepmc   +1 more source

Self-evolving cognitive substrates through metabolic data processing and recursive self-representation with autonomous memory prioritization mechanisms. [PDF]

Front Artif Intell
Nehzati M.
europepmc   +1 more source

Quantum-inspired improved African vultures optimization algorithm for efficient placement of IoT service in edge computing environment. [PDF]

Sci Rep
Panjavarnam B, Kanimozhi N, Nisha SR, Dharini N.   +3 more
europepmc   +1 more source

Solving the nurse scheduling problem using evolutionary computation algorithms

Katarina Jurič
openalex  

Designer-driven Procedural Game Content Generation using Multi-agent Evolutionary Computation

, 2019
Jan Peter Kruse
openalex   +1 more source

Reproducibility in Evolutionary Computation [PDF]

ACM Transactions on Evolutionary Learning, 2021
Experimental studies are prevalent in Evolutionary Computation ( EC ), and concerns about the reproducibility and replicability of such studies have increased in recent times, reflecting similar concerns in other scientific fields.
Manuel Lopez-Ibanez, Jürgen Branke, Luis Paquete   +2 more
exaly   +5 more sources

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Hyperinteractive Evolutionary Computation

IEEE Transactions on Evolutionary Computation, 2011
We 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
exaly   +2 more sources

Computational complexity and evolutionary computation

Proceedings of the 9th annual conference companion on Genetic and evolutionary computation, 2007
Evolutionary 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
openaire   +1 more source

Evolutionary computation

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.
openaire   +2 more sources