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An evolutionary algorithm with a mix of ideas from GA, PSO, CLONALG etc.

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Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
1ft53.atsp.out		1ft53.atsp.out
RAoutput.txt		RAoutput.txt
ReadMe.txt		ReadMe.txt
apply_nirvana.m		apply_nirvana.m
attain_nirvana.m		attain_nirvana.m
br17.atsp		br17.atsp
disperse.m		disperse.m
find_all.m		find_all.m
ft53.atsp		ft53.atsp
ft70.atsp		ft70.atsp
ftv170.atsp		ftv170.atsp
ftv33.atsp		ftv33.atsp
get_color_code.m		get_color_code.m
get_data.m		get_data.m
get_discard_population.m		get_discard_population.m
get_max_influence.m		get_max_influence.m
get_population.m		get_population.m
get_specialization_marker.m		get_specialization_marker.m
get_total_era.m		get_total_era.m
influence1.m		influence1.m
influence2.m		influence2.m
influence3.m		influence3.m
influence_degree.m		influence_degree.m
karma.m		karma.m
kro124p.atsp		kro124p.atsp
make_atheists.m		make_atheists.m
make_closed_ones_influence.m		make_closed_ones_influence.m
max_self_study.m		max_self_study.m
norm_scale01.m		norm_scale01.m
plot_generation.m		plot_generation.m
random_locator.m		random_locator.m
rbg403.atsp		rbg403.atsp
rbg443.atsp		rbg443.atsp
reincarnation.m		reincarnation.m
self_study.m		self_study.m
set_population_vars.m		set_population_vars.m
spiritualize_commoners.m		spiritualize_commoners.m
spiritualize_gurus.m		spiritualize_gurus.m
spread_all.m		spread_all.m
spread_converts_conformists.m		spread_converts_conformists.m
upgrade_human.m		upgrade_human.m
yonee_process.m		yonee_process.m

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Reincarnation Algorithm (RA)

Copyright (c) 2010, Anuraganand Sharma - All rights reserved.

This Matlab code is the implementation of Reincarnation Algorithm (RA) proposed by Anuraganand Sharma in the paper:
A. Sharma, “A new optimizing algorithm using reincarnation concept,” in 11th IEEE International Symposium on Computational Intelligence and Informatics (CINTI), 2010, pp. 281–288.

How to run:
1 - The main program is written in reincarnation.m. Run this program.
2 - It asks for run number. You may enter 1,2,3...
3 - Once the execution is completed, it shows the graph for (-)fitness vs iteration.
4 - This code is only in the draft form as I couldn't find time to improve it further.