Results 51 to 60 of about 1,437,470 (165)

A refined invariant subspace method and applications to evolution equations

, 2012
The invariant subspace method is refined to present more unity and more diversity of exact solutions to evolution equations. The key idea is to take subspaces of solutions to linear ordinary differential equations as invariant subspaces that evolution ...
A. S. Fokas, C. R. Zhu, C. X. Li, C. Z. Qu, C. Z. Qu, C. Z. Qu, G. W. Bluman, J. R. King, L. Debnath, P. J. Olver, R. Hirota, R. Hirota, R. Z. Zhdanov, S. F. Shen, S. R. Svirshchevskii, S. R. Svirshchevskii, S. S. Titov, V. A. Galaktionov, V. A. Galaktionov, W. X. Ma, W. X. Ma, W. X. Ma, W. X. Ma, W. X. Ma, W. X. Ma, W. X. Ma, W. X. Ma, W.X. Ma, Wen-Xiu Ma   +28 more
core   +1 more source

DetPy (Differential Evolution Tools): A Python toolbox for solving optimization problems using differential evolution

SoftwareX
The differential evolution algorithm, introduced in 1997, remains one of the most frequently used methods for solving complex optimization problems.
Błażej Zieliński, Szymon Ściegienny, Hubert Orlicki, Wojciech Książek   +3 more
doaj   +1 more source

Differential evolution with biological-based mutation operator

Engineering Science and Technology, an International Journal, 2020
Evolutionary algorithms are swiftly gaining recognition where the application of the same in solving complex real-world problems is beneficial. One of the best well known Evolutionary algorithms is Differential Evolution (DE).
Shashi Prabha, Raghav Yadav
doaj   +1 more source

Deterministic Equations for Stochastic Spatial Evolutionary Games [PDF]

, 2010
Spatial evolutionary games model individuals who are distributed in a spatial domain and update their strategies upon playing a normal form game with their neighbors.
Hwang, Sung-Ha, Katsoulakis, Markos, Rey-Bellet, Luc   +2 more
core   +2 more sources

Exact number conserving phase-space dynamics of the M-site Bose-Hubbard model

, 2008
The dynamics of M-site, N-particle Bose-Hubbard systems is described in quantum phase space constructed in terms of generalized SU(M) coherent states.
A. M. Perelomov, C. W. Gardiner, D. Witthaut, F. Trimborn, H. J. Korsch, W. P. Schleich   +5 more
core   +1 more source

Memory-Based Differential Evolution Algorithms with Self-Adaptive Parameters for Optimization Problems

Mathematics
In this study, twelve modified differential evolution algorithms with memory properties and adaptive parameters were proposed to address optimization problems.
Shang-Kuan Chen, Gen-Han Wu, Yu-Hsuan Wu
doaj   +1 more source

Topology Optimization of Structure Using Differential Evolution [PDF]

Journal of Systemics, Cybernetics and Informatics, 2008
The population-based evolutionary algorithms have emerged as powerful mechanism for finding optimum solutions of complex optimization problems. A promising new evolutionary algorithm, differential evolution, has garnered significant attention in the ...
Chun-Yin Wu, Ko-Ying Tseng
doaj  

Smooth Curve Fitting of Mobile Robot Trajectories Using Differential Evolution

IEEE Access, 2020
Mobile robots have recently attracted the attention and applicability in field areas ubiquitously. Within the context of autonomous navigation, path planning is relevant for comfortability, safety, execution time and energy savings.
Victor Parque, Tomoyuki Miyashita
doaj   +1 more source

Elliptic operators and maximal regularity on periodic little-H\"older spaces

, 2011
We consider one-dimensional inhomogeneous parabolic equations with higher-order elliptic differential operators subject to periodic boundary conditions.
LeCrone, Jeremy
core   +1 more source

An area coverage algorithm for wireless sensor networks based on differential evolution

International Journal of Distributed Sensor Networks, 2018
Lifetime requirements and coverage demands are emphasized in wireless sensor networks. An area coverage algorithm based on differential evolution is developed in this study to obtain a given coverage ratio ε .
Ning-ning Qin, Jia-le Chen
doaj   +1 more source