Kodi evolutionary optimization algorithm ndi chiyani?
Chisinthiko kukhathamiritsa aligorivimu ndi computational "njira" yozikidwa pa chiphunzitso cha chisinthiko chomwe chimalola kupeza njira zothetsera mavuto ovuta. Njirayi imachokera ku lingaliro lakuti, mwa kutsanzira njira za kusankhidwa kwachilengedwe ndi kubereka, chiwerengero cha mayankho chikhoza kukonzedwa pang'onopang'ono kuti chifike pa njira yabwino yothetsera vutoli. M'nkhaniyi, tiwona mozama kuti chisinthiko cha kukhathamiritsa ndi chiyani, momwe chimagwirira ntchito, komanso momwe chimagwiritsidwira ntchito m'magawo osiyanasiyana ophunzirira.
Chiphunzitso cha chisinthiko monga poyambira
Kuti timvetsetse algorithm yachisinthiko, ndikofunikira kukhala ndi chidziwitso choyambirira cha chiphunzitso cha chisinthiko chopangidwa ndi Charles Darwin. Chisinthiko chimachokera pa mfundo yoti anthu omwe amagwirizana bwino ndi chilengedwe amatha kukhala ndi moyo ndi kuberekana, motero amatumiza makhalidwe awo abwino ku m'badwo wotsatira imapitilira kupyolera mu njira zosankhira, kubalana ndi kusintha masinthidwe, ndi cholinga chofuna kupeza njira yothetsera vutolo.
Momwe evolutionary optimization algorithm imagwirira ntchito
Chisinthiko cha kukhathamiritsa algorithm chimayambira pagulu loyambira la mayankho omwe akuyimira zotheka soluciones al problema adalemba. Kupyolera mu ndondomeko yobwerezabwereza, zothetsera zimasankhidwa kukhala gawo la m'badwo wotsatira, kutengera khalidwe kapena kusinthasintha kwawo.. Mayankho osankhidwa amapangidwanso, ndikupanga mayankho atsopano omwe amaphatikiza mawonekedwe a mayankho awiri am'mbuyomu. Panthawiyi njira iyi, masinthidwe amathanso kuyambitsidwa kuti ayambitse kusinthasintha ndikuwunika njira zatsopano zothetsera. Ndi m'badwo uliwonse, chiwerengero cha anthu chimasintha mpaka chikafike pa yankho lomwe likugwirizana ndi zomwe zakhazikitsidwa.
Kugwiritsa ntchito ma evolutionary optimization algorithms
Ma algorithms okhathamiritsa osinthika ali ndi ntchito m'magawo osiyanasiyana, kuphatikiza engineering, economics, logistics, bioinformatics, ndi kuphunzira pamakina. Ma algorithms awa atha kugwiritsidwa ntchito kuthana ndi zovuta zamapangidwe a uinjiniya, kukhathamiritsa kwa njira, kapena kukonza, kutchula madera ochepa ogwiritsira ntchito. Kusinthasintha ndi kusinthika kwa ma algorithms osinthika amawapangitsa kukhala zida zamphamvu zopezera mayankho ogwira mtima komanso abwino kwambiri munthawi zosiyanasiyana.
Mwachidule, chisinthiko kukhathamiritsa aligorivimu ndi njira yozikidwa pa chiphunzitso cha chisinthiko chomwe chimafuna kusintha pang'onopang'ono njira zothetsera mavuto posankha, kubereka ndi kusintha. Ma algorithms awa amapeza ntchito m'magawo osiyanasiyana ndipo amatha kupeza njira zothetsera mavuto ovuta. M'magawo otsatirawa, tisanthula mwatsatanetsatane gawo lililonse la algorithm yosinthira kukhathamiritsa ndikusanthula zochitika zomwe zikuwonetsa kuti ndizothandiza pazinthu zosiyanasiyana.
- Tanthauzo la chisinthiko kukhathamiritsa algorithm
Evolutionary optimization algorithms Ndi gulu la njira zowerengera zomwe zimagwiritsidwa ntchito kufunafuna njira zothetsera mavuto ovuta awa amachokera pa mfundo ya kusinthika kwachilengedwe ndikugwiritsa ntchito njira zotsogozedwa ndi ma genetic ndi masankhidwe achilengedwe. Lingaliro lakumbuyo kwa ma algorithms awa ndikufanizira njira yachisinthiko, pomwe mayankho amasinthidwa pang'onopang'ono ndikubwerezabwereza ndipo oyenera kwambiri amasankhidwa kuti apite ku mayankho odalirika.
Chimodzi mwazinthu zazikulu za ma algorithms okhathamiritsa osinthika Ndi kuthekera kwanu kufufuza danga layankho mosamalitsa ndikupeza mayankho ocheperako. Ma algorithms awa nthawi zambiri amagwira ntchito limodzi ndi anthu oyambira omwe amayankha, omwe amakumananso ndikusinthanso kusintha kuti apange mayankho atsopano. Kenako, ntchito ya yankho lililonse imawunikidwa potengera cholinga ndipo zabwino kwambiri zimasankhidwa kuti ziberekane ndikupanga m'badwo watsopano.
Pali mitundu ingapo ya ma algorithms osinthira kukhathamiritsa, monga ma genetic algorithms, ma genetic programming ndi njira zachisinthiko, iliyonse ili ndi mawonekedwe ake ndi momwe amagwiritsidwira ntchito. Ma algorithms a genetic amagwiritsa ntchito ntchito monga kusankha, crossover, ndi masinthidwe kuti apeze mayankho olondola mumalo osakira a Genetic programming amagwiritsa ntchito zida zofufuzira kuti apeze mayankho kumavuto ovuta. Njira zachisinthiko zimayang'ana kwambiri kusintha kwa chiwerengero cha anthu pogwiritsa ntchito masinthidwe ndi kusankha.
Powombetsa mkota, evolutionary kukhathamiritsa ma aligorivimu Ndi zida zamphamvu zothetsera mavuto ovuta ndikupeza mayankho abwino. Ma aligorivimuwa amagwiritsa ntchito njira zotsogozedwa ndi kusinthika kwachilengedwe kuti afufuze mayankho munjira yothetsera. Kupyolera mu kubwereza ndi kubwerezanso ndi kusintha ntchito, ma aligorivimuwa pang'onopang'ono amawongolera mayankho ndikusankha omwe angayembekezere kwambiri. Mitundu yosiyanasiyana ya ma algorithms okhathamiritsa osinthika imapereka njira zosiyanasiyana zothetsera mavuto osiyanasiyana ndikugwiritsa ntchito m'magawo osiyanasiyana.
- Mfundo zoyambira za algorithm yosinthira kukhathamiritsa
Mfundo zoyambira za evolutionary optimization algorithm
Chisinthiko cha kukhathamiritsa algorithm ndi chida champhamvu chomwe chimagwiritsidwa ntchito mu sayansi yamakompyuta ndi masamu kuthetsa mavuto ovuta. Lingaliro chikhazikitso kumbuyo mtundu wa algorithm ukutengera chiphunzitso cha chisinthiko chachilengedwe, kugwiritsa ntchito mfundo za kusankha kwachilengedwe ndi kuberekanso kumagulu angapo. Pamene algorithm ikusintha, imayesetsa kupeza njira yabwino yothetsera vuto lomwe likubwera.
Mfundo yoyamba yofunikira ya chisinthiko cha kukhathamiritsa aligorivimu ndi codificación. Njira iliyonse yomwe ingatheke imayimiridwa ndi mndandanda wa jini, womwe umatanthawuza makhalidwe ndi machitidwe a yankholo. Majiniwa amatha kukhala manambala, zingwe zolembera, kapena choyimira china chilichonse choyenera kuthana ndi vuto lomwe lilipo. Kulemba koyenera ndikofunikira kuti mupeze mayankho abwino.
Mfundo yofunika yachiwiri ndi kusankha. Pakubwereza kulikonse kwa algorithm, ubwino wa njira zomwe zilipo panopa zimawunikidwa ndipo zabwino kwambiri zimasankhidwa ku mbadwo wotsatira. Kusankha nthawi zambiri kumatengera ntchito yowunikira, yomwe imapereka chiwongolero ku yankho lililonse kutengera kuyenera kwake ku vutolo. Mayankho okhala ndi zigoli zambiri amakhala ndi mwayi wopulumuka ndikuberekanso, kupereka mawonekedwe awo ku mibadwo yotsatira.
Pomaliza, mfundo yofunika yachitatu ndi kubereka. Kuchokera pamayankho osankhidwa, mayankho atsopano amapangidwa kudzera mu ntchito za majini monga recombination ndi masinthidwe amaphatikiza majini kuchokera ku njira zosiyanasiyana kuti apange ana okhala ndi makhalidwe osakanikirana. Kumbali inayi, masinthidwe amabweretsa kusintha kwachisawawa kwa majini kuti asungitse mitundu yosiyanasiyana ndikuwunika madera atsopano a danga. Kubalana kumapereka mwayi wopititsa patsogolo mayankho omwe alipo ndikupeza mayankho atsopano.
Mwachidule, chisinthiko kukhathamiritsa aligorivimu imachokera pa mfundo zolembera, kusankha ndi kubereka kuti mupeze njira yabwino yothetsera vuto lovuta. Kulemba koyenera, kusankha mayankho abwino kwambiri, ndikuseweranso kuti mupange mayankho atsopano ndiye mizati yayikulu ya ma algorithms awa. Kupyolera mukugwiritsa ntchito mfundozi, ma algorithms osinthika osinthika akhala chida champhamvu chothetsera mavuto osiyanasiyana m'malo osiyanasiyana ofufuza komanso kugwiritsa ntchito kothandiza.
- Zinthu zazikulu mu algorithm yosinthira kukhathamiritsa
Un evolutionary optimization algorithm Ndi njira yomwe imafuna kutsanzira ndondomeko ya chisinthiko cha chilengedwe kuthetsa mavuto zovuta kukhathamiritsa njira. Ma aligorivimuwa amatengera mfundo zachilengedwe, monga kusankha kwachilengedwe komanso kuberekana, ndipo gwiritsani ntchito lingaliro lakusintha pang'onopang'ono kukonza njira yothetsera vuto lomwe mwapatsidwa.
Pali zingapo zinthu zofunika kwambiri zomwe ndizofunika kwambiri pakukhathamiritsa kwachisinthiko algorithm. Chinthu choyamba ndi población inicial, yomwe ili ndi njira zothetsera vutoli. Mayankho awa akuimiridwa ngati anthu pagulu la anthu ndipo amawunikidwa pogwiritsa ntchito mawonekedwe olimba omwe amayesa momwe yankho lililonse lilili labwino.
Chinthu china chofunikira ndi kusankha woyendetsa, yomwe imatsimikizira kuti ndi anthu ati omwe adzasankhidwe kuti aberekenso ndikupanga njira zothetsera mavuto. Pali njira zosiyanasiyana zosankhira, monga kusankha masewera kapena kusankha koyenera. Komanso, a wogwiritsa ntchito crossover Amagwiritsidwa ntchito kuphatikiza makhalidwe a njira ziwiri zosankhidwa ndi kupanga ana ndi mitundu yatsopano ya majini. Pomaliza, a mutation operator amagwiritsidwa ntchito kuyambitsa zosintha zing'onozing'ono zamayankho, kulola madera atsopano a malo othetsera kuti awonedwe. Pamene algorithm ikupita ku mibadwomibadwo, mayankho amasinthika ndikuyandikira njira yabwino yothetsera vuto lomwe laperekedwa. Ndi zinthu zazikuluzikuluzi, ma algorithms osinthika osinthika amatha kuthana ndi mavuto osiyanasiyana okhathamiritsa m'magawo osiyanasiyana.
- Ubwino ndi kuipa kwa masinthidwe okhathamiritsa ma aligorivimu
Un evolutionary optimization algorithm Ndi ukadaulo zomwe zimagwiritsidwa ntchito kupeza njira zothetsera mavuto osiyanasiyana ovuta. Ma aligorivimuwa amatsogozedwa ndi chiphunzitso cha chisinthiko chachilengedwe ndikugwiritsa ntchito mfundo monga kusankhira zachilengedwe ndi kubalana kuti apititse patsogolo mobwerezabwereza njira zothetsera mavuto. M'kupita kwa nthawi, ma algorithms osinthika osinthika amapanga mayankho omwe akuyandikira kwambiri omwe ali abwino kwambiri.
M'modzi mwa ubwino zachisinthiko kukhathamiritsa ma aligorivimu ndi zake kusinthasintha. Atha kugwiritsidwa ntchito pamavuto osiyanasiyana m'malo osiyanasiyana, monga engineering, economics, and computing. Kuphatikiza apo, ma aligorivimuwa safuna kudziwa za ntchito yeniyeni yowunikira kapena kudziwa mwatsatanetsatane vutolo, zomwe zimapangitsa kuti zikhale zothandiza ngati chidziwitso chili chochepa kapena chosatsimikizika.
Kumbali ina, palinso zovuta pakugwiritsa ntchito ma algorithms osinthika. Chimodzi mwazovuta zazikulu ndikuti ma aligorivimuwa amatha kukhala ovuta kwambiri, makamaka akamagwira ntchito ndi mavuto akulu. Komanso, ntchito yake imakhudzidwa kwambiri kukhudzidwa ndi kusankha kwa parameter ndi kasinthidwe koyambirira, zomwe zingafunike a ndondomeko yokonzekera ndi kuyesa kupeza zotsatira zabwino.
- Kugwiritsa ntchito kwachisinthiko kukhathamiritsa ma algorithms
Un evolutionary optimization algorithm Ndi njira yothetsera mavuto yomwe imalimbikitsidwa ndi ndondomeko ya chisinthiko chachilengedwe. Ma aligorivimuwa amagwiritsa ntchito njira zotengera kusankha, crossover ndi masinthidwe kuti apeze mayankho abwino kapena oyandikira pamavuto ovuta kukhathamiritsa.
Ma algorithms awa ali ndi ntchito zothandiza m'madera osiyanasiyana, monga engineering, logistics, economics ndi biology, pakati pa ena. Mwachitsanzo, mu uinjiniya, amatha kugwiritsidwa ntchito popanga mapangidwe, kukhathamiritsa njira, komanso kukonza ntchito. Muzochita, atha kuthandizira kupeza njira yabwino yobweretsera kapena kugawa koyenera kwazinthu. Muzachuma, atha kugwiritsidwa ntchito pogawa bwino chuma kapena kukhathamiritsa mabizinesi. Mu biology, atha kukhala othandiza pakuzindikiritsa ma genetic omwe amatsatana bwino kwambiri kapena kutengera njira zachisinthiko.
Ubwino ubwino wamachisinthiko okhathamiritsa ma aligorivimu ndi kuthekera kwawo kopeza mayankho abwino kwambiri kapena oyandikira ku zovuta zovuta, pomwe njira zachikhalidwe zitha kukhala zosakwanira kapena zosatha kupeza yankho. Kuphatikiza apo, ma algorithms awa ndi wosinthika komanso wosinthika, popeza amatha kusinthidwa kuti athetse mavuto amitundu yosiyanasiyana ndikuganizira njira zingapo zokwaniritsira. Komabe, amakhalanso ndi zovuta zina, monga kusankha magawo oyenerera ndi nthawi yokonzekera, yomwe ingakhale yaitali m'mavuto aakulu.
- Malangizo pakukhazikitsa algorithm yosinthira kukhathamiritsa
Un evolutionary optimization algorithm ndi njira yothetsera mavuto yozikidwa pa chisinthiko cha chilengedwe ndi chiphunzitso cha kupulumuka kwa oyenerera Imagwiritsira ntchito mfundo ndi mfundo zouziridwa ndi majini ndi masankhidwe achilengedwe kuti apeze njira zothetsera mavuto ovuta amtundu uwu m'mibadwo ingapo, pomwe munthu aliyense amayimira njira yothetsera vuto lomwe lilipo.
Para poder implementar un evolutionary optimization algorithm Zoonadi, m’pofunika kuganizira mfundo zina zofunika kwambiri. Choyamba, ndikofunikira kufotokozera momveka bwino vuto lomwe liyenera kuthetsedwa ndikukhazikitsa zolinga zomwe mukufuna kukwaniritsa. Kuphatikiza apo, ndikofunikira kusankha mosamalitsa zosintha ndi magawo omwe angagwiritsidwe ntchito mu algorithm, popeza adzakhala ndi chidwi chachikulu pakuchita bwino komanso kuthekera kwa yankho lomwe mwapeza.
Chinthu china chofunika kwambiri chomwe chiyenera kuganiziridwa ndi kusankha kwa ogwiritsira ntchito majini oyenerera, monga kubereka, crossover ndi masinthidwe, zomwe zidzalola kupanga njira zatsopano komanso kufufuza bwino malo osaka. Kuphatikiza apo, ndikofunikira kugwiritsa ntchito njira zokongoletsera zakumaloko kuti mupitirize kukonzanso zomwe zapezeka. Pomaliza, ndikofunikira kuchita zoyeserera mozama ndikuwunika kuti muwone momwe ma algorithm amagwiritsidwira ntchito ndikufanizira ndi njira zina zomwe zilipo, zomwe zidzatsimikizira kugwira ntchito kwake ndikuzindikira madera omwe angathe kusintha.
-Zomwe zikuchitika komanso kupita patsogolo m'gawo la ma algorithms osinthika
Chisinthiko cha kukhathamiritsa algorithm ndi njira yosaka ndi kukhathamiritsa kutengera mfundo zowuziridwa ndi chiphunzitso cha chisinthiko ndi ma genetic. Ma algorithms awa amagwiritsidwa ntchito kuthetsa mavuto ovuta omwe sangathe kuthetsedwa ndi njira zachikhalidwe. Ma algorithms okhathamiritsa osinthika amagwiritsa ntchito njira yobwerezabwereza "kuwongolera yankho loyambirira" popanga mayankho zotheka ndikugwiritsa ntchito ogwiritsira ntchito ma genetic monga kusankha, crossover, ndi masinthidwe.
Chimodzi mwazinthu zofunika kwambiri pazachisinthiko kukhathamiritsa ma algorithms ndikugwiritsa ntchito njira zophunzirira makina. Izi zimalola ma algorithms kuti azitha kusintha ndikuwongolera pomwe akuyendetsa, zomwe zimapangitsa kuti pakhale mayankho ogwira mtima komanso ogwira mtima. Kuphatikiza apo, njira zosakanizidwa zikupangidwa zomwe zimaphatikiza ma algorithms osinthika ndi njira zina zokometsera, monga ma algorithms otengera nzeru zochita kupanga.
Kupititsa patsogolo m'gawoli kumaphatikizaponso kuwongolera ogwiritsira ntchito majini omwe amagwiritsidwa ntchito popititsa patsogolo chisinthiko algorithms. Ochita kafukufuku akupanga ogwira ntchito atsopano omwe amalola kufufuza bwino kwa malo osaka ndikugwiritsira ntchito bwino mayankho omwe akupezeka. Kuphatikiza apo, njira zofananira zikugwiritsidwa ntchito kufulumizitsa kayendetsedwe kakukhathamiritsa ndi kulola kuthetsa mavuto akulu ndi ovuta mu nthawi yochepa. pa
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