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@dietmarwo
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# Copyright (c) Dietmar Wolz.
#
# Optimization model solutions for https://www.esa.int/Science_Exploration/Space_Science/Solar_Orbiter
# Computed with https://github.com/dietmarwo/fast-cma-es
# Solutions are for pykep.trajopt.gym._solar_orbiter._solar_orbiter_udp_1dsm
# Requires pykep PR branch https://github.com/esa/pykep/pull/127
from pykep.planet import jpl_lp
import matplotlib.pyplot as plt
from pykep.trajopt.gym._solar_orbiter import _solar_orbiter_udp_1dsm
import pygmo as pg
sols = [
[1.2731043381517397, [7454.227192641146, 0.4423260291238188, 0.6302883057062232, 5599.894458722009, 0.7401095862496564, 404.2492226073736, 0.15597148623687598, 1.0580076618074068, 0.5101575847266027, 224.70077856657431, -2.4933856179307377, 1.6963855192653385, 0.2901090720064779, 166.75556035570827, 1.6526396514193433, 1.0991472801826805, 0.7121915384668397, 332.20042106080774, -0.23546201156899235, 1.0578347798406122, 0.4655083705172811, 224.70070445614851, 0.036302301169642275, 1.0585127275180912, 0.5295285687741118, 224.70066944051027, 0.9905167586625055, 1.0579496308868774, 0.40373301194586536, 674.102018785453, 0.4999699781508085, 1.0585074637313125, 0.862087191395979, 449.4013947111085, 0.09134030084117842, 1.0611243930405114, 0.506628071700843, 449.40141784746976, 1.042759861414433, 1.5785454129349583]],
[1.2737886828831804, [7454.238251492441, 0.4423058580774228, 0.630285223645446, 5599.799869728616, 0.513680293841809, 404.2394748039178, 0.15601825452706258, 1.0587412395723677, 0.4494016216673294, 224.70078743427206, -2.4928843203149764, 1.6975885667698047, 0.32047947578568253, 166.75958802466832, 1.6526554471237893, 1.0990410528983983, 0.6736652280544257, 332.19902789080663, -0.23548300098968802, 1.0578356181893602, 0.4906155989355167, 224.7006889245315, 0.036306179656544195, 1.0583888658531833, 0.5331647385629837, 224.7006644906772, 0.9905878508987016, 1.0579982181750167, 0.16076961598993011, 674.1020119702163, 0.4998200845566113, 1.0580139006740168, 0.5238589475692293, 449.40139384954904, 0.5377481716627025, 1.0579183992034422, 0.5049121004265991, 674.1021195512287, 0.400018925667041, 2.464700464589708]],
[1.2859887864911652, [7454.238126963987, 0.44236000813710447, 0.6302819471455864, 5600.055044031475, 0.7056144785740822, 404.24631492170477, 0.1559500698797527, 1.0578745881860923, 0.4499193207188066, 224.70078370022568, -2.4933501310735546, 1.696255555659192, 0.43346592098303094, 166.76616993192528, 1.6527318328272471, 1.0990443229353561, 0.6494094173847071, 332.1928234847752, -0.23550697691900324, 1.0578337222029401, 0.5189149524830553, 224.70067903753494, 0.03631812804484939, 1.0579811550982219, 0.5588481375490766, 224.70065945500124, 0.9906337894783006, 1.0580118711766735, 0.16054735304047085, 674.1020114300417, 0.07089491900623733, 1.0587669762375487, 0.1502390962573047, 674.1020942196161, 1.0607033435269704, 1.0578683698034126, 0.7108815105514532, 674.1021106940899, 0.29495413899244555, 1.391644622381182]],
[1.3019959656334053, [7339.973351242601, 0.16678031270522256, 0.42548448618357637, 5598.168091447848, 0.5474023181318559, 324.9263058112075, 0.14382174469847678, 1.0580939915345373, 0.48879740391670523, 224.70111570788256, -2.379589418688921, 1.5560972739513574, 0.43148932388711536, 110.60592465289795, 1.6033230788862598, 1.1002230682328915, 0.6501144385724462, 281.41801144415496, -0.26783356102082023, 1.0578323470344952, 0.5220273134663379, 224.7007276274756, 0.6988247276022342, 1.0578456039752107, 0.47528197585252235, 898.8027698615746, 0.2675959187864018, 1.0582077032243913, 0.8406697167814432, 674.1021530989447, 0.49623397646370976, 1.0580028024669492, 0.46883503044027447, 449.4014656169737, 0.5312046185653554, 1.057883818561864, 0.49168040858371426, 674.1022163675128, 0.4113972416044722, 1.805641487356445]],
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[1.304779762781487, [7357.241975653887, 0.11693216286946741, 0.4272872376225704, 5599.023670823682, 0.5522332132679534, 309.4010094673352, 0.1612590458465116, 1.060640407014723, 0.46455564231258617, 224.7011524938946, -2.352249674711493, 1.6260010114266632, 0.3426871861537266, 110.80891642277122, 1.5869985719408966, 1.0992936159575555, 0.583899324219961, 280.5374844659134, -0.2654832191665376, 1.0578805394729416, 0.5163062625163742, 224.70072312183916, 0.6943356475243204, 1.057832143898472, 0.2752890124632583, 898.8027869235214, 0.2672105700588487, 1.0595590447014758, 0.5907849071465122, 674.1021645193877, 0.06898342957930612, 1.0601329530161283, 0.35174799483704455, 674.1022093962315, 1.0459968195369675, 1.0579432416661518, 0.489191053962917, 674.1022195660972, 0.3381904835977988, 1.2201989285225636]],
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[1.3196692987796774, [7464.724777213146, 0.4163981941445423, 0.621356651661241, 5840.861253211459, 0.5, 394.24600098152945, 0.1642369166637916, 1.0578341456554705, 0.3483689675506481, 224.7007333988087, -2.5464214878163185, 1.5618377821234422, 0.4051279442473237, 166.37688115782365, 1.657676369715271, 1.13183478186365, 0.6843418614019594, 331.81352301855003, -0.25425857271114877, 1.1398228609073864, 0.483988493708568, 224.70064576626433, 0.03392019374727923, 1.1418572057071448, 0.5276848778383117, 674.1019481650943, 0.03629570022241094, 1.0578322405519858, 0.7766212166993445, 449.4013638987953, 0.034702002097913714, 1.1129379354973545, 0.21173043142963258, 674.1020853237087, 1.021297712516181, 1.083714564395762, 0.38489877026593833, 674.1021191133327, 1.364775025589214, 1.058749750302525]],
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[1.323079436275061, [7339.462268910124, 0.16594066648424594, 0.42484776141012265, 5596.876539714046, 0.40868584211508807, 325.2386824968369, 0.14455620930335025, 1.0578321362742635, 0.48164314874617054, 224.70111085191803, -2.38813363564945, 1.5529541739137218, 0.41606810980133735, 110.82876393660483, 1.601187198339823, 1.1091864629342267, 0.6209108363291714, 281.43064909014555, 0.591271595462779, 1.0578607767234771, 0.6260979859959566, 674.1021856381507, 0.0685219676401729, 1.057969121321347, 0.337402483629563, 674.1020841885811, 0.49565828657952776, 1.0578784431946906, 0.45732821352485264, 449.40144301558263, 0.08794190780300828, 1.0588486444525447, 0.14248118321094033, 449.40147131898567, 0.5308433635523522, 1.0578395492392492, 0.6960358827948309, 674.1022188050708, 0.6069594075043072, 2.9752914849382814]],
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[1.6927330648713164, [7301.49353598798, 0.9024225394944478, 0.3551488530208349, 5444.0918435189205, 0.34032870386799385, 334.1527521301471, 2.380516840317351, 1.0578353633492776, 0.3157550565902618, 898.8029714393866, -1.7003132155382992, 1.0996333164401455, 0.5236718954188844, 104.66535058688049, 0.8980915360289501, 1.26608433526549, 0.3131659414972697, 190.03132840299415, 2.125258571330837, 1.0578322981629147, 0.8573419927246615, 674.1024276291647, -0.7608939894269867, 1.0578894684071396, 0.44161989548986263, 224.70069646742976, 2.2887189577625264, 1.0581312678641603, 0.8570883935251753, 674.1024257010641, 0.0944473846816216, 1.0598297385520223, 0.8793851394151831, 674.1019179976954, 0.47972115136304994, 1.058317378633486, 0.5387422890777039, 449.401289933251, 0.5942077017929269, 1.0578757804237715]],
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[2.0940287159314717, [7400.525992099079, 0.18707175559234737, 0.5241886402498931, 5598.877540894127, 0.5597399164732703, 405.1493165483408, 2.89831768477362, 1.0578327968654304, 0.32837500697196, 224.7004146290736, -0.2813408091171009, 1.1013425759881859, 0.11350063517832373, 55.803486178766555, 1.653271773238644, 4.22619837041227, 0.4767716059246619, 171.67702512908042, 0.08613266739083975, 1.0587279855318574, 0.49739606433268396, 224.70101829053056, 0.04389284781589931, 1.060479188747097, 0.3734685898570015, 224.70099050943222, 0.002301220843982915, 24.603982920706656, 0.686051868424256, 449.4019083515372, 3.138846512027125, 20.404563615878967, 0.4785795620256356, 674.1028252008063, -0.7559664134490647, 1.0629322091324456, 0.6518599204485418, 674.1028751246597, 1.611182666000509, 1.0914022556180147]],
]
def verify(ys, xs):
earth = jpl_lp("earth")
venus = jpl_lp("venus")
seq = [earth, venus, venus, earth, venus, venus, venus, venus, venus, venus]
for i in range(len(ys)):
solar_orbiter = _solar_orbiter_udp_1dsm([7000, 8000], seq=seq, max_revs=3)
prob = pg.problem(pg.unconstrain(solar_orbiter,method="weighted",weights=[1.0, 10.0, 100, 100]))
y0 = ys[i]
x = xs[i]
y = prob.fitness(x)[0]
print(y0, y, y0-y)
assert abs(y0 - y) < 0.000001
def check_good_solution(x):
earth = jpl_lp("earth")
venus = jpl_lp("venus")
seq = [earth, venus, venus, earth, venus, venus, venus, venus, venus, venus]
solar_orbiter = _solar_orbiter_udp_1dsm([7000, 8000], seq=seq, max_revs=3)
prob = pg.problem(pg.unconstrain(solar_orbiter,method="weighted",weights=[1.0, 10.0, 100, 100]))
print (str(prob.fitness(x)))
solar_orbiter.pretty(x)
solar_orbiter.plot(x)
solar_orbiter.plot_distance_and_flybys(x)
plt.show()
if __name__ == '__main__':
ys = [s[0] for s in sols]
xs = [s[1] for s in sols]
verify(ys, xs)
check_good_solution(xs[1])
# Copyright (c) Dietmar Wolz.
#
# Optimization model solutions for https://www.esa.int/Science_Exploration/Space_Science/Solar_Orbiter
# Computed with https://github.com/dietmarwo/fast-cma-es
# Solutions are for pykep.trajopt.gym._solar_orbiter._solo_mgar_udp
# Requires pykep PR branch https://github.com/esa/pykep/pull/148
from pykep.planet import jpl_lp
import matplotlib.pyplot as plt
from pykep.trajopt.gym._solo_mgar import _solo_mgar_udp
import pygmo as pg
sols = [
[1.2426094680789486, [7454.278993395153, 403.6395398257569, 166.1680780100189, 332.7224724932465, 0.15726995504072397, -0.23327413428484461, 0.6973714380858733, 0.7252141448067371, 0.5374262423198508, -0.34982511999831134]],
[1.2471156669728058, [7456.679026533582, 399.69805305301713, 164.1898029002944, 334.2488325479335, 0.16308337053425598, -0.22564954170897528, 0.9805628198485576, 0.4977489581063751, 0.5363419684308135, -0.3461410243531883]],
[1.2539075961813435, [7456.677484484489, 399.6995267819807, 164.18990963358908, 334.2488989805835, 0.16308210782597599, -0.2256504251816136, 0.9805627777801041, 0.49774895679780096, 0.5363419759876957, 0.11869411833949223]],
[1.2556405587065127, [7457.297064668795, 399.9471888121522, 165.44088238401764, 333.37380686393703, 0.16114695542509713, -0.23066276409250525, 0.695722896716656, 0.7237958714781609, 0.5369875288871694, -0.9570411721236541]],
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[1.4155361004065408, [7301.504390584294, 334.15332621690607, 104.64251697125896, 190.02728970618307, 2.380591944209952, 2.125382597779983, -0.7610634468985145, 0.8529026176103417, 0.09446932794683567, 0.4796400938039622]],
[1.4155461321583127, [7301.068916391812, 334.7184498632364, 104.27798050006538, 190.1276792423371, 2.381934379002517, 2.9968551167980637, 0.852659637246963, 0.09451982799221316, 0.09446158443521058, 0.47963531469772597]],
[1.417004111009017, [7301.107167912606, 334.6664533006667, 104.30899223467343, 190.120969059267, 2.381805961009971, 0.14468562736528126, 3.1008219247567483, 0.8527489589691948, 0.0945031931318372, 0.4796235369501192]],
[1.4186920567232, [7921.500987827343, 316.97008202573113, 126.55263788118891, 205.15803175502532, 2.9513012106260046, 2.0051943935405516, -0.6415250745176191, 1.5062474549417744, 0.5652816681300997, -0.6541518931088341]],
[1.4190437319691465, [7920.18915411409, 318.59189334530436, 126.55390798843817, 205.01309473446003, 2.9545202364490883, 2.0067602953100883, -0.6415037248773101, 1.5062027509909934, 0.5653398508750433, -0.1732535040512267]],
[1.4217381423213495, [7400.464229505551, 405.1512357603118, 55.60147483813908, 171.99600710836694, 2.898246877889888, 0.6149876699488672, -2.6979073480081164, 1.6279054666093953, 2.5877336126984645, -2.9610372367956113]],
[1.4226314928857273, [7400.499050166101, 405.15116061303104, 55.712978351518366, 171.8184003143695, 2.898304606936672, 0.0859583101841919, 3.0976417033302024, 1.6411625078002476, 2.587145969194206, -2.962162507730554]],
[1.4239477545065742, [7920.390829725054, 317.375675146024, 127.5390726519131, 204.55137995187033, 2.9481233861765768, 2.2952627622867547, -0.4351933902793636, 1.4524227360866941, 0.5692321445757267, -0.645996317900728]],
[1.4244786146287374, [7303.139838631743, 334.25708587319116, 107.37340413207535, 187.21606804956855, 2.387429059140927, 0.1330293861947197, 0.6122272549953536, 1.2649910660231578, -0.7683494628476439, 0.47883847435437304]],
[1.4248987931705233, [7978.74063736424, 403.5306436498629, 53.331277192950395, 179.12487285867164, 0.24018966984790135, 0.8953101670362211, -0.08363883939418511, 1.2435449899061184, -0.2417934742302859, 0.5422452724015483]],
[1.4281767858298302, [7922.88591582166, 315.33969639280224, 126.15746695254961, 205.64445687927952, 2.948663457081205, 1.9978098084720273, -0.6445369614454248, 1.562945644026874, 0.174548008650315, -0.20204619796906012]],
[1.4291629144818043, [7400.531270676485, 405.14766404504815, 55.801516706357155, 171.67605638115077, 2.8983414838833967, 0.086094359662991, 3.097612642632221, 1.6479869593664511, 2.5867910591879104, -2.488393779621254]],
[1.429698038352885, [7929.798483810011, 309.96526226134586, 121.89558219474847, 208.91362292959641, 2.9521659416531154, 1.2141539916946233, -0.06668981931047549, 1.1763148303214699, 0.21642940644580697, -0.2067591648454917]],
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[1.4326922129793558, [7920.546012746227, 318.48677492151205, 126.18264599461043, 205.24652911436863, 2.9557473701414207, 2.0023261136278823, -0.6443008990854802, 1.5527548671161404, -0.20174533424929336, 0.12323015406312947]],
[1.4347334570433932, [7301.185224460434, 334.56174735497837, 104.37293836840385, 190.10598600869812, 2.381550018030474, 0.1445744209773931, 0.8526698796974385, 0.4796003816841712, 0.5367329700781233, 0.1713929715078228]],
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[1.4363841798312067, [7922.368107381597, 316.21471640616414, 126.15267831564009, 205.4834994210437, 2.9511839639942057, 1.9995623358510026, -0.6445553857920012, 1.573919629046366, 0.17456705400752992, 0.17449239099359837]],
[1.436937396835098, [7282.269573562175, 341.51574668169644, 140.7037378321499, 168.82887271597906, 0.7968280738223343, 2.282746163017076, -0.6312803764687843, 1.452768584970185, 0.5793815957687733, -0.16008981779539816]],
[1.4371525565344108, [7922.241765096804, 316.25729997342046, 126.26283203714506, 205.41847564146417, 2.9508006384646226, 2.286918996696679, -0.44178999404687436, 1.538940712389039, -0.2014163687799818, 0.12336614195527196]],
[1.4386285331194109, [7922.858000994307, 315.3606338143218, 126.1744738459135, 205.63165887313167, 2.9486462193727316, 2.285244789399421, -0.442268483298934, 1.561172150869115, 0.17455927728985, 0.17448001943792835]],
[1.438741423594576, [7278.218081366415, 343.26287529623875, 140.76461885700917, 168.4779645421192, 0.8036889148975936, 0.8647971013966571, -2.5219508864849307, 1.3997282835765323, 0.5869851579131397, -0.6322472603643501]],
[1.4389171539774617, [7290.439698846703, 353.0429765336429, 146.11662647162953, 164.01168308184774, 0.7150893416871271, 0.02738649346509898, 0.5918022839276154, 1.2052372206118651, -0.718891561695588, 0.10928606614263447]],
[1.438985405317947, [7923.327841129041, 314.2683477135961, 126.17282594586086, 205.92105595028067, 2.9447648021822515, 2.8676076517916, 0.04448991900854617, 1.5484840926661594, 0.17465962475818303, -0.20187507467195903]],
[1.4393358180095226, [7280.657826639348, 342.21115243412993, 140.70579108307004, 168.7079406181531, 0.79953438015503, 3.021573533612936, 0.045654140807472404, 1.4283052529082274, 0.5824201454275164, -0.15511058921383916]],
[1.4403197537689867, [7278.165885022284, 418.87749871876827, 71.25079388645484, 166.41272324417042, 0.8627668207512712, 2.5021588479472534, -0.43073872338020536, 1.439397725896412, 0.5811978221704843, -0.15735380400091395]],
[1.4423229800611697, [7397.127166416109, 71.50545153936974, 394.12271585176575, 171.21813087942616, 2.956200453757585, 0.8198322251577084, -2.4953520642845284, 1.6205673662727627, 2.5881518010643947, 2.9054543657851433]],
[1.442427877495241, [7400.463131831751, 405.15205519063295, 55.60151711052936, 171.99613716066085, 2.8982490046007934, 0.6149880997151507, -2.6979073511345093, 1.6279054168632583, 2.587733592967356, 2.9047501217506255]],
[1.4431357256087163, [7921.508196788597, 317.1822405402654, 126.35306809684192, 205.24465792927512, 2.9526190183943823, 2.870620879175694, 0.04455626820937379, 1.522200788973488, 0.175596205632656, 0.17551350475774644]],
[1.4436395366964523, [7400.519242599597, 405.143456894637, 55.74436354535116, 171.7664400405772, 2.8983011062018003, 3.055588893648787, 0.0439620275223566, 1.6438452942075235, 2.587011113935156, 2.903317834254005]],
[1.4445016196662928, [7920.888017791351, 317.93282408379883, 126.37694596988389, 205.16164459800635, 2.954036893493973, 2.8709860484843306, 0.0445649063445228, 1.51972934003253, -0.2005252351235599, 0.12379715067584235]],
[1.4449407776854777, [7285.6040964671665, 340.0752335577399, 140.77913711757276, 169.01687096405797, 0.7913218906263216, 2.287927322047059, -0.6408992835245713, 1.5391581968707182, 0.18132581219538857, -0.19718172190039185]],
[1.4459833955404888, [7922.1717533128085, 316.4827804489405, 126.16941739403931, 205.43447955752575, 2.9517857708759667, 2.0001913986895907, -0.6444236732302151, 1.5571886394916508, -0.20185137852891377, 0.47995870039326627]],
[1.4468403214722432, [7285.615399917895, 340.0702612153783, 140.77949046797394, 169.01749118733747, 0.7913038977100362, 3.0341095239674205, 0.04508425928009189, 1.5360243429697213, 0.18142339065418062, -0.19706516009020714]],
[1.446919799166815, [7282.383778644413, 341.46645099730404, 140.7046089649635, 168.83662486680274, 0.7966374433182755, 2.4953684097130893, -0.43285353659127185, 1.4552514880988963, 0.18710882672754486, -0.19013961105945976]],
[1.4498552248949497, [7284.021585699522, 340.75916970030306, 140.73087521932365, 168.93710168088978, 0.7939198916610815, 2.2854362041163943, -0.6363211729651859, 1.4860523326992006, -0.19360181279666921, 0.12877575933506086]],
[1.4509678850083862, [7923.341444493057, 314.08802341543924, 126.2062917100231, 205.96651258784794, 2.9438302668531127, 2.282955652621279, -0.44212873211742953, 1.549707417103413, -0.20181076141545243, 0.479875903232417]],
[1.452345196200281, [7285.164709495668, 340.2651451820646, 140.76358058807253, 168.99634248004506, 0.7920407578783579, 3.032938419639419, 0.04513595739276394, 1.5162313540947936, -0.195977822096552, 0.12762588106488268]],
[1.4536626579470782, [7285.831531271286, 339.97678232117516, 140.78770320567264, 169.02721162977537, 0.7909513205800431, 2.2882895433548285, -0.6415598664698234, 1.5605331534507791, 0.18092161807111107, 0.18084239668030547]],
[1.4539229013075121, [7285.655321793933, 340.05305145665966, 140.7810230764408, 169.01923754567738, 0.7912384279487702, 2.501037269714943, -0.4394034866031671, 1.5452424895550467, 0.18116598525448585, 0.18108605375616382]],
[1.454906269401018, [7285.8320378931585, 339.97656345909047, 140.7877231081014, 169.02723376187942, 0.7909504932211122, 3.0346747628449657, 0.04505940951427589, 1.5519120093038303, 0.18103824385233913, 0.18095764105787443]],
[1.457809015875769, [7921.322617748634, 316.6651306264248, 127.00027465627498, 204.95897020987564, 2.948601922286974, 2.870993353939038, 0.04474635944867096, 1.4758480541098222, -0.1970584654186901, 0.4809730277638932]],
[1.4641176673019092, [7285.527304880199, 340.1083496629078, 140.77624303120768, 169.0134634987183, 0.7914478068007407, 2.2878047014527843, -0.6406767055388267, 1.5347055934825067, -0.1969179874122097, 0.48496044230948987]],
[1.464853162826334, [7285.407260926224, 340.1602583791645, 140.77192739899039, 169.00788871567624, 0.7916439851033158, 2.5005984517963262, -0.4389053745046161, 1.5304484349986125, -0.19673844832116485, 0.4849999498471228]],
[1.4651730984691285, [7923.2161908845865, 314.6433990319756, 126.15223529234777, 205.81872825758865, 2.94632231143032, 1.995849709391912, -0.6445931828122058, 1.5673668518723938, 0.17448387549213493, 0.5634934941567887]],
[1.4662750298042493, [7285.2897174691825, 340.2110837115322, 140.7678170892451, 169.00234504742207, 0.7918362196445514, 3.0332625749091164, 0.045121616212905086, 1.520921114514676, -0.19625262030782614, 0.4851150304433398]],
[1.467204951581871, [7923.029778836677, 315.0320134279003, 126.16772176146705, 205.71061132514785, 2.947611496954936, 2.284675689553577, -0.44231071047886505, 1.5659312342084557, 0.17451130461195893, 0.5635287079686501]],
[1.4677322277932623, [7282.269573566306, 341.5157466853126, 140.70373783663626, 168.828872709012, 0.7968280737860584, 2.2827461630478103, -0.6312803764648718, 1.4527685849499719, 0.5793815957717792, 0.2699884576378526]],
[1.468053607410785, [7922.490157673573, 316.03295734594406, 126.14802520559806, 205.5155576451558, 2.9507248274453497, 1.142408878068189, -0.6445839703730281, 1.5724113961439743, -0.20193646218625622, 0.9079846533372062]],
[1.4707443172182104, [7280.657826638542, 342.2111524331467, 140.7057910819409, 168.70794061996003, 0.7995343801635827, 3.0215735336089535, 0.045654140807397145, 1.4283052529159366, 0.5824201454262219, 0.27562256009475833]],
[1.4713075912931153, [7922.3457798418785, 316.2185776373525, 126.17484025356887, 205.47116981849513, 2.951094512994165, 0.8552193271457643, -0.4422362945131425, 1.5838556390926781, -0.20182817598478214, 0.9079723492374399]],
[1.471367154033191, [7920.817002005448, 318.1746480882266, 126.19237649985703, 205.2564508839198, 2.9551896157517206, 2.870812801274136, 0.04451035018665973, 1.5445386779477541, 0.17490512466280644, 0.5639420654474245]],
[1.4805375220025294, [7923.29242655417, 314.4647810405115, 126.14502104848688, 205.87285464639362, 2.9456896303480082, 0.2737079483166359, 0.04448325724531739, 1.5875185209789344, -0.20181600264718236, 0.9078341249440955]],
[1.48371317830001, [7285.786047064708, 339.99645384821974, 140.78594232311372, 169.0251907401473, 0.7910254879554468, 2.2882169203862386, -0.6414277559929886, 1.5539283464059015, 0.1810023560224998, 0.5733655420055153]],
[1.484919988747171, [7285.862531349232, 339.9634344889079, 140.7889595289635, 169.02850820726434, 0.7909004556688513, 3.03475456829678, 0.045055918265770864, 1.555411102809421, 0.18098420462713832, 0.5733492947056296]],
[1.492211759288086, [7281.147175014168, 342.0033273723395, 140.70500106748483, 168.74252219978973, 0.7986918785965162, 0.6482916694852175, -2.7112567750046734, 1.4360532164269402, 0.1894755672881102, 0.5812878936973336]],
[1.4946877474788927, [7285.732190327246, 340.019746255736, 140.78387909863204, 169.02278176756812, 0.7911133334367662, 0.10717860170527395, 0.04507160290133118, 1.5415228469998596, -0.19708586513675927, 2.2256219206775034]],
[1.5180684724561386, [7285.882367771541, 339.95795990099305, 140.79216526808102, 169.02554047655167, 0.7908510635618275, 0.8532066746112159, -0.6416630886724053, 1.5665438540549745, -0.19758388194397059, 2.225571062646172]],
]
def verify(ys, xs):
for i in range(len(ys)):
solo_mgar = _solo_mgar_udp([7000, 8000])
prob = pg.problem(pg.unconstrain(solo_mgar,method="weighted",weights=[1.0, 10000.0, 100, 100]))
y0 = ys[i]
x = xs[i]
y = prob.fitness(x)[0]
print(y0, y, y0-y)
assert abs(y0 - y) < 0.00001
def check_good_solution(x):
solo_mgar = _solo_mgar_udp([7000, 8000])
prob = pg.problem(pg.unconstrain(solo_mgar,method="weighted",weights=[1.0, 10000.0, 100, 100]))
print (str(prob.fitness(x)))
solo_mgar.pretty(x)
solo_mgar.plot(x)
solo_mgar.plot_distance_and_flybys(x)
plt.show()
if __name__ == '__main__':
ys = [s[0] for s in sols]
xs = [s[1] for s in sols]
verify(ys, xs)
check_good_solution(xs[0])
# Copyright (c) Dietmar Wolz.
#
# Optimization model solutions for https://www.esa.int/Science_Exploration/Space_Science/Solar_Orbiter
# Computed with https://github.com/dietmarwo/fast-cma-es
# Solutions are for pykep.trajopt.gym._solar_orbiter._solar_orbiter_udp
# Requires pykep PR branch https://github.com/esa/pykep/pull/127
from pykep.planet import jpl_lp
import matplotlib.pyplot as plt
from pykep.trajopt.gym._solar_orbiter import _solar_orbiter_udp
import pygmo as pg
sols = [
[1.270315735729466, [7454.227253181706, 404.2492585454895, 224.7007667367431, 166.75562436095473, 332.20034190736624, 224.7007033587572, 224.70064286806823, 674.1020133559512, 449.4013942063623, 449.40141774132877, 0.5454694231091294, 0.15597184261817543, 1.0580158987375405, 0.4845016003258309, -0.2354617160378205, 1.0578325741925068, 0.6249126036073703, 0.03630226656409301, 1.058511887507585, 0.40899874348989296, 0.9905250114462814, 1.0579535579584731, 0.5298162989577895, 0.4999681014536068, 1.0584906198116282, 0.5103286373262655, 0.09134040110344413, 1.0610927192241462, 0.9647578582671308, 1.4734423553470353]],
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[1.7592261873323372, [7400.462463376995, 405.150661650071, 224.7005188375291, 55.60407063946566, 171.9957348645045, 898.8037731834103, 224.70069495726904, 449.40143688382443, 674.1015980703992, 674.101855417221, 0.5316654280373977, 2.898101595374344, 1.0586785542846917, 0.8864323325044167, 0.6150258398768667, 1.0578453169768065, 0.40485520412511805, -2.698154913701291, 1.0578922274139897, 0.8064617773466412, 1.507765422673627, 1.0578345322714684, 0.31818669589922594, 2.5873522325685965, 1.057839377066561, 0.5049570656410298, 2.9046250872105617, 1.0617745165351051, 2.5644248637854012, 3.218887560153832]],
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[2.165535828449856, [7437.3878690494785, 175.01648059534614, 531.3062084724946, 700.23868410829, 508.3967405209105, 449.4004399666455, 674.1021757275415, 785.4845144022245, 224.70001890257026, 224.70173202803733, 0.45021938503892805, 1.2312879874983933, 3.87260204233646, 0.12148284665823808, -3.168054304523923, 1.0596311212564848, 0.0701082881833649, -3.147008563274835, 29.87530784033252, 0.6354460582305339, 0.06005422024417058, 1.249392000632547, 0.4812187076737511, -6.249558141860996, 3.141093342230612, 0.5723717335479717, 0.03183368341109531, 3.4012294533464704, 2.0216662989960987, 1.05783212161269]],
]
def verify(ys, xs):
earth = jpl_lp("earth")
venus = jpl_lp("venus")
seq = [earth, venus, venus, earth, venus, venus, venus, venus, venus, venus]
for i in range(len(ys)):
solar_orbiter = _solar_orbiter_udp([7000, 8000], seq=seq, max_revs=3, dummy_DSMs=True)
prob = pg.problem(pg.unconstrain(solar_orbiter,method="weighted",weights=[1.0, 10.0, 100, 100]))
y0 = ys[i]
x = xs[i]
y = prob.fitness(x)[0]
print(y0, y, y0-y)
assert abs(y0 - y) < 0.00001
def check_good_solution(x):
earth = jpl_lp("earth")
venus = jpl_lp("venus")
seq = [earth, venus, venus, earth, venus, venus, venus, venus, venus, venus]
solar_orbiter = _solar_orbiter_udp([7000, 8000], seq=seq, max_revs=3, dummy_DSMs=True)
prob = pg.problem(pg.unconstrain(solar_orbiter,method="weighted",weights=[1.0, 10.0, 100, 100]))
print (str(prob.fitness(x)))
solar_orbiter.pretty(x)
solar_orbiter.plot(x)
solar_orbiter.plot_distance_and_flybys(x)
plt.show()
if __name__ == '__main__':
ys = [s[0] for s in sols]
xs = [s[1] for s in sols]
verify(ys, xs)
check_good_solution(xs[0])
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