Results 291 to 300 of about 3,031,483 (337)
Evolutionary computation [PDF]
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
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Toward Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation
IEEE Transactions on Cybernetics, 2020A multifactorial evolutionary algorithm (MFEA) is a recently proposed algorithm for evolutionary multitasking, which optimizes multiple optimization tasks simultaneously.
Lei Zhou+6 more
semanticscholar +1 more source
Evolutionary computation and cryptology [PDF]
Evolutionary 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 ...
openaire +2 more sources
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, Frank Neumann
openaire +2 more sources
Kriging Assisted Surrogate Evolutionary Computation to Solve Optimal Power Flow Problems
IEEE Transactions on Power Systems, 2020This paper proposes a Kriging assisted strategy to expedite evolutionary computation for solving Optimal Power Flow (OPF) problems. First, two algorithms were developed–a Kriging Assisted Genetic Algorithm (KAGA) and a Kriging Assisted Particle Swarm ...
Zhida Deng, M. Rotaru, J. Sykulski
semanticscholar +1 more source
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
openaire +3 more sources
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
openaire +2 more sources
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
semanticscholar +1 more source
Multithreaded Evolutionary Computing [PDF]
There are described different methods of usage of the standard.NET class Task for the creation of multithreaded applications in C#. For instance, to separate the thread which performs expensive calculations from the one, which supports the Windows application’s user interface.
S. M. Yaroshko, S. A. Yaroshko
openaire +1 more source
Scalable Computing for Evolutionary Genomics [PDF]
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
openaire +2 more sources