Results 311 to 320 of about 3,655,523 (362)

Helioseismic inference of the solar radiative opacity. [PDF]

Nat Commun
Buldgen G, Pain JC, Cossé P, Blancard C, Gilleron F, Pradhan AK, Fontes CJ, Colgan J, Noels A, Christensen-Dalsgaard J, Deal M, Ayukov SV, Baturin VA, Oreshina AV, Scuflaire R, Pinçon C, Lebreton Y, Corbard T, Eggenberger P, Hakel P, Kilcrease DP.   +20 more
europepmc   +1 more source

Editorial. [PDF]

Theory Biosci
Jost J.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Evolutionary computation: a unified approach

Proceedings of the 12th annual conference companion on Genetic and evolutionary computation, 2018
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
Kenneth A. De Jong
semanticscholar   +3 more sources

Evolutionary Computation

Advances in Swarm Intelligence for Optimizing Problems in Computer Science, 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 ...
A. Nayyar, Surbhi Garg, Deepak Gupta, Ashish Khanna   +3 more
semanticscholar   +3 more sources

Evolutionary Transfer Optimization - A New Frontier in Evolutionary Computation Research

IEEE Computational Intelligence Magazine, 2021
The evolutionary algorithm (EA) is a nature-inspired population-based search method that works on Darwinian principles of natural selection. Due to its strong search capability and simplicity of implementation, EA has been successfully applied to solve ...
K. Tan, Liang Feng, Min Jiang
semanticscholar   +1 more source

Toward Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation

IEEE Transactions on Cybernetics, 2020
A multifactorial evolutionary algorithm (MFEA) is a recently proposed algorithm for evolutionary multitasking, which optimizes multiple optimization tasks simultaneously.
Lei Zhou, Liang Feng, K. Tan, J. Zhong, Zexuan Zhu, Kai Liu, Chao Chen   +6 more
semanticscholar   +1 more source

Evolutionary computation [PDF]

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

Kriging Assisted Surrogate Evolutionary Computation to Solve Optimal Power Flow Problems

IEEE Transactions on Power Systems, 2020
This 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 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, Frank Neumann
openaire   +2 more sources

Evolutionary computation and cryptology [PDF]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2016
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