代码搜索：Evolution

找到约 665 项符合「Evolution」的源代码

代码结果 665
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m evolve_vector_eno2.m

function [delta] = evolve_vector_ENO2(phi, dx, dy, u_ext, v_ext) % % Finds the amount of evolution under a vector field % based force and using 2nd order accurate ENO scheme % % Author: Baris Sum
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www.eeworm.com/read/139650/13145148

m evolve_vector_eno3.m

function [delta] = evolve_vector_ENO3(phi, dx, dy, u_ext, v_ext) % % Finds the amount of evolution under a vector field % based force and using 3rd order accurate ENO scheme % % Author: Baris Sum
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www.eeworm.com/read/139460/13155314

m gademo1.m

% GADEMO1 Introduction to the Genetic Optimization Toolbox % Binary and Real-Valued Simulation Evolution for Matlab % Copyright (C) 1996 C.R. Houck, J.A. Joines, M.G. Kay % % C.R. Houck, J.Joines,
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www.eeworm.com/read/137209/13340155

m gademo1.m

% GADEMO1 Introduction to the Genetic Optimization Toolbox % Binary and Real-Valued Simulation Evolution for Matlab % Copyright (C) 1996 C.R. Houck, J.A. Joines, M.G. Kay % % C.R. Houck, J.Joines,
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www.eeworm.com/read/303815/13808159

m gademo1.m

% GADEMO1 Introduction to the Genetic Optimization Toolbox % Binary and Real-Valued Simulation Evolution for Matlab % Copyright (C) 1996 C.R. Houck, J.A. Joines, M.G. Kay % % C.R. Houck, J.Joines,
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www.eeworm.com/read/400581/11572460

m gademo1.m

% GADEMO1 Introduction to the Genetic Optimization Toolbox % Binary and Real-Valued Simulation Evolution for Matlab % Copyright (C) 1996 C.R. Houck, J.A. Joines, M.G. Kay % % C.R. Houck, J.Joines,
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www.eeworm.com/read/154811/11925100

m gademo1.m

% GADEMO1 Introduction to the Genetic Optimization Toolbox % Binary and Real-Valued Simulation Evolution for Matlab % Copyright (C) 1996 C.R. Houck, J.A. Joines, M.G. Kay % % C.R. Houck, J.Joines,
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www.eeworm.com/read/152967/12072506

m gademo1.m

% GADEMO1 Introduction to the Genetic Optimization Toolbox % Binary and Real-Valued Simulation Evolution for Matlab % Copyright (C) 1996 C.R. Houck, J.A. Joines, M.G. Kay % % C.R. Houck, J.Joines,
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www.eeworm.com/read/338523/12296523

asv findmaxusinges.asv

% findMaxUsingES.m % Find max. of sinc(x)sinc(y) in -5 to 5 in x,y using % Evolution strategy. %% PenChen Chou, 2004-5-11 rand('state',sum(100*clock)); % Seed % Initial popu genSize=1500; pop
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www.eeworm.com/read/338523/12296887

m findminusinges.m

% findMinUsingES.m % Find min. of sinc(x)sinc(y) in -5 to 5 in x,y using % Evolution strategy. %% PenChen Chou, 2004-5-11 rand('state',sum(100*clock)); % Seed % Initial popu genSize=1500; pop
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